We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 06, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 06, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 06, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 06, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 06, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
The Ellison Institute of Technology (EIT) Oxford's purpose is to have a global impact by fundamentally reimagining the way science and technology translate into end-to-end solutions and delivering these solutions in programmes and platforms that respond to humanity's most challenging problems. EIT Oxford will ensure scientific discoveries and pioneering science are turned into products for the benefit of society that can have high-impact worldwide and, over time, be commercialised to ensure long-term sustainability. Led by a world-class faculty of scientists, technologists, policy makers, economists and entrepreneurs, the Ellison Institute of Technology aims to develop and deploy commercially sustainable solutions to solve some of humanity's most enduring challenges. Our work is guided by four Humane Endeavours: Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change & Managing Atmospheric CO2 and Artificial Intelligence & Robotics. Set for completion in 2027, the EIT Campus in Littlemore will include more than 300,000 sq ft of research laboratories, educational and gathering spaces. Fuelled by growing ambition and the strength of Oxford's science ecosystem, EIT is now expanding its footprint to a 2 million sq ft Campus across the western part of The Oxford Science Park. Designed by Foster + Partners led by Lord Norman Foster, this will become a transformative workplace for up to 7,000 people, with autonomous laboratories, purpose-built laboratories including a plant sciences building and dynamic spaces to spark interdisciplinary collaboration. We are looking to recruita Research Scientist with expertise in large-scale machine learning. In this role you will design, train, and evaluate advanced machine learning models to support scientific and technological progress across multiple fields. Key Responsibilities Contribute to research projects from initial concept through to deployment in collaboration with applied and operations teams. Develop and train large-scale models, including those integrating multiple data types and complex datasets. Work with teams of scientists, clinicians, and engineers to ensure research objectives meet practical application requirements. Communicate research results through internal presentations and external publications, as applicable. Maintain high standards of code quality, reproducibility, and team collaboration practices. Qualifications PhD or equivalent experience in Computer Science, Machine Learning, or a related discipline (eg. Physics, mathematics, and computational biology). Experience in designing and implementing large-scale machine learning systems, such as, aspects of model training, finetuning, data management, and distributed computing. A record of impactful research as demonstrated by at least one publication in AI/ML conferences, patents, or scientific journals. Excellent communication skills and the willingness to work with diverse cross-functional teams while solving ambitious and complex problems in an efficient manner. Salary and Benefits Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Why work for EIT At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact!
Mar 03, 2026
Full time
The Ellison Institute of Technology (EIT) Oxford's purpose is to have a global impact by fundamentally reimagining the way science and technology translate into end-to-end solutions and delivering these solutions in programmes and platforms that respond to humanity's most challenging problems. EIT Oxford will ensure scientific discoveries and pioneering science are turned into products for the benefit of society that can have high-impact worldwide and, over time, be commercialised to ensure long-term sustainability. Led by a world-class faculty of scientists, technologists, policy makers, economists and entrepreneurs, the Ellison Institute of Technology aims to develop and deploy commercially sustainable solutions to solve some of humanity's most enduring challenges. Our work is guided by four Humane Endeavours: Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change & Managing Atmospheric CO2 and Artificial Intelligence & Robotics. Set for completion in 2027, the EIT Campus in Littlemore will include more than 300,000 sq ft of research laboratories, educational and gathering spaces. Fuelled by growing ambition and the strength of Oxford's science ecosystem, EIT is now expanding its footprint to a 2 million sq ft Campus across the western part of The Oxford Science Park. Designed by Foster + Partners led by Lord Norman Foster, this will become a transformative workplace for up to 7,000 people, with autonomous laboratories, purpose-built laboratories including a plant sciences building and dynamic spaces to spark interdisciplinary collaboration. We are looking to recruita Research Scientist with expertise in large-scale machine learning. In this role you will design, train, and evaluate advanced machine learning models to support scientific and technological progress across multiple fields. Key Responsibilities Contribute to research projects from initial concept through to deployment in collaboration with applied and operations teams. Develop and train large-scale models, including those integrating multiple data types and complex datasets. Work with teams of scientists, clinicians, and engineers to ensure research objectives meet practical application requirements. Communicate research results through internal presentations and external publications, as applicable. Maintain high standards of code quality, reproducibility, and team collaboration practices. Qualifications PhD or equivalent experience in Computer Science, Machine Learning, or a related discipline (eg. Physics, mathematics, and computational biology). Experience in designing and implementing large-scale machine learning systems, such as, aspects of model training, finetuning, data management, and distributed computing. A record of impactful research as demonstrated by at least one publication in AI/ML conferences, patents, or scientific journals. Excellent communication skills and the willingness to work with diverse cross-functional teams while solving ambitious and complex problems in an efficient manner. Salary and Benefits Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Why work for EIT At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact!
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 03, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Date Posted: 2026-02-23 Country: United Kingdom Location: Gloucester, South Gloucestershire Position Role Type: Unspecified Senior Data Scientist & Machine Learning Researcher Location Gloucester, London or Manchester Hybrid role: Must be prepared to work from a Raytheon or customer site depending on demand. Average of 3 days a week on-site. SC Required Must already hold or be able to gain an eDV clearance. Duration Permanent Hours Fulltime 37 hrs Raytheon UK At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence. Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world. About the role This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In this role you will be responsible for the technical development and leadership of AI/ML projects from initial idea scoping right through to final project delivery both in customer and internal domains. You will demonstrate novel thinking and propose new ideas for solving challenging problems while mentoring others on your project team to deliver towards your proposed solution. Skills and Experience Requirements BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have an established track record of delivering ML solutions to customers and internal stakeholders. Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature. Experience of training and developing AI models including Large Language Models. Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications. Problem solve with autonomy. Be a self-starter, being pro-active in finding solutions. Experience of mentoring other team members and undertaking technical leadership on small projects or sub-parts of larger deliveries. Desirable PhD. or Masters degree highlighting experience of academic research. Experience using robust ML pipelines, appropriate version control and environment management (such as venvs or Docker). Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd ) Experience of deploying AI models in a scalable way for external users. Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure. Research publications in peer reviewed journals. Comfortable following agile processes for project delivery. Experience of delivering AI/ML projects in defence or government. Existing network of contacts across defence and government. Experience of writing technical project proposals. Responsibilities Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance. Brings experience in scoping, designing, and delivering data-centric solutions while working collaboratively across disciplines. Undertake research and applied AI/ML tasks on both customer and internal research projects. Provide technical leadership in small project groups. Generate ideas for new research directions. Advise on suitability of group research ideas based on previous experience. Mentor more junior team members within their project team and the wider SRG. Deliver AI/ML/Data Science solutions to broad range of problems in defence. Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery. Excellent communication skills, prepared to present and undertake practical demonstrations of work internally in the team and to senior stakeholders with adaptability to audiences of different levels of technical expertise. Benefits and Work Culture Benefits Competitive salaries. 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) Contributory Pension Scheme (up to 10.5% company contribution) Company bonus scheme (discretionary). 6 times salary 'Life Assurance' with pension. Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others. Enhanced sick pay. Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave. Car / Car allowance (dependant on grade/ role) Private Medical Insurance (dependant on grade) Work Culture 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. Early 1.30pm finish Friday, start your weekend early! Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities. Up to 5 paid days volunteering each year. RTX Raytheon UK is a landed company and part of the wider RTX organisation. Headquartered in Arlington, Virginia, USA, but with over 180,000 employees globally across every continent, RTX provides advanced systems and services for commercial, military and government customers worldwide and comprises three industry-leading businesses - Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Supporting over 35,000 jobs across 13 UK sites, RTX is helping to drive prosperity. Each year our work contributes over £2.7bn to the UK economy and offers a wealth of opportunities to 4,000 suppliers across England, Scotland, Wales and Northern Ireland. We're investing in all corners of the country, supporting 29,040 jobs in England, 3,040 in Northern Ireland, 1,900 in Scotland and 1,600 in Wales. RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. Tagged as: Industry, Language Modeling, Machine Learning, NLP, United Kingdom
Mar 02, 2026
Full time
Date Posted: 2026-02-23 Country: United Kingdom Location: Gloucester, South Gloucestershire Position Role Type: Unspecified Senior Data Scientist & Machine Learning Researcher Location Gloucester, London or Manchester Hybrid role: Must be prepared to work from a Raytheon or customer site depending on demand. Average of 3 days a week on-site. SC Required Must already hold or be able to gain an eDV clearance. Duration Permanent Hours Fulltime 37 hrs Raytheon UK At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence. Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world. About the role This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In this role you will be responsible for the technical development and leadership of AI/ML projects from initial idea scoping right through to final project delivery both in customer and internal domains. You will demonstrate novel thinking and propose new ideas for solving challenging problems while mentoring others on your project team to deliver towards your proposed solution. Skills and Experience Requirements BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have an established track record of delivering ML solutions to customers and internal stakeholders. Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature. Experience of training and developing AI models including Large Language Models. Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications. Problem solve with autonomy. Be a self-starter, being pro-active in finding solutions. Experience of mentoring other team members and undertaking technical leadership on small projects or sub-parts of larger deliveries. Desirable PhD. or Masters degree highlighting experience of academic research. Experience using robust ML pipelines, appropriate version control and environment management (such as venvs or Docker). Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd ) Experience of deploying AI models in a scalable way for external users. Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure. Research publications in peer reviewed journals. Comfortable following agile processes for project delivery. Experience of delivering AI/ML projects in defence or government. Existing network of contacts across defence and government. Experience of writing technical project proposals. Responsibilities Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance. Brings experience in scoping, designing, and delivering data-centric solutions while working collaboratively across disciplines. Undertake research and applied AI/ML tasks on both customer and internal research projects. Provide technical leadership in small project groups. Generate ideas for new research directions. Advise on suitability of group research ideas based on previous experience. Mentor more junior team members within their project team and the wider SRG. Deliver AI/ML/Data Science solutions to broad range of problems in defence. Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery. Excellent communication skills, prepared to present and undertake practical demonstrations of work internally in the team and to senior stakeholders with adaptability to audiences of different levels of technical expertise. Benefits and Work Culture Benefits Competitive salaries. 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) Contributory Pension Scheme (up to 10.5% company contribution) Company bonus scheme (discretionary). 6 times salary 'Life Assurance' with pension. Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others. Enhanced sick pay. Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave. Car / Car allowance (dependant on grade/ role) Private Medical Insurance (dependant on grade) Work Culture 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. Early 1.30pm finish Friday, start your weekend early! Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities. Up to 5 paid days volunteering each year. RTX Raytheon UK is a landed company and part of the wider RTX organisation. Headquartered in Arlington, Virginia, USA, but with over 180,000 employees globally across every continent, RTX provides advanced systems and services for commercial, military and government customers worldwide and comprises three industry-leading businesses - Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Supporting over 35,000 jobs across 13 UK sites, RTX is helping to drive prosperity. Each year our work contributes over £2.7bn to the UK economy and offers a wealth of opportunities to 4,000 suppliers across England, Scotland, Wales and Northern Ireland. We're investing in all corners of the country, supporting 29,040 jobs in England, 3,040 in Northern Ireland, 1,900 in Scotland and 1,600 in Wales. RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. Tagged as: Industry, Language Modeling, Machine Learning, NLP, United Kingdom
Are you in your penultimate year of study and looking to work in a fast paced, global, market leading company for your industrial placement? Here at Innovative Technology, we have an excellent opportunity for a Software Engineer/ Computer Scientist (Applied Sciences) intern to join our talented team in our global head office in Oldham, Greater Manchester for 12 months starting in Summer 2026. The role Overview: As a Software Engineer Intern working in the Applied Sciences Group, you ll work closely with our experienced team of Software Engineers, Physicists and Data Scientists to support the deployment of cutting edge algorithms within ITL s hardware platforms. Here at ITL, we offer Real-world experience working on impactful projects. Guidance and mentorship from experienced professionals. Networking opportunities within the technology industry. A collaborative and dynamic work environment. Potential for a full-time role upon successful completion of the internship. This position is suited to a student in their penultimate year of University who has an eagerness to learn and to make the most of an opportunity to experience working with professionals in their chosen field. Your responsibilities: You will be working in a fast-paced environment that offers opportunities to create and to develop, our Software Engineers. You will be applying all aspects of their learning while delivering against targets and supporting and improving the efficiency and performance of our codebase and hardware platforms. As a Computer Science Intern, you will: Collaborate with the computer science team to design, develop, and test software applications. Write clean, efficient, and maintainable code for various projects. Debug and troubleshoot issues in existing systems. Participate in brainstorming sessions and contribute to the development of new ideas. Conduct research on emerging technologies and recommend their applications. Document processes, technical designs, and findings. Qualifications: An undergraduate working towards a degree in either Software Engineering, Data Science, Mathematics, Computer Science or a similar related subject. Your Skills and Experience: Strong experience of programming in Python. Basic knowledge of algorithms, data structures, and object-oriented programming Familiarity with software development methodologies (e.g., Agile, Scrum) An excellent communicator who s analytical minded with a practical approach to solving problems. Your Package and Perks A competitive salary Flexible working hours 32 days holiday, (including public Holidays) plus the opportunity to earn up to an extra 13 days holiday each year Educational Sponsorship Enhanced Pension Contribution Healthcare Insurance (including dental) Wellbeing support Life Insurance Income Protection Insurance Free secure parking Onsite electric car charging points Cycle to Work Scheme Informal dress code Paid breaks, with free premium hot drinks We re Innovative Trading for over 30 years here at Innovative Technology, where we now have offices on five continents and employ around 400 people, with over 170 based from our state-of-the-art R&D hub. From self-service checkouts to arcade machines, we provide our retail, banking, kiosk, vending, gaming and amusement customers with products and services that help them securely accept automated payments, with our industry-leading technology keeping us at the forefront of our sector. We also provide facial analysis technology for age estimation and control access for some of the world s leading companies. By being true to our values of Innovation, Collaboration, Respect and Drive we ve seen significant growth and won numerous domestic and international awards, whilst offering outstanding career opportunities and great benefits. You ll find us on the edge of the Pennines and less than half an hour from central Manchester, with modern offices, free parking and excellent transport links. We are a disability-confident employer, as such we will shortlist all candidates meeting our minimum criteria (as specified in the job description) who state they have a disability within their application. What s next? If you re looking to develop as Software Engineer/ Computer Scientist (Applied Sciences) throughout your Industrial Placement Year and want to join our award-winning team on the latest cutting-edge technology we want to hear from you. A better way Through our people, drive and commitment we push boundaries to deliver innovative products and services. Due to the high volume of applications we receive, our selection process is thorough and may take up to two months to complete. We appreciate your patience as we give every candidate's profile the attention it deserves. This is a two-part interview process, starting with a brief telephone screening followed by a formal site-based interview.
Feb 28, 2026
Full time
Are you in your penultimate year of study and looking to work in a fast paced, global, market leading company for your industrial placement? Here at Innovative Technology, we have an excellent opportunity for a Software Engineer/ Computer Scientist (Applied Sciences) intern to join our talented team in our global head office in Oldham, Greater Manchester for 12 months starting in Summer 2026. The role Overview: As a Software Engineer Intern working in the Applied Sciences Group, you ll work closely with our experienced team of Software Engineers, Physicists and Data Scientists to support the deployment of cutting edge algorithms within ITL s hardware platforms. Here at ITL, we offer Real-world experience working on impactful projects. Guidance and mentorship from experienced professionals. Networking opportunities within the technology industry. A collaborative and dynamic work environment. Potential for a full-time role upon successful completion of the internship. This position is suited to a student in their penultimate year of University who has an eagerness to learn and to make the most of an opportunity to experience working with professionals in their chosen field. Your responsibilities: You will be working in a fast-paced environment that offers opportunities to create and to develop, our Software Engineers. You will be applying all aspects of their learning while delivering against targets and supporting and improving the efficiency and performance of our codebase and hardware platforms. As a Computer Science Intern, you will: Collaborate with the computer science team to design, develop, and test software applications. Write clean, efficient, and maintainable code for various projects. Debug and troubleshoot issues in existing systems. Participate in brainstorming sessions and contribute to the development of new ideas. Conduct research on emerging technologies and recommend their applications. Document processes, technical designs, and findings. Qualifications: An undergraduate working towards a degree in either Software Engineering, Data Science, Mathematics, Computer Science or a similar related subject. Your Skills and Experience: Strong experience of programming in Python. Basic knowledge of algorithms, data structures, and object-oriented programming Familiarity with software development methodologies (e.g., Agile, Scrum) An excellent communicator who s analytical minded with a practical approach to solving problems. Your Package and Perks A competitive salary Flexible working hours 32 days holiday, (including public Holidays) plus the opportunity to earn up to an extra 13 days holiday each year Educational Sponsorship Enhanced Pension Contribution Healthcare Insurance (including dental) Wellbeing support Life Insurance Income Protection Insurance Free secure parking Onsite electric car charging points Cycle to Work Scheme Informal dress code Paid breaks, with free premium hot drinks We re Innovative Trading for over 30 years here at Innovative Technology, where we now have offices on five continents and employ around 400 people, with over 170 based from our state-of-the-art R&D hub. From self-service checkouts to arcade machines, we provide our retail, banking, kiosk, vending, gaming and amusement customers with products and services that help them securely accept automated payments, with our industry-leading technology keeping us at the forefront of our sector. We also provide facial analysis technology for age estimation and control access for some of the world s leading companies. By being true to our values of Innovation, Collaboration, Respect and Drive we ve seen significant growth and won numerous domestic and international awards, whilst offering outstanding career opportunities and great benefits. You ll find us on the edge of the Pennines and less than half an hour from central Manchester, with modern offices, free parking and excellent transport links. We are a disability-confident employer, as such we will shortlist all candidates meeting our minimum criteria (as specified in the job description) who state they have a disability within their application. What s next? If you re looking to develop as Software Engineer/ Computer Scientist (Applied Sciences) throughout your Industrial Placement Year and want to join our award-winning team on the latest cutting-edge technology we want to hear from you. A better way Through our people, drive and commitment we push boundaries to deliver innovative products and services. Due to the high volume of applications we receive, our selection process is thorough and may take up to two months to complete. We appreciate your patience as we give every candidate's profile the attention it deserves. This is a two-part interview process, starting with a brief telephone screening followed by a formal site-based interview.
About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state of the art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into impactful therapies for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential. By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. The Opportunity This is a unique opportunity for a Senior/Principal Scientist to lead and shape statistical and population genomics efforts to accelerate target identification and validation across multiple therapeutic areas. You will work with large-scale human genetics resources (e.g. biobanks and population cohorts) and apply cutting edge statistical genetics methodologies to generate actionable insights. As part of the Cross Indication team, you will operate at the interface of human genetics, computational biology, and machine learning, translating genetic evidence into target prioritisation frameworks and mechanistic hypotheses. You will play a key role in developing robust, scalable analysis pipelines and ensuring genetic insights are integrated into decision making across the organisation. Your responsibilities Lead statistical and population genomics analyses using large-scale datasets to support target discovery and validation. Design and implement statistical genetics methodologies for target prioritisation, including approaches leveraging GWAS, fine mapping, colocalisation, polygenic risk, rare variant analyses, and functional annotation. Develop scalable computational workflows for reproducible genetics analysis, enabling robust and efficient delivery across multiple programmes. Integrate human genetics evidence with multi omics datasets (e.g. transcriptomics, proteomics) to uncover disease mechanisms and prioritise actionable targets. Partner closely with experimental, translational, and ML teams to validate hypotheses, interpret findings, and guide downstream decision making. Communicate results clearly and confidently to internal stakeholders, including presenting methods, results, risks/limitations, and recommendations. Contribute to publications, scientific communications, and project documentation, supporting scientific excellence and external visibility. Professionally, you have PhD in statistical genetics, genomics, computational biology, bioinformatics, or a related quantitative field. Post PhD experience, ideally including time in an industry, biotech, or pharmaceutical environment. Deep expertise in statistical genetics and population genomics, including experience with large scale human genetic datasets and post GWAS analyses. High proficiency in Python (preferred) and R, with experience working in high performance computing environments. Ability to operate independently at a senior level, providing technical leadership and driving projects from concept through delivery. Desirable knowledge or experiences Familiarity with single cell transcriptomics or patient derived datasets. Experience working in interdisciplinary teams within biotech or pharma settings. Knowledge of machine learning techniques applied to biological data. Experience with causal inference frameworks (e.g. Mendelian randomisation) to strengthen target validation. Strong understanding of the end to end drug discovery process and how genetic evidence informs decision making. Personally, you are Inclusive leader and team player. Clear communicator. Driven by impact. Humble and hungry to learn. Motivated and curious. Impact driven and passionate about improving patient outcomes. Comfortable working in dynamic, fast paced environments. Join us in this exciting role, where your contributions will directly impact advancing our understanding of genetics and disease risk, supporting our mission to deliver transformative medicines to patients. Together, we're not just conducting research-we're setting new standards in the fields of machine learning and genetics. The patient is waiting! Relation is a committed equal opportunities employer. RECRUITMENT AGENCIES: Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs.
Feb 28, 2026
Full time
About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state of the art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into impactful therapies for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential. By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. The Opportunity This is a unique opportunity for a Senior/Principal Scientist to lead and shape statistical and population genomics efforts to accelerate target identification and validation across multiple therapeutic areas. You will work with large-scale human genetics resources (e.g. biobanks and population cohorts) and apply cutting edge statistical genetics methodologies to generate actionable insights. As part of the Cross Indication team, you will operate at the interface of human genetics, computational biology, and machine learning, translating genetic evidence into target prioritisation frameworks and mechanistic hypotheses. You will play a key role in developing robust, scalable analysis pipelines and ensuring genetic insights are integrated into decision making across the organisation. Your responsibilities Lead statistical and population genomics analyses using large-scale datasets to support target discovery and validation. Design and implement statistical genetics methodologies for target prioritisation, including approaches leveraging GWAS, fine mapping, colocalisation, polygenic risk, rare variant analyses, and functional annotation. Develop scalable computational workflows for reproducible genetics analysis, enabling robust and efficient delivery across multiple programmes. Integrate human genetics evidence with multi omics datasets (e.g. transcriptomics, proteomics) to uncover disease mechanisms and prioritise actionable targets. Partner closely with experimental, translational, and ML teams to validate hypotheses, interpret findings, and guide downstream decision making. Communicate results clearly and confidently to internal stakeholders, including presenting methods, results, risks/limitations, and recommendations. Contribute to publications, scientific communications, and project documentation, supporting scientific excellence and external visibility. Professionally, you have PhD in statistical genetics, genomics, computational biology, bioinformatics, or a related quantitative field. Post PhD experience, ideally including time in an industry, biotech, or pharmaceutical environment. Deep expertise in statistical genetics and population genomics, including experience with large scale human genetic datasets and post GWAS analyses. High proficiency in Python (preferred) and R, with experience working in high performance computing environments. Ability to operate independently at a senior level, providing technical leadership and driving projects from concept through delivery. Desirable knowledge or experiences Familiarity with single cell transcriptomics or patient derived datasets. Experience working in interdisciplinary teams within biotech or pharma settings. Knowledge of machine learning techniques applied to biological data. Experience with causal inference frameworks (e.g. Mendelian randomisation) to strengthen target validation. Strong understanding of the end to end drug discovery process and how genetic evidence informs decision making. Personally, you are Inclusive leader and team player. Clear communicator. Driven by impact. Humble and hungry to learn. Motivated and curious. Impact driven and passionate about improving patient outcomes. Comfortable working in dynamic, fast paced environments. Join us in this exciting role, where your contributions will directly impact advancing our understanding of genetics and disease risk, supporting our mission to deliver transformative medicines to patients. Together, we're not just conducting research-we're setting new standards in the fields of machine learning and genetics. The patient is waiting! Relation is a committed equal opportunities employer. RECRUITMENT AGENCIES: Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs.
AI Fellow (AI4Science), AI Initiative, Global Health Programs page is loaded AI Fellow (AI4Science), AI Initiative, Global Health Programslocations: United Kingdom, London Project Officetime type: Full timeposted on: Posted Yesterdaytime left to apply: End Date: March 9, 2026 (12 days left to apply)job requisition id: JR2427PATH current employees - please log in and applyPATH is a global nonprofit dedicated to achieving health equity. With more than 40 years of experience forging multisector partnerships and with expertise in science, economics, technology, advocacy, and dozens of other specialties, PATH develops and scales up innovative solutions to the world's most pressing heath challenges. PATH's AI Initiative is pioneering the use of generative AI and other advanced digital technologies to accelerate biomedical discovery, strengthen regulatory systems, and enhance the safety and scalability of digital healthcare.The Research Fellow will be a key member of the AI4Science team, working under the supervision of the Deputy Director (AI4Science) and the Chief AI Officer to deliver research across the team's portfolio. You will have a particular focus on a flagship programme funded by FCDO that aims to accelerate global health research through AI Co-Scientist tools. This programme includes developing a benchmarking framework for evaluating AI Co-Scientist tools, running real-world demonstration projects in areas such as mental health therapeutics, antimicrobial resistance, and malaria vector control, and establishing a secretariat to support partners in adopting AI-for-science workflows.This is a hands-on role ideal for an applied researcher (post-PhD or equivalent) who enjoys experimentation, interdisciplinary collaboration, and translating emerging AI capabilities into real scientific workflows. You will own specific workstreams within the AI4Science portfolio, from experimental design through execution and publication, while collaborating closely with senior technical leadership and external partners. You will develop and test AI-assisted scientific workflows, and contribute to the growing evidence base for how AI can accelerate biomedical discovery. You will also contribute to the wider AI4Science portfolio, including work on vaccine development and other projects as they arise. This role does not necessarily require developing new foundation models, but does require strong fluency in applying, evaluating, and orchestrating modern AI systems (including LLMs and agentic workflows) specifically for scientific research.If you're a researcher who wants to work at the cutting edge of AI and biomedical science, with the opportunity to see your work translate into real-world impact for underserved communities, this could be the role for you. Responsabilities : Contribute to and, where appropriate, lead research activities across multiple projects within the AI4Science portfolio, including: Designing, building, and iterating benchmark evaluations for AI Co-Scientist tools, covering tasks such as knowledge retrieval, reasoning, robustness, rediscovery, and adversarial testing. Supporting the delivery of real-world demonstration projects (e.g., mental health therapeutics, AMR susceptibility testing, malaria vector control), including facilitating expert workshops, running AI-assisted hypothesis generation exercises, and coordinating small-scale lab validation studies with partners. Contributing to a landscape mapping exercise to catalogue and functionally test available AI Co-Scientist tools. Practical coordination support to help FCDO partners articulate research questions, select appropriate AI tools, and execute guided research sprints. Contributing to other AI4Science projects, such as work on identifying novel correlates of protection to accelerate vaccine development using agentic AI workflows. Apply and develop quantitative research methods (e.g., experimental study design, statistical analysis) and technical AI methods (e.g., prompt engineering, agent architecture design, evaluation method development) both independently and in collaboration with partners. Contribute to the technical writing of study protocols, donor reports, peer-reviewed publications, and the publicly accessible AI4Science Playbook. Support the development and maintenance of collaborations with academic, industry, and Global South research partners. Project Support & Coordination Support the Deputy Director in ensuring the timely delivery of project outputs, including compliance with PATH and donor research ethics and data protection standards. Contribute to donor reporting and, as needed, serve as a technical point of contact for partners on specific project workstreams. Collaborate with colleagues across the AI initiative (including the Health and Regulatory Policy teams) and the wider organisation to advance cross-cutting objectives. Learning & Professional Development Stay current with the rapidly evolving AI-for-science landscape and proactively share insights with the team. Contribute to PATH's thought leadership in AI and global health, including through conference presentations, blog posts, and other external engagement. As the team grows, provide informal mentorship and technical guidance to more junior colleagues or interns. Required Skills & Experience PhD (or equivalent research experience) in a relevant subject, such as computational biology, bioinformatics, machine learning, immunology, chemistry, or a related biomedical or quantitative discipline. Demonstrable coding skills (Python preferred) sufficient to comfortably carry out independent AI research and prototyping, including experience working with large language models, AI/ML pipelines, or agentic workflows. Familiarity with, or strong interest in, one or more of the following: AI benchmarking and evaluation, natural language processing, agentic AI architectures. Experience in molecular design, drug discovery, and/or infectious disease biology is a significant plus. At least one peer-reviewed publication (or equivalent evidence of research output). A Passion for Applied Research You are motivated by research that has a real-world impact. You're excited by the idea of your work contributing to new treatments, better diagnostics, or more effective vector control - not just another paper. Rigour and Resourcefulness You can design sound experiments, handle messy data, and troubleshoot when things don't work as expected. You're comfortable working across disciplines and picking up new methods quickly. Strong Communication Skills You can explain complex technical work clearly to non-specialist audiences, write well, and collaborate effectively with researchers from diverse backgrounds and geographies. Comfort with Uncertainty The AI-for-science field is evolving fast, and this programme is deliberately exploratory. You thrive in environments where the path forward isn't always clear and you're energised (rather than daunted) by that. A Collaborative Mindset You work well as part of a small, agile team embedded in a large organisation. You're willing to support colleagues, share credit, and contribute to a positive team culture. To be selected, you must have legal authorization to work in the UK.
Feb 28, 2026
Full time
AI Fellow (AI4Science), AI Initiative, Global Health Programs page is loaded AI Fellow (AI4Science), AI Initiative, Global Health Programslocations: United Kingdom, London Project Officetime type: Full timeposted on: Posted Yesterdaytime left to apply: End Date: March 9, 2026 (12 days left to apply)job requisition id: JR2427PATH current employees - please log in and applyPATH is a global nonprofit dedicated to achieving health equity. With more than 40 years of experience forging multisector partnerships and with expertise in science, economics, technology, advocacy, and dozens of other specialties, PATH develops and scales up innovative solutions to the world's most pressing heath challenges. PATH's AI Initiative is pioneering the use of generative AI and other advanced digital technologies to accelerate biomedical discovery, strengthen regulatory systems, and enhance the safety and scalability of digital healthcare.The Research Fellow will be a key member of the AI4Science team, working under the supervision of the Deputy Director (AI4Science) and the Chief AI Officer to deliver research across the team's portfolio. You will have a particular focus on a flagship programme funded by FCDO that aims to accelerate global health research through AI Co-Scientist tools. This programme includes developing a benchmarking framework for evaluating AI Co-Scientist tools, running real-world demonstration projects in areas such as mental health therapeutics, antimicrobial resistance, and malaria vector control, and establishing a secretariat to support partners in adopting AI-for-science workflows.This is a hands-on role ideal for an applied researcher (post-PhD or equivalent) who enjoys experimentation, interdisciplinary collaboration, and translating emerging AI capabilities into real scientific workflows. You will own specific workstreams within the AI4Science portfolio, from experimental design through execution and publication, while collaborating closely with senior technical leadership and external partners. You will develop and test AI-assisted scientific workflows, and contribute to the growing evidence base for how AI can accelerate biomedical discovery. You will also contribute to the wider AI4Science portfolio, including work on vaccine development and other projects as they arise. This role does not necessarily require developing new foundation models, but does require strong fluency in applying, evaluating, and orchestrating modern AI systems (including LLMs and agentic workflows) specifically for scientific research.If you're a researcher who wants to work at the cutting edge of AI and biomedical science, with the opportunity to see your work translate into real-world impact for underserved communities, this could be the role for you. Responsabilities : Contribute to and, where appropriate, lead research activities across multiple projects within the AI4Science portfolio, including: Designing, building, and iterating benchmark evaluations for AI Co-Scientist tools, covering tasks such as knowledge retrieval, reasoning, robustness, rediscovery, and adversarial testing. Supporting the delivery of real-world demonstration projects (e.g., mental health therapeutics, AMR susceptibility testing, malaria vector control), including facilitating expert workshops, running AI-assisted hypothesis generation exercises, and coordinating small-scale lab validation studies with partners. Contributing to a landscape mapping exercise to catalogue and functionally test available AI Co-Scientist tools. Practical coordination support to help FCDO partners articulate research questions, select appropriate AI tools, and execute guided research sprints. Contributing to other AI4Science projects, such as work on identifying novel correlates of protection to accelerate vaccine development using agentic AI workflows. Apply and develop quantitative research methods (e.g., experimental study design, statistical analysis) and technical AI methods (e.g., prompt engineering, agent architecture design, evaluation method development) both independently and in collaboration with partners. Contribute to the technical writing of study protocols, donor reports, peer-reviewed publications, and the publicly accessible AI4Science Playbook. Support the development and maintenance of collaborations with academic, industry, and Global South research partners. Project Support & Coordination Support the Deputy Director in ensuring the timely delivery of project outputs, including compliance with PATH and donor research ethics and data protection standards. Contribute to donor reporting and, as needed, serve as a technical point of contact for partners on specific project workstreams. Collaborate with colleagues across the AI initiative (including the Health and Regulatory Policy teams) and the wider organisation to advance cross-cutting objectives. Learning & Professional Development Stay current with the rapidly evolving AI-for-science landscape and proactively share insights with the team. Contribute to PATH's thought leadership in AI and global health, including through conference presentations, blog posts, and other external engagement. As the team grows, provide informal mentorship and technical guidance to more junior colleagues or interns. Required Skills & Experience PhD (or equivalent research experience) in a relevant subject, such as computational biology, bioinformatics, machine learning, immunology, chemistry, or a related biomedical or quantitative discipline. Demonstrable coding skills (Python preferred) sufficient to comfortably carry out independent AI research and prototyping, including experience working with large language models, AI/ML pipelines, or agentic workflows. Familiarity with, or strong interest in, one or more of the following: AI benchmarking and evaluation, natural language processing, agentic AI architectures. Experience in molecular design, drug discovery, and/or infectious disease biology is a significant plus. At least one peer-reviewed publication (or equivalent evidence of research output). A Passion for Applied Research You are motivated by research that has a real-world impact. You're excited by the idea of your work contributing to new treatments, better diagnostics, or more effective vector control - not just another paper. Rigour and Resourcefulness You can design sound experiments, handle messy data, and troubleshoot when things don't work as expected. You're comfortable working across disciplines and picking up new methods quickly. Strong Communication Skills You can explain complex technical work clearly to non-specialist audiences, write well, and collaborate effectively with researchers from diverse backgrounds and geographies. Comfort with Uncertainty The AI-for-science field is evolving fast, and this programme is deliberately exploratory. You thrive in environments where the path forward isn't always clear and you're energised (rather than daunted) by that. A Collaborative Mindset You work well as part of a small, agile team embedded in a large organisation. You're willing to support colleagues, share credit, and contribute to a positive team culture. To be selected, you must have legal authorization to work in the UK.
Business Intelligence Analyst (AI, Cloud, Connectivity Ecosystem) LONDON, United Kingdom (On-site) Trending Job Info Job Identification 7287 Job Category Investments Job Schedule Full time Job Description Your role This role is for an analytics professional who can operate with a level of autonomy to identify, access, and interrogate data sources that others might overlook. You will be responsible for proactively discovering correlations, patterns, and strategic insights that inform executive decision making across our global operations. Rather than simply responding to data requests, you will anticipate business needs, design your own analytical frameworks, and drive data driven narratives that shape our market strategy. Proactively identify and evaluate new internal and external data sources that could provide competitive intelligence or operational insights Design and implement data collection strategies from diverse sources including market databases, public datasets, partner systems, operational platforms, and industry sources Build a comprehensive understanding of our data ecosystem and continuously expand analytical capabilities Employ cutting edge analytical tools and techniques (Python, R, SQL, machine learning frameworks) to extract insights from structured and unstructured data Develop custom analytical models and algorithms tailored to specific business questions Transform complex analytical findings into compelling narratives that drive executive decision making Identify correlations and causal relationships that reveal strategic opportunities in market positioning, customer behavior, or operational efficiency Determine the most appropriate methodologies and tools for each analytical challenge Create interactive dashboards and visualizations using advanced tools (Tableau, Power BI, custom Python/R visualizations) Present findings with confidence, translating technical complexity into business impact What you'll need Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Applied Mathematics, Economics, or related quantitative field 3 5 years of professional experience in data analytics, business intelligence, or related analytical roles Demonstrated track record of independently driving analytical projects that influenced business outcomes Advanced programming skills in Python or R, including libraries for data analysis (pandas, NumPy, scikit learn, tidyverse, etc.) Soft Skills: Strong intuition for identifying which data sources and metrics will yield meaningful insights Excellent written communication skills for creating executive ready reports and presentations Confidence in presenting About Us A bit about us Digital Realty brings companies and data together by delivering the full spectrum of data center, colocation and interconnection solutions. PlatformDIGITAL , the company's global data center platform, provides customers with a secure data meeting place and a proven Pervasive Datacenter Architecture (PDx ) solution methodology for powering innovation and efficiently managing Data Gravity challenges. Digital Realty gives its customers access to the connected data communities that matter to them with a global data center footprint of 300+ facilities in 50+ metros across 25+ countries on six continents. To learn more about Digital Realty, please visit or follow us on LinkedIn and Twitter. Our rapidly evolving business sector offers the opportunity to be part of a courageous and passionate team who work together to understand and meet the changing needs of our global customers. Join us and you'll be part of a supportive and inclusive environment where you can bring your whole self to work. As part of our team, you'll get to work with people from different business areas, challenge the way we do things and put your ideas into action. We'll also give you plenty of development opportunities so you can build a rewarding and successful career with us. This is an exciting time to join our business so apply now and make your mark on our future. Safely powering progress Safety isn't just a priority here at Digital; it's critical to everything we do. Safeguarding lives, protecting assets, and securing data aren't just ideals - they're essential pillars of our commitment to excellence for our people, our partners and our customers. We have a culture of care where every member of Team Digital embraces a relentless pursuit of working safely across Digital Realty. Together we are Safely Powering Progress. NOTES: The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. Digital Realty is an equal opportunity employer, EOE/AA/M/F/Vets/Disabled. All applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability or protected veteran status, or other status protected by law or Company policy. Digital Realty is a publicly traded company (NYSE: DLR) with investment grade ratings from all three major ratings agencies. Please do not forward unsolicited resumes to any employee of Digital Realty and its subsidiaries. Digital Realty is not responsible for any fees related to unsolicited referrals.
Feb 28, 2026
Full time
Business Intelligence Analyst (AI, Cloud, Connectivity Ecosystem) LONDON, United Kingdom (On-site) Trending Job Info Job Identification 7287 Job Category Investments Job Schedule Full time Job Description Your role This role is for an analytics professional who can operate with a level of autonomy to identify, access, and interrogate data sources that others might overlook. You will be responsible for proactively discovering correlations, patterns, and strategic insights that inform executive decision making across our global operations. Rather than simply responding to data requests, you will anticipate business needs, design your own analytical frameworks, and drive data driven narratives that shape our market strategy. Proactively identify and evaluate new internal and external data sources that could provide competitive intelligence or operational insights Design and implement data collection strategies from diverse sources including market databases, public datasets, partner systems, operational platforms, and industry sources Build a comprehensive understanding of our data ecosystem and continuously expand analytical capabilities Employ cutting edge analytical tools and techniques (Python, R, SQL, machine learning frameworks) to extract insights from structured and unstructured data Develop custom analytical models and algorithms tailored to specific business questions Transform complex analytical findings into compelling narratives that drive executive decision making Identify correlations and causal relationships that reveal strategic opportunities in market positioning, customer behavior, or operational efficiency Determine the most appropriate methodologies and tools for each analytical challenge Create interactive dashboards and visualizations using advanced tools (Tableau, Power BI, custom Python/R visualizations) Present findings with confidence, translating technical complexity into business impact What you'll need Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Applied Mathematics, Economics, or related quantitative field 3 5 years of professional experience in data analytics, business intelligence, or related analytical roles Demonstrated track record of independently driving analytical projects that influenced business outcomes Advanced programming skills in Python or R, including libraries for data analysis (pandas, NumPy, scikit learn, tidyverse, etc.) Soft Skills: Strong intuition for identifying which data sources and metrics will yield meaningful insights Excellent written communication skills for creating executive ready reports and presentations Confidence in presenting About Us A bit about us Digital Realty brings companies and data together by delivering the full spectrum of data center, colocation and interconnection solutions. PlatformDIGITAL , the company's global data center platform, provides customers with a secure data meeting place and a proven Pervasive Datacenter Architecture (PDx ) solution methodology for powering innovation and efficiently managing Data Gravity challenges. Digital Realty gives its customers access to the connected data communities that matter to them with a global data center footprint of 300+ facilities in 50+ metros across 25+ countries on six continents. To learn more about Digital Realty, please visit or follow us on LinkedIn and Twitter. Our rapidly evolving business sector offers the opportunity to be part of a courageous and passionate team who work together to understand and meet the changing needs of our global customers. Join us and you'll be part of a supportive and inclusive environment where you can bring your whole self to work. As part of our team, you'll get to work with people from different business areas, challenge the way we do things and put your ideas into action. We'll also give you plenty of development opportunities so you can build a rewarding and successful career with us. This is an exciting time to join our business so apply now and make your mark on our future. Safely powering progress Safety isn't just a priority here at Digital; it's critical to everything we do. Safeguarding lives, protecting assets, and securing data aren't just ideals - they're essential pillars of our commitment to excellence for our people, our partners and our customers. We have a culture of care where every member of Team Digital embraces a relentless pursuit of working safely across Digital Realty. Together we are Safely Powering Progress. NOTES: The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. Digital Realty is an equal opportunity employer, EOE/AA/M/F/Vets/Disabled. All applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability or protected veteran status, or other status protected by law or Company policy. Digital Realty is a publicly traded company (NYSE: DLR) with investment grade ratings from all three major ratings agencies. Please do not forward unsolicited resumes to any employee of Digital Realty and its subsidiaries. Digital Realty is not responsible for any fees related to unsolicited referrals.
Business Intelligence Analyst (AI, Cloud, Connectivity Ecosystem) LONDON, United Kingdom (On-site) Trending Job Info Job Identification 7287 Job Category Investments Job Schedule Full time Job Description Your role This role is for an analytics professional who can operate with a level of autonomy to identify, access, and interrogate data sources that others might overlook. You will be responsible for proactively discovering correlations, patterns, and strategic insights that inform executive decision making across our global operations. Rather than simply responding to data requests, you will anticipate business needs, design your own analytical frameworks, and drive data driven narratives that shape our market strategy. Proactively identify and evaluate new internal and external data sources that could provide competitive intelligence or operational insights Design and implement data collection strategies from diverse sources including market databases, public datasets, partner systems, operational platforms, and industry sources Build a comprehensive understanding of our data ecosystem and continuously expand analytical capabilities Employ cutting edge analytical tools and techniques (Python, R, SQL, machine learning frameworks) to extract insights from structured and unstructured data Develop custom analytical models and algorithms tailored to specific business questions Transform complex analytical findings into compelling narratives that drive executive decision making Identify correlations and causal relationships that reveal strategic opportunities in market positioning, customer behavior, or operational efficiency Determine the most appropriate methodologies and tools for each analytical challenge Create interactive dashboards and visualizations using advanced tools (Tableau, Power BI, custom Python/R visualizations) Present findings with confidence, translating technical complexity into business impact What you'll need Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Applied Mathematics, Economics, or related quantitative field 3 5 years of professional experience in data analytics, business intelligence, or related analytical roles Demonstrated track record of independently driving analytical projects that influenced business outcomes Advanced programming skills in Python or R, including libraries for data analysis (pandas, NumPy, scikit learn, tidyverse, etc.) Soft Skills: Strong intuition for identifying which data sources and metrics will yield meaningful insights Excellent written communication skills for creating executive ready reports and presentations Confidence in presenting About Us A bit about us Digital Realty brings companies and data together by delivering the full spectrum of data center, colocation and interconnection solutions. PlatformDIGITAL , the company's global data center platform, provides customers with a secure data meeting place and a proven Pervasive Datacenter Architecture (PDx ) solution methodology for powering innovation and efficiently managing Data Gravity challenges. Digital Realty gives its customers access to the connected data communities that matter to them with a global data center footprint of 300+ facilities in 50+ metros across 25+ countries on six continents. To learn more about Digital Realty, please visit or follow us on LinkedIn and Twitter. Our rapidly evolving business sector offers the opportunity to be part of a courageous and passionate team who work together to understand and meet the changing needs of our global customers. Join us and you'll be part of a supportive and inclusive environment where you can bring your whole self to work. As part of our team, you'll get to work with people from different business areas, challenge the way we do things and put your ideas into action. We'll also give you plenty of development opportunities so you can build a rewarding and successful career with us. This is an exciting time to join our business so apply now and make your mark on our future. Safely powering progress Safety isn't just a priority here at Digital; it's critical to everything we do. Safeguarding lives, protecting assets, and securing data aren't just ideals - they're essential pillars of our commitment to excellence for our people, our partners and our customers. We have a culture of care where every member of Team Digital embraces a relentless pursuit of working safely across Digital Realty. Together we are Safely Powering Progress. NOTES: The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. Digital Realty is an equal opportunity employer, EOE/AA/M/F/Vets/Disabled. All applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability or protected veteran status, or other status protected by law or Company policy. Digital Realty is a publicly traded company (NYSE: DLR) with investment grade ratings from all three major ratings agencies. Please do not forward unsolicited resumes to any employee of Digital Realty and its subsidiaries. Digital Realty is not responsible for any fees related to unsolicited referrals.
Feb 28, 2026
Full time
Business Intelligence Analyst (AI, Cloud, Connectivity Ecosystem) LONDON, United Kingdom (On-site) Trending Job Info Job Identification 7287 Job Category Investments Job Schedule Full time Job Description Your role This role is for an analytics professional who can operate with a level of autonomy to identify, access, and interrogate data sources that others might overlook. You will be responsible for proactively discovering correlations, patterns, and strategic insights that inform executive decision making across our global operations. Rather than simply responding to data requests, you will anticipate business needs, design your own analytical frameworks, and drive data driven narratives that shape our market strategy. Proactively identify and evaluate new internal and external data sources that could provide competitive intelligence or operational insights Design and implement data collection strategies from diverse sources including market databases, public datasets, partner systems, operational platforms, and industry sources Build a comprehensive understanding of our data ecosystem and continuously expand analytical capabilities Employ cutting edge analytical tools and techniques (Python, R, SQL, machine learning frameworks) to extract insights from structured and unstructured data Develop custom analytical models and algorithms tailored to specific business questions Transform complex analytical findings into compelling narratives that drive executive decision making Identify correlations and causal relationships that reveal strategic opportunities in market positioning, customer behavior, or operational efficiency Determine the most appropriate methodologies and tools for each analytical challenge Create interactive dashboards and visualizations using advanced tools (Tableau, Power BI, custom Python/R visualizations) Present findings with confidence, translating technical complexity into business impact What you'll need Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Applied Mathematics, Economics, or related quantitative field 3 5 years of professional experience in data analytics, business intelligence, or related analytical roles Demonstrated track record of independently driving analytical projects that influenced business outcomes Advanced programming skills in Python or R, including libraries for data analysis (pandas, NumPy, scikit learn, tidyverse, etc.) Soft Skills: Strong intuition for identifying which data sources and metrics will yield meaningful insights Excellent written communication skills for creating executive ready reports and presentations Confidence in presenting About Us A bit about us Digital Realty brings companies and data together by delivering the full spectrum of data center, colocation and interconnection solutions. PlatformDIGITAL , the company's global data center platform, provides customers with a secure data meeting place and a proven Pervasive Datacenter Architecture (PDx ) solution methodology for powering innovation and efficiently managing Data Gravity challenges. Digital Realty gives its customers access to the connected data communities that matter to them with a global data center footprint of 300+ facilities in 50+ metros across 25+ countries on six continents. To learn more about Digital Realty, please visit or follow us on LinkedIn and Twitter. Our rapidly evolving business sector offers the opportunity to be part of a courageous and passionate team who work together to understand and meet the changing needs of our global customers. Join us and you'll be part of a supportive and inclusive environment where you can bring your whole self to work. As part of our team, you'll get to work with people from different business areas, challenge the way we do things and put your ideas into action. We'll also give you plenty of development opportunities so you can build a rewarding and successful career with us. This is an exciting time to join our business so apply now and make your mark on our future. Safely powering progress Safety isn't just a priority here at Digital; it's critical to everything we do. Safeguarding lives, protecting assets, and securing data aren't just ideals - they're essential pillars of our commitment to excellence for our people, our partners and our customers. We have a culture of care where every member of Team Digital embraces a relentless pursuit of working safely across Digital Realty. Together we are Safely Powering Progress. NOTES: The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. Digital Realty is an equal opportunity employer, EOE/AA/M/F/Vets/Disabled. All applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability or protected veteran status, or other status protected by law or Company policy. Digital Realty is a publicly traded company (NYSE: DLR) with investment grade ratings from all three major ratings agencies. Please do not forward unsolicited resumes to any employee of Digital Realty and its subsidiaries. Digital Realty is not responsible for any fees related to unsolicited referrals.
Introduction Echo Labs is building the scientific, and technical foundation for ecological intelligence: a multimodal system to measure, model, and forecast Ecosystem Condition as a dynamic property. We are a collaborative and interdisciplinary team of scientists and engineers engaged in a planetary moonshot - with a public good mission, operating like a start up. We are a new Focused Research Organization (FRO) supported by Convergent Research and funded by the Advanced Research and Invention Agency to pursue high-risk, high-reward science in the public interest. About this role The Chief Science Officer (CSO) anchors this effort in scientific rigour, ecological credibility, and long-term legitimacy and plays a decisive role in ensuring that this infrastructure is scientifically sound and transformative. The CSO is responsible for ensuring that Echo's data, models, and interpretations faithfully reflect state-of-the-art ecological science while enabling bold, operational innovation. This role bridges fundamental ecology, field methods, and applied modelling, translating ecological theory into scalable, decision-grade infrastructure. This is a high-leverage role: you'll lead Echo's ecology vertical and relationship with the ecology community. The CSO reports to the CEO and works in close partnership with the Chief Technology Officer and Director of Product & Partnerships as a core member of Echo's executive leadership team. Core Responsibilities Conceptual Framework: Own and continuously refine Echo's scientific framing of Ecosystem Condition, grounded in ECT+/SEEA typologies and current ecological theory. Ensure scientific defensibility, interpretability, and transparency of Echo's outputs for the academic community, policymakers, and external partners. Set standards for scientific validation, benchmarking, and uncertainty characterisation across the programme. Data Strategy and Analytical Direction: Lead the identification, evaluation, and strategic use of existing ecological and Earth-observation datasets, determining when external data can accelerate progress versus when new data generation is essential. Set the analytical direction for how existing datasets are integrated, stress tested, or rejected, including defining appropriate benchmarks, comparators, and limitations. Guide early in silico analyses to inform sampling design, modelling priorities, and go/no go decisions, ensuring resources are focused on data and approaches with the highest scientific leverage. Establish criteria for reuse, interoperability, and alignment of legacy datasets with Echo's Ecosystem Condition framework, avoiding dependence on datasets that are ecologically misaligned or methodologically brittle. Ecological Data Generation: Lead scientific oversight of Echo's sampling architecture, ensuring ecological sensitivity and robustness. Guide methodological choices across in situ data streams (eDNA, acoustics, vegetation structure, soil health, hydrology, etc.). Oversee ecological QA/QC, signal separability testing, and temporal sensitivity to disturbance and recovery. Modelling Integration and Ecological Interpretability: Work hand in hand with the CTO and ML leads to ensure ecological meaning is preserved in latent representations ("ecosystem fingerprints") and predictive models. Validate that modelling choices align with ecological processes, scales, and constraints rather than spurious correlations. Champion explainability and ecological interpretability of model outputs. Scientific Leadership, Governance and External Engagement: Act as Echo's senior scientific representative to the ecological research community. Build trust and adoption through workshops, advisory engagement, and transparent publication of methods, data, and results. Shape Echo's contribution to emerging standards in ecological monitoring, modelling, and data governance. Interface with the Science Advisory Board, translating feedback into operational scientific decisions. Progression. In six months you will have Established an internal scientific definition of Ecosystem Condition, aligned with ECT+/SEEA and explicitly scoped to what Echo will and will not measure. Audited existing ecological data to identify usable signals, inferable dynamics, and critical gaps, guiding early go/no go decisions on new data collection. Set clear priorities for early models and metrics, focusing on a small number of high leverage downstream tasks rather than solving everything at once. Designed an initial metric and model architecture, including decisions on single vs. multi layer representations and a strategy for ecological interpretability. Led internal and external scientific workshops to align sampling, modelling, and core scientific questions, resulting in shared buy in and a v1 sampling design. Produced foundational scientific artifacts, including a v1 Ecosystem Condition framework, data to signal mapping, interpretability plan, and a scientific risk register. Profile (You Are) PhD (or equivalent) in ecology, ecosystem science, environmental science, or a closely related field. Deep understanding of ecosystem functioning, resilience, or biodiversity dynamics, ideally across multiple spatial scales. Familiarity with ecological modelling, including interaction with machine learning. Strong basis in advanced statistical methods. Proven background in rigorous experimental design. Demonstrated experience designing, interpreting, or overseeing field based ecological data collection. Track record of interdisciplinary collaboration across ecology, data science, and engineering. Exceptional scientific judgement and communication skills, with the ability to translate complexity into clarity. Highly organised and outcome focused, with experience structuring workplans, prioritising trade offs, and driving progress across interdisciplinary teams under time and resource constraints. Highly Valued Experience Experience working with multimodal ecological datasets (e.g. combining field data with Earth observation). Prior involvement in large scale or national ecological monitoring programmes. Experience engaging with policy, regulatory, or applied decision making contexts. Familiarity with FAIR + CARE data principles or ecological data governance. Leadership roles in collaborative or mission driven research initiatives. Demonstrated ability to translate scientific vision into delivered products or platforms, with experience taking complex research programmes from concept through execution against clear timelines and milestones. Track record of operating in delivery oriented environments (e.g. research infrastructure builds, applied science programmes, or mission driven organisations) where scientific ambition is matched with disciplined execution. Outro We're bringing together top talent from academia, industry, and startups to build a new model for innovative R&D. We are committed to creating an inclusive and diverse workplace where everyone has the opportunity to thrive. We believe in hiring individuals based on their unique talents-not on race, color, religion, ethnicity, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other characteristic protected by law or our company policies. We are more than a proud Equal Employment Opportunity employer. Our goal is to foster a healthy, safe, and respectful environment where all employees are valued and treated with dignity.
Feb 27, 2026
Full time
Introduction Echo Labs is building the scientific, and technical foundation for ecological intelligence: a multimodal system to measure, model, and forecast Ecosystem Condition as a dynamic property. We are a collaborative and interdisciplinary team of scientists and engineers engaged in a planetary moonshot - with a public good mission, operating like a start up. We are a new Focused Research Organization (FRO) supported by Convergent Research and funded by the Advanced Research and Invention Agency to pursue high-risk, high-reward science in the public interest. About this role The Chief Science Officer (CSO) anchors this effort in scientific rigour, ecological credibility, and long-term legitimacy and plays a decisive role in ensuring that this infrastructure is scientifically sound and transformative. The CSO is responsible for ensuring that Echo's data, models, and interpretations faithfully reflect state-of-the-art ecological science while enabling bold, operational innovation. This role bridges fundamental ecology, field methods, and applied modelling, translating ecological theory into scalable, decision-grade infrastructure. This is a high-leverage role: you'll lead Echo's ecology vertical and relationship with the ecology community. The CSO reports to the CEO and works in close partnership with the Chief Technology Officer and Director of Product & Partnerships as a core member of Echo's executive leadership team. Core Responsibilities Conceptual Framework: Own and continuously refine Echo's scientific framing of Ecosystem Condition, grounded in ECT+/SEEA typologies and current ecological theory. Ensure scientific defensibility, interpretability, and transparency of Echo's outputs for the academic community, policymakers, and external partners. Set standards for scientific validation, benchmarking, and uncertainty characterisation across the programme. Data Strategy and Analytical Direction: Lead the identification, evaluation, and strategic use of existing ecological and Earth-observation datasets, determining when external data can accelerate progress versus when new data generation is essential. Set the analytical direction for how existing datasets are integrated, stress tested, or rejected, including defining appropriate benchmarks, comparators, and limitations. Guide early in silico analyses to inform sampling design, modelling priorities, and go/no go decisions, ensuring resources are focused on data and approaches with the highest scientific leverage. Establish criteria for reuse, interoperability, and alignment of legacy datasets with Echo's Ecosystem Condition framework, avoiding dependence on datasets that are ecologically misaligned or methodologically brittle. Ecological Data Generation: Lead scientific oversight of Echo's sampling architecture, ensuring ecological sensitivity and robustness. Guide methodological choices across in situ data streams (eDNA, acoustics, vegetation structure, soil health, hydrology, etc.). Oversee ecological QA/QC, signal separability testing, and temporal sensitivity to disturbance and recovery. Modelling Integration and Ecological Interpretability: Work hand in hand with the CTO and ML leads to ensure ecological meaning is preserved in latent representations ("ecosystem fingerprints") and predictive models. Validate that modelling choices align with ecological processes, scales, and constraints rather than spurious correlations. Champion explainability and ecological interpretability of model outputs. Scientific Leadership, Governance and External Engagement: Act as Echo's senior scientific representative to the ecological research community. Build trust and adoption through workshops, advisory engagement, and transparent publication of methods, data, and results. Shape Echo's contribution to emerging standards in ecological monitoring, modelling, and data governance. Interface with the Science Advisory Board, translating feedback into operational scientific decisions. Progression. In six months you will have Established an internal scientific definition of Ecosystem Condition, aligned with ECT+/SEEA and explicitly scoped to what Echo will and will not measure. Audited existing ecological data to identify usable signals, inferable dynamics, and critical gaps, guiding early go/no go decisions on new data collection. Set clear priorities for early models and metrics, focusing on a small number of high leverage downstream tasks rather than solving everything at once. Designed an initial metric and model architecture, including decisions on single vs. multi layer representations and a strategy for ecological interpretability. Led internal and external scientific workshops to align sampling, modelling, and core scientific questions, resulting in shared buy in and a v1 sampling design. Produced foundational scientific artifacts, including a v1 Ecosystem Condition framework, data to signal mapping, interpretability plan, and a scientific risk register. Profile (You Are) PhD (or equivalent) in ecology, ecosystem science, environmental science, or a closely related field. Deep understanding of ecosystem functioning, resilience, or biodiversity dynamics, ideally across multiple spatial scales. Familiarity with ecological modelling, including interaction with machine learning. Strong basis in advanced statistical methods. Proven background in rigorous experimental design. Demonstrated experience designing, interpreting, or overseeing field based ecological data collection. Track record of interdisciplinary collaboration across ecology, data science, and engineering. Exceptional scientific judgement and communication skills, with the ability to translate complexity into clarity. Highly organised and outcome focused, with experience structuring workplans, prioritising trade offs, and driving progress across interdisciplinary teams under time and resource constraints. Highly Valued Experience Experience working with multimodal ecological datasets (e.g. combining field data with Earth observation). Prior involvement in large scale or national ecological monitoring programmes. Experience engaging with policy, regulatory, or applied decision making contexts. Familiarity with FAIR + CARE data principles or ecological data governance. Leadership roles in collaborative or mission driven research initiatives. Demonstrated ability to translate scientific vision into delivered products or platforms, with experience taking complex research programmes from concept through execution against clear timelines and milestones. Track record of operating in delivery oriented environments (e.g. research infrastructure builds, applied science programmes, or mission driven organisations) where scientific ambition is matched with disciplined execution. Outro We're bringing together top talent from academia, industry, and startups to build a new model for innovative R&D. We are committed to creating an inclusive and diverse workplace where everyone has the opportunity to thrive. We believe in hiring individuals based on their unique talents-not on race, color, religion, ethnicity, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other characteristic protected by law or our company policies. We are more than a proud Equal Employment Opportunity employer. Our goal is to foster a healthy, safe, and respectful environment where all employees are valued and treated with dignity.
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role Capgemini Invent is the digital innovation, design and transformation arm of the Capgemini Group that helps CXOs envision and shape the future of their organisations. Within Invent, the Enterprise Data Analytics (EDA) team specialises in delivering analytical solutions and advisory services that help major private and public sector clients unlock value using data and artificial intelligence. As a Managing Consultant - Asset Analytics within EDA, your work will involve proposing and developing analytical and AI-enabled solutions that result into actionable insights to improve performance, reliability, cost efficiency, and risk management. You will collaborate with engineering, operations, and business teams to translate strategic objectives into validated solutions that support both day-to-day decision-making and long-term planning in asset-, infrastructure-, and process-heavy industries such as Aerospace & Defence, Manufacturing, Energy or Transport. This role involves working closely with clients and internal stakeholders to translate complex process and operational challenges into robust solutions that drive measurable impact. As a valued Managing Consultant in our Operational Analytics team, you will be involved in creating compelling offers and propositions, building capability and delivering projects on client side against the following areas: Lead a project workstream or a small project, ensuring delivery quality and alignment with client objectives. Work directly with clients to providing industry-leading advice and solutions, leveraging the latest Generative AI and Agentic AI technologies to drive real transformational change Translate technical outputs into clear business insights, supporting proposals and client presentations. Engage with client stakeholders to gather requirements and communicate progress effectively. Contribute to business development, including drafting proposals and identifying opportunities for value creation. Support internal capability building, through mentoring, developing reusable frameworks, and sharing best practices. Your ideas matter. We're looking for dynamic individuals with the vision and energy to drive meaningful change for our clients and within our organisation. In addition to your client-side role, you will take ownership of projects in the following areas: Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offer development. Learning & development - Build team capability by offering development opportunities that strengthen professional growth and prepare the team for future skill demands. Training to support your career development and meet evolving skill demands within the company. Your Profile You should have a skillset that combines rigorous thinking, creativity, and thoughtful leadership. Below are some of the key skills and experiences we look for. We don't expect every candidate to meet all of these criteria - we're building a diverse team with a broad range of strengths, backgrounds, and experiences. We look for individuals who bring experience in some of the following areas: Multi paradigm simulation (discrete event simulation, agent-based simulation, system dynamics) for complex systems. V&V including parameter tuning, sensitivity, and uncertainty checks. Scenario testing for bottlenecks, capacity, resilience, and policy impacts. Digital twins using live data, telemetry, and event streams for forecasting. Operationalising models with versioning, reproducibility, and governance. ILP/MIP formulation, decomposition, and solver-based optimisation. Scheduling and resource allocation across workforce, maintenance, and logistics. Robust/stochastic optimisation with scenario generation and risk aware decisions. Network and flow optimisation for supply chain, routing, and capacity planning. Leveraging AI methods to inform optimisation heuristics, demand forecasts, and dynamic decision support Machine Learning, Data Science & Applied AI Anomaly detection using statistical, ML, and hybrid methods for fault and quality monitoring. RUL estimation and predictive maintenance via survival, failure time, and degradation models. Time series forecasting and causal analysis for demand, load, reliability, and performance. Developing and applying AI models to support predictive insights, automation opportunities, and operational decision making. We're seeking candidates who demonstrate the following skills and experience: Bachelor's or Master's degree in Engineering, Operations Research, Computer Science, Applied Mathematics, or a related field. Hands on experience with simulation modelling techniques (discrete event simulation, agent-based simulation, system dynamics) and translating operational systems into models. Strong programming proficiency in Python (or similar languages) for data manipulation, automation, integration and working with AI/ML libraries. Demonstrated proficiency in at least one of the following: Machine Learning, Data Science and applied AI techniques Solid grasp of statistical analysis, experimental design, and data visualisation. Experience applying AI or advanced analytics in operational or asset intensive environments. Ability to communicate complex technical concepts clearly to non-technical stakeholders. Hold SC or be SC eligible (Security Clearance). What You'll Love About Working Here We're here to help you build a fulfilling and sustainable career. That's why we invest in: Hybrid working options and a culture that values work-life integration. Structured career progression, leadership programs and hands on mentorship to ensure you become a better consultant on your own terms. A team oriented environment where collaboration is valued above competition and where success is shared. Training to keep our people at the forefront of data innovation. Need To Know At Capgemini we don't just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy. CSR: We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing. Whilst you will have an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. When you join Capgemini, you don't just start a new job. You become part of something bigger. Learn about how the recruitment process works - how to apply, where to follow your application, and next steps. To help you bring out the best of yourself during the interview process, we've got some great interview tips to share before the big day.
Feb 24, 2026
Full time
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role Capgemini Invent is the digital innovation, design and transformation arm of the Capgemini Group that helps CXOs envision and shape the future of their organisations. Within Invent, the Enterprise Data Analytics (EDA) team specialises in delivering analytical solutions and advisory services that help major private and public sector clients unlock value using data and artificial intelligence. As a Managing Consultant - Asset Analytics within EDA, your work will involve proposing and developing analytical and AI-enabled solutions that result into actionable insights to improve performance, reliability, cost efficiency, and risk management. You will collaborate with engineering, operations, and business teams to translate strategic objectives into validated solutions that support both day-to-day decision-making and long-term planning in asset-, infrastructure-, and process-heavy industries such as Aerospace & Defence, Manufacturing, Energy or Transport. This role involves working closely with clients and internal stakeholders to translate complex process and operational challenges into robust solutions that drive measurable impact. As a valued Managing Consultant in our Operational Analytics team, you will be involved in creating compelling offers and propositions, building capability and delivering projects on client side against the following areas: Lead a project workstream or a small project, ensuring delivery quality and alignment with client objectives. Work directly with clients to providing industry-leading advice and solutions, leveraging the latest Generative AI and Agentic AI technologies to drive real transformational change Translate technical outputs into clear business insights, supporting proposals and client presentations. Engage with client stakeholders to gather requirements and communicate progress effectively. Contribute to business development, including drafting proposals and identifying opportunities for value creation. Support internal capability building, through mentoring, developing reusable frameworks, and sharing best practices. Your ideas matter. We're looking for dynamic individuals with the vision and energy to drive meaningful change for our clients and within our organisation. In addition to your client-side role, you will take ownership of projects in the following areas: Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offer development. Learning & development - Build team capability by offering development opportunities that strengthen professional growth and prepare the team for future skill demands. Training to support your career development and meet evolving skill demands within the company. Your Profile You should have a skillset that combines rigorous thinking, creativity, and thoughtful leadership. Below are some of the key skills and experiences we look for. We don't expect every candidate to meet all of these criteria - we're building a diverse team with a broad range of strengths, backgrounds, and experiences. We look for individuals who bring experience in some of the following areas: Multi paradigm simulation (discrete event simulation, agent-based simulation, system dynamics) for complex systems. V&V including parameter tuning, sensitivity, and uncertainty checks. Scenario testing for bottlenecks, capacity, resilience, and policy impacts. Digital twins using live data, telemetry, and event streams for forecasting. Operationalising models with versioning, reproducibility, and governance. ILP/MIP formulation, decomposition, and solver-based optimisation. Scheduling and resource allocation across workforce, maintenance, and logistics. Robust/stochastic optimisation with scenario generation and risk aware decisions. Network and flow optimisation for supply chain, routing, and capacity planning. Leveraging AI methods to inform optimisation heuristics, demand forecasts, and dynamic decision support Machine Learning, Data Science & Applied AI Anomaly detection using statistical, ML, and hybrid methods for fault and quality monitoring. RUL estimation and predictive maintenance via survival, failure time, and degradation models. Time series forecasting and causal analysis for demand, load, reliability, and performance. Developing and applying AI models to support predictive insights, automation opportunities, and operational decision making. We're seeking candidates who demonstrate the following skills and experience: Bachelor's or Master's degree in Engineering, Operations Research, Computer Science, Applied Mathematics, or a related field. Hands on experience with simulation modelling techniques (discrete event simulation, agent-based simulation, system dynamics) and translating operational systems into models. Strong programming proficiency in Python (or similar languages) for data manipulation, automation, integration and working with AI/ML libraries. Demonstrated proficiency in at least one of the following: Machine Learning, Data Science and applied AI techniques Solid grasp of statistical analysis, experimental design, and data visualisation. Experience applying AI or advanced analytics in operational or asset intensive environments. Ability to communicate complex technical concepts clearly to non-technical stakeholders. Hold SC or be SC eligible (Security Clearance). What You'll Love About Working Here We're here to help you build a fulfilling and sustainable career. That's why we invest in: Hybrid working options and a culture that values work-life integration. Structured career progression, leadership programs and hands on mentorship to ensure you become a better consultant on your own terms. A team oriented environment where collaboration is valued above competition and where success is shared. Training to keep our people at the forefront of data innovation. Need To Know At Capgemini we don't just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy. CSR: We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing. Whilst you will have an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. When you join Capgemini, you don't just start a new job. You become part of something bigger. Learn about how the recruitment process works - how to apply, where to follow your application, and next steps. To help you bring out the best of yourself during the interview process, we've got some great interview tips to share before the big day.
About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state of the art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into impactful therapies for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential. By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. The opportunity We are seeking a Principal Data Scientist, Computational Biology to join Relation, working at the intersection of single cell biology, spatial omics, and machine learning. In this role, you will apply advanced computational and statistical approaches to analyse high dimensional biological datasets, generating insights that directly inform disease understanding and drug discovery. You will sit within the Single Cell & Spatial Omics function, working closely with ML researchers, experimental scientists, and software engineers to translate complex biological data into actionable knowledge. This is a highly collaborative, scientifically driven role, suited to someone who enjoys working deeply with data, challenging models with biological insight, and contributing meaningfully to interdisciplinary research programmes. Your responsibilities Analyse and interpret single cell, spatial, and other multi omics datasets to uncover biological mechanisms relevant to disease and therapeutic intervention. Develop and apply statistical and computational methods for transcriptomics and related omics data. Use domain expertise to design rigorous evaluation tasks that test, challenge, and refine ML models. Collaborate closely with ML scientists to inform model assumptions, features, and interpretation. Work with experimental teams to help design experiments and validate computational hypotheses. Clearly communicate insights, results, and methodologies to internal stakeholders and contribute to scientific publications. Professionally, you have A PhD in computational biology, bioinformatics, statistics, physics, mathematics, or a related quantitative field. Strong experience working with high dimensional biological data, including transcriptomics and other omics modalities. Proficiency in Python, with experience in scientific computing and data analysis. A solid understanding of statistical modelling and quantitative methods applied to biological data. Experience with Bayesian models. Desirable knowledge or experiences Hands on experience with single cell and/or spatial omics data, including patient derived samples. Familiarity with machine learning approaches used in biological or biomedical research. Experience working in interdisciplinary teams spanning biology, data science, and ML. Exposure to scalable computing environments. Personally, you are A collaborative, inclusive team player who thrives in interdisciplinary environments. A clear and thoughtful communicator, comfortable explaining complex ideas across disciplines. Curious, impact driven, and motivated by scientific discovery. Humble, open minded, and eager to learn. Passionate about applying data and science to improve patients' lives. Join us in this exciting role where your contributions will have a direct impact on advancing our understanding of genetics and disease risk, supporting our mission to get transformative medicines to patients. Together, we're not just doing research; we're setting new standards in the field of machine learning and genetics. The patient is waiting! Relation Therapeutics is a committed equal opportunities employer. RECRUITMENT AGENCIES: Please note that Relation Therapeutics does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation Therapeutics will not be liable for any fees associated with unsolicited CVs.
Feb 17, 2026
Full time
About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state of the art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into impactful therapies for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential. By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. The opportunity We are seeking a Principal Data Scientist, Computational Biology to join Relation, working at the intersection of single cell biology, spatial omics, and machine learning. In this role, you will apply advanced computational and statistical approaches to analyse high dimensional biological datasets, generating insights that directly inform disease understanding and drug discovery. You will sit within the Single Cell & Spatial Omics function, working closely with ML researchers, experimental scientists, and software engineers to translate complex biological data into actionable knowledge. This is a highly collaborative, scientifically driven role, suited to someone who enjoys working deeply with data, challenging models with biological insight, and contributing meaningfully to interdisciplinary research programmes. Your responsibilities Analyse and interpret single cell, spatial, and other multi omics datasets to uncover biological mechanisms relevant to disease and therapeutic intervention. Develop and apply statistical and computational methods for transcriptomics and related omics data. Use domain expertise to design rigorous evaluation tasks that test, challenge, and refine ML models. Collaborate closely with ML scientists to inform model assumptions, features, and interpretation. Work with experimental teams to help design experiments and validate computational hypotheses. Clearly communicate insights, results, and methodologies to internal stakeholders and contribute to scientific publications. Professionally, you have A PhD in computational biology, bioinformatics, statistics, physics, mathematics, or a related quantitative field. Strong experience working with high dimensional biological data, including transcriptomics and other omics modalities. Proficiency in Python, with experience in scientific computing and data analysis. A solid understanding of statistical modelling and quantitative methods applied to biological data. Experience with Bayesian models. Desirable knowledge or experiences Hands on experience with single cell and/or spatial omics data, including patient derived samples. Familiarity with machine learning approaches used in biological or biomedical research. Experience working in interdisciplinary teams spanning biology, data science, and ML. Exposure to scalable computing environments. Personally, you are A collaborative, inclusive team player who thrives in interdisciplinary environments. A clear and thoughtful communicator, comfortable explaining complex ideas across disciplines. Curious, impact driven, and motivated by scientific discovery. Humble, open minded, and eager to learn. Passionate about applying data and science to improve patients' lives. Join us in this exciting role where your contributions will have a direct impact on advancing our understanding of genetics and disease risk, supporting our mission to get transformative medicines to patients. Together, we're not just doing research; we're setting new standards in the field of machine learning and genetics. The patient is waiting! Relation Therapeutics is a committed equal opportunities employer. RECRUITMENT AGENCIES: Please note that Relation Therapeutics does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation Therapeutics will not be liable for any fees associated with unsolicited CVs.
# Our Privacy Statement & Cookie Policy Join a cutting-edge research team working to deliver on the transformation promises of modern AI. We are seeking Machine Learning Research Engineers with the skills and drive to build and conduct experiments with advanced AI systems in an academic environment rich with high-quality data from real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are expanding our strong foundation of research capabilities across different areas and are looking for engineers who participate in designing, coding, conducting experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued pretraining, instruction tuning, reinforcement learning, distributed training, efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., reasoning models, LLMs + knowledge graphs, test time compute, CoT pipelines, tool use & API calling, etc.) Data-centric Machine Learning (Synthetic data, curriculum learning, learned data mixtures, etc.) Evaluation (Benchmarking best practices, humans/LLMs as a judge, red teaming/adversarial testing, hallucination detection, etc.)We work collaboratively with TR Labs (TR's applied research division), academic partners at world-leading research institutions, and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state-of-the-art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models. As an ML Research Engineer, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to contribute to our proprietary AI model research & development through rapid prototyping, scalable infrastructure, and production-quality implementations, and to research papers in top tier academic conferences and journals. About the role In this opportunity, as an ML Research Engineer you will: Build: You will design and implement robust, scalable systems for training and evaluating large language models. You'll build data pipelines for data-centric research, training infrastructure for instruction fine-tuning (IFT), Direct Preference Optimization (DPO), and reinforcement learning workflows, evaluation frameworks for comprehensive model assessment, and infrastructure for agentic workflows that enables researchers to iterate quickly and effectively. Innovate: You will work at the very cutting edge of AI Research at an institution with some of the richest data sources in the world. Through your work, you will rapidly implement novel research ideas in LLM training, evaluation, agentic systems, and data processing, transforming them into production-ready systems and research publications. You will contribute to advancing the state-of-the-art in data-centric ML by building tools that help us make the best use of our unprecedented data resources. Experiment and Develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality implementations that support cutting-edge research. You'll build pipelines for synthetic data generation, automated evaluation systems, training workflows for various fine-tuning approaches, and agent-based workflows that push the boundaries of what's possible with LLMs. Collaborate: Working on a collaborative global team of research engineers and scientists both within Thomson Reuters and our academic partners at world-leading universities. You'll work closely with researchers to understand their needs and translate cutting-edge research papers into practical, scalable implementations. Communicate: Actively engage in sharing technical implementations and best practices with the wider team through code reviews, documentation, technical presentations, and knowledge sharing sessions. Contribute to internal research discussions and stay current with the latest developments in LLM training, evaluation, agentic AI, and data-centric machine learning. About you You're a fit for the role if your background includes: Required qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a relevant discipline (or equivalent practical experience) 3+ years of hands-on experience building ML/NLP/AI systems with strong software engineering practices Demonstrated expertise in building production-quality code and data pipelines for ML systems Proficiency in modern AI development frameworks including: PyTorch, Jax , HuggingFace Transformers, LLM APIs (litellm etc) and vLLM for building and deploying large-scale AI applications Understanding of LLM training methodologies including instruction fine-tuning, preference optimization, and reinforcement learning approaches Strong software engineering skills including version control, testing, CI/CD, and code quality practices Hands-on experience with experiment tracking and orchestration tools such as clearml, Weights & Biases, MLflow. Experience with distributed computing frameworks and large-scale data processing (e.g., Ray, Spark, Dask) Excellent communication skills to collaborate with researchers and translate research ideas into robust implementations Self-driven attitude with genuine curiosity about ML research developments Comfortable working in fast-paced, agile environments, managing the uncertainty and ambiguity of genuinely novel researchHelpful qualifications: Track record of ML impact in the form of releases, publications or contributions to open source ML libraries or frameworks (especially in training, evaluation, data processing, or agent systems) Experience building and maintaining ML training infrastructure and data pipelines at scale Extensive experience with LLM training techniques such as instruction fine-tuning (IFT), Direct Preference Optimization (DPO), Proximal Policy Optimization (PPO), or other RLHF methods Hands-on experience implementing and scaling supervised fine-tuning, preference learning, and reinforcement learning pipelines for LLMs Experience building LLM evaluation frameworks, benchmarking systems, or automated testing pipelines Hands-on experience with agentic workflows, tool-using AI systems, or multi-agent coordination (examples include: langgraph, AutoGPT, LLamaIndex) Experience with data-centric ML approaches including synthetic data generation, data curation, or curriculum learning pipelines Experience training large-scale models over distributed nodes with cloud tools such as AWS, MS Azure, or Google Cloud Hands-on experience with MLOps, experiment tracking, and model deployment systems Strong interest in staying current with ML research literature and ability to quickly implement novel techniques from academic papers Familiarity with training optimization techniques such as mixed precision training, gradient checkpointing, and efficient attention mechanisms Knowledge of modern ML engineering practices (containerization, orchestration, monitoring)You will enjoy: Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data, compute, and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known
Feb 15, 2026
Full time
# Our Privacy Statement & Cookie Policy Join a cutting-edge research team working to deliver on the transformation promises of modern AI. We are seeking Machine Learning Research Engineers with the skills and drive to build and conduct experiments with advanced AI systems in an academic environment rich with high-quality data from real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are expanding our strong foundation of research capabilities across different areas and are looking for engineers who participate in designing, coding, conducting experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued pretraining, instruction tuning, reinforcement learning, distributed training, efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., reasoning models, LLMs + knowledge graphs, test time compute, CoT pipelines, tool use & API calling, etc.) Data-centric Machine Learning (Synthetic data, curriculum learning, learned data mixtures, etc.) Evaluation (Benchmarking best practices, humans/LLMs as a judge, red teaming/adversarial testing, hallucination detection, etc.)We work collaboratively with TR Labs (TR's applied research division), academic partners at world-leading research institutions, and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state-of-the-art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models. As an ML Research Engineer, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to contribute to our proprietary AI model research & development through rapid prototyping, scalable infrastructure, and production-quality implementations, and to research papers in top tier academic conferences and journals. About the role In this opportunity, as an ML Research Engineer you will: Build: You will design and implement robust, scalable systems for training and evaluating large language models. You'll build data pipelines for data-centric research, training infrastructure for instruction fine-tuning (IFT), Direct Preference Optimization (DPO), and reinforcement learning workflows, evaluation frameworks for comprehensive model assessment, and infrastructure for agentic workflows that enables researchers to iterate quickly and effectively. Innovate: You will work at the very cutting edge of AI Research at an institution with some of the richest data sources in the world. Through your work, you will rapidly implement novel research ideas in LLM training, evaluation, agentic systems, and data processing, transforming them into production-ready systems and research publications. You will contribute to advancing the state-of-the-art in data-centric ML by building tools that help us make the best use of our unprecedented data resources. Experiment and Develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality implementations that support cutting-edge research. You'll build pipelines for synthetic data generation, automated evaluation systems, training workflows for various fine-tuning approaches, and agent-based workflows that push the boundaries of what's possible with LLMs. Collaborate: Working on a collaborative global team of research engineers and scientists both within Thomson Reuters and our academic partners at world-leading universities. You'll work closely with researchers to understand their needs and translate cutting-edge research papers into practical, scalable implementations. Communicate: Actively engage in sharing technical implementations and best practices with the wider team through code reviews, documentation, technical presentations, and knowledge sharing sessions. Contribute to internal research discussions and stay current with the latest developments in LLM training, evaluation, agentic AI, and data-centric machine learning. About you You're a fit for the role if your background includes: Required qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a relevant discipline (or equivalent practical experience) 3+ years of hands-on experience building ML/NLP/AI systems with strong software engineering practices Demonstrated expertise in building production-quality code and data pipelines for ML systems Proficiency in modern AI development frameworks including: PyTorch, Jax , HuggingFace Transformers, LLM APIs (litellm etc) and vLLM for building and deploying large-scale AI applications Understanding of LLM training methodologies including instruction fine-tuning, preference optimization, and reinforcement learning approaches Strong software engineering skills including version control, testing, CI/CD, and code quality practices Hands-on experience with experiment tracking and orchestration tools such as clearml, Weights & Biases, MLflow. Experience with distributed computing frameworks and large-scale data processing (e.g., Ray, Spark, Dask) Excellent communication skills to collaborate with researchers and translate research ideas into robust implementations Self-driven attitude with genuine curiosity about ML research developments Comfortable working in fast-paced, agile environments, managing the uncertainty and ambiguity of genuinely novel researchHelpful qualifications: Track record of ML impact in the form of releases, publications or contributions to open source ML libraries or frameworks (especially in training, evaluation, data processing, or agent systems) Experience building and maintaining ML training infrastructure and data pipelines at scale Extensive experience with LLM training techniques such as instruction fine-tuning (IFT), Direct Preference Optimization (DPO), Proximal Policy Optimization (PPO), or other RLHF methods Hands-on experience implementing and scaling supervised fine-tuning, preference learning, and reinforcement learning pipelines for LLMs Experience building LLM evaluation frameworks, benchmarking systems, or automated testing pipelines Hands-on experience with agentic workflows, tool-using AI systems, or multi-agent coordination (examples include: langgraph, AutoGPT, LLamaIndex) Experience with data-centric ML approaches including synthetic data generation, data curation, or curriculum learning pipelines Experience training large-scale models over distributed nodes with cloud tools such as AWS, MS Azure, or Google Cloud Hands-on experience with MLOps, experiment tracking, and model deployment systems Strong interest in staying current with ML research literature and ability to quickly implement novel techniques from academic papers Familiarity with training optimization techniques such as mixed precision training, gradient checkpointing, and efficient attention mechanisms Knowledge of modern ML engineering practices (containerization, orchestration, monitoring)You will enjoy: Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data, compute, and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known
We are a dynamic consulting firm focused on delivering sustainable change. We help our clients succeed in their long-term goals by turning strategy into action through exceptional delivery and establishing a culture of change. As a transformation consultancy, we work with clients to improve the way they operate, deliver services, and empower their people. We get out of the theory and into the detail - working directly with client teams to deliver meaningful, measurable impact. Our people are our greatest asset and core to why clients choose to work with us. We pride ourselves on being proactive, collaborative and straightforward team players, with a focus on being successful together. We move fast as a team, and honesty and integrity sit at the heart of how we operate. You will be part of a supportive and high performing community that looks after one another, has fun, and celebrates success together. You can expect exciting opportunities on varied and stretching projects that will equip you with skills, experience and knowledge to help organisations thrive in a rapidly changing world. We will expect you to contribute to a culture of sustainability and embrace Moorhouse's social responsibility by integrating responsible practices and upholding ethical standards and awareness in everyday work. Moorhouse is currently unable to offer visa sponsorship for this role. Unfortunately, this means we are not able to progress applications from candidates who would require sponsorship now or in the future. Data Science at Moorhouse Our Data Science capability is a growing and strategically significant part of Moorhouse. We help organisations unlock the value of their data by combining strong technical expertise with the consulting skills needed to drive real world change. Our team works across the full data and analytics lifecycle, from shaping strategy and enabling data driven cultures, to building advanced analytical models and delivering digital products that embed predictive insight into everyday decision making. We partner with clients across multiple sectors, including healthcare, energy and utilities, life sciences, financial services and TMT. Much of our work today focuses on developing and deploying analytical tools and web based products that support forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on delivering tangible business outcomes. As demand for digital and AI enabled transformation continues to grow, our Data Science team is continuing to grow and shaping some of the most impactful programmes across the firm. Responsibilities Why join the Data Science team at Moorhouse? As a Senior Consultant, you will help deliver advanced analytics and digital product solutions, leading defined workstreams and shaping how data science is applied in practice. You will play a key role in both hands on delivery and client engagement. In this role, you will have the opportunity to: Deliver machine learning, forecasting and analytical solutions that support meaningful outcomes. Lead workstreams within broader programmes, ensuring clarity, structure and quality. Design analytical approaches and contribute to architectural decisions. Develop dashboards, apps and tools using PowerBI, KNIME, R or Python based frameworks. Work directly with senior stakeholders, translating analytical insights into practical and actionable recommendations. Support business development through proposals, thought leadership and proposition development. Mentor junior colleagues and contribute to capability growth. Essential skills What are we looking for? We are seeking candidates with 4+ years' experience in data science, advanced data analytics, data engineering, or digital product development. Core Analytics & Engineering Strong experience with Python and SQL; exposure to R is beneficial. Hands on delivery of machine learning models or advanced analytical techniques. Experience designing data pipelines, dashboards, APIs or analytical tools. Experience with Power BI, Tableau, KNIME or Python visualisation frameworks. Familiarity with modern cloud platforms (Azure, AWS, GCP, Snowflake, Databricks). GenAI & LLM Fluency Practical experience using large language models (LLMs) via APIs (e.g. OpenAI, Azure OpenAI, Anthropic). Structured prompt engineering, including templates, guardrails and basic evaluation approaches. Awareness of model limitations, hallucinations, latency and cost trade offs. Infrastructure & Production Mindset Conceptual and light hands on familiarity with cloud infrastructure (Azure/AWS/GCP). Basic experience with Docker or environment management. Comfort moving from notebooks to production ready services, pipelines or batch workflows. Exposure to APIs, simple backends or AI enabled services. Ethics, Governance & Risk Clear understanding of data privacy, GDPR and responsible AI principles. Comfort delivering AI solutions within client governance, security and risk constraints. Ability to explain AI risks and controls clearly to non technical stakeholders. Consulting Skills Strong communication and stakeholder engagement skills. Ability to translate complex analytical and AI concepts in a way that is easy to understand and client friendly. Experience leading structured delivery within consulting or project environments. Confidence balancing technical delivery with commercial and client needs. Bonus Experience Experience building internal AI tools, copilots or assistants. Exposure to LangChain, LlamaIndex or similar orchestration frameworks. Well developed production mindset, with a focus on reliability and maintainability. What we can offer you: A total cash package of up to £80,000 comprising of a base salary of £64,575 and a combination of personal and company bonuses paid every six months. 25 days annual leave, increasing by one day for every full year of service to a maximum of 30, plus the option to buy or sell up to five days per year. Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of lifestyle and wellbeing benefits through Perkbox. A culture free from quotas or forced performance curves, we reward performance consistently and transparently so everyone knows where they stand. Flexible working arrangements, with offices near Liverpool Street, and opportunities to spend time on client site as part of a collaborative team. We offer flexible working arrangements with our offices near Liverpool Street although you can expect to spend some time as part of a team onUKclient sites.Wesupport flexibility wherever possible. Moorhouse is proud to be an equal opportunities employer, and our values underpin a working environment that is inclusive for all those who work for us. We encourage people to bring their whole selves to work, contribute ideas, take the initiative and be responsible for their impact on others internally and externally.
Feb 15, 2026
Full time
We are a dynamic consulting firm focused on delivering sustainable change. We help our clients succeed in their long-term goals by turning strategy into action through exceptional delivery and establishing a culture of change. As a transformation consultancy, we work with clients to improve the way they operate, deliver services, and empower their people. We get out of the theory and into the detail - working directly with client teams to deliver meaningful, measurable impact. Our people are our greatest asset and core to why clients choose to work with us. We pride ourselves on being proactive, collaborative and straightforward team players, with a focus on being successful together. We move fast as a team, and honesty and integrity sit at the heart of how we operate. You will be part of a supportive and high performing community that looks after one another, has fun, and celebrates success together. You can expect exciting opportunities on varied and stretching projects that will equip you with skills, experience and knowledge to help organisations thrive in a rapidly changing world. We will expect you to contribute to a culture of sustainability and embrace Moorhouse's social responsibility by integrating responsible practices and upholding ethical standards and awareness in everyday work. Moorhouse is currently unable to offer visa sponsorship for this role. Unfortunately, this means we are not able to progress applications from candidates who would require sponsorship now or in the future. Data Science at Moorhouse Our Data Science capability is a growing and strategically significant part of Moorhouse. We help organisations unlock the value of their data by combining strong technical expertise with the consulting skills needed to drive real world change. Our team works across the full data and analytics lifecycle, from shaping strategy and enabling data driven cultures, to building advanced analytical models and delivering digital products that embed predictive insight into everyday decision making. We partner with clients across multiple sectors, including healthcare, energy and utilities, life sciences, financial services and TMT. Much of our work today focuses on developing and deploying analytical tools and web based products that support forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on delivering tangible business outcomes. As demand for digital and AI enabled transformation continues to grow, our Data Science team is continuing to grow and shaping some of the most impactful programmes across the firm. Responsibilities Why join the Data Science team at Moorhouse? As a Senior Consultant, you will help deliver advanced analytics and digital product solutions, leading defined workstreams and shaping how data science is applied in practice. You will play a key role in both hands on delivery and client engagement. In this role, you will have the opportunity to: Deliver machine learning, forecasting and analytical solutions that support meaningful outcomes. Lead workstreams within broader programmes, ensuring clarity, structure and quality. Design analytical approaches and contribute to architectural decisions. Develop dashboards, apps and tools using PowerBI, KNIME, R or Python based frameworks. Work directly with senior stakeholders, translating analytical insights into practical and actionable recommendations. Support business development through proposals, thought leadership and proposition development. Mentor junior colleagues and contribute to capability growth. Essential skills What are we looking for? We are seeking candidates with 4+ years' experience in data science, advanced data analytics, data engineering, or digital product development. Core Analytics & Engineering Strong experience with Python and SQL; exposure to R is beneficial. Hands on delivery of machine learning models or advanced analytical techniques. Experience designing data pipelines, dashboards, APIs or analytical tools. Experience with Power BI, Tableau, KNIME or Python visualisation frameworks. Familiarity with modern cloud platforms (Azure, AWS, GCP, Snowflake, Databricks). GenAI & LLM Fluency Practical experience using large language models (LLMs) via APIs (e.g. OpenAI, Azure OpenAI, Anthropic). Structured prompt engineering, including templates, guardrails and basic evaluation approaches. Awareness of model limitations, hallucinations, latency and cost trade offs. Infrastructure & Production Mindset Conceptual and light hands on familiarity with cloud infrastructure (Azure/AWS/GCP). Basic experience with Docker or environment management. Comfort moving from notebooks to production ready services, pipelines or batch workflows. Exposure to APIs, simple backends or AI enabled services. Ethics, Governance & Risk Clear understanding of data privacy, GDPR and responsible AI principles. Comfort delivering AI solutions within client governance, security and risk constraints. Ability to explain AI risks and controls clearly to non technical stakeholders. Consulting Skills Strong communication and stakeholder engagement skills. Ability to translate complex analytical and AI concepts in a way that is easy to understand and client friendly. Experience leading structured delivery within consulting or project environments. Confidence balancing technical delivery with commercial and client needs. Bonus Experience Experience building internal AI tools, copilots or assistants. Exposure to LangChain, LlamaIndex or similar orchestration frameworks. Well developed production mindset, with a focus on reliability and maintainability. What we can offer you: A total cash package of up to £80,000 comprising of a base salary of £64,575 and a combination of personal and company bonuses paid every six months. 25 days annual leave, increasing by one day for every full year of service to a maximum of 30, plus the option to buy or sell up to five days per year. Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of lifestyle and wellbeing benefits through Perkbox. A culture free from quotas or forced performance curves, we reward performance consistently and transparently so everyone knows where they stand. Flexible working arrangements, with offices near Liverpool Street, and opportunities to spend time on client site as part of a collaborative team. We offer flexible working arrangements with our offices near Liverpool Street although you can expect to spend some time as part of a team onUKclient sites.Wesupport flexibility wherever possible. Moorhouse is proud to be an equal opportunities employer, and our values underpin a working environment that is inclusive for all those who work for us. We encourage people to bring their whole selves to work, contribute ideas, take the initiative and be responsible for their impact on others internally and externally.
At Reach Industries, we believe that scientists are solving some of the world's most pressing challenges, from combating climate change to developing vaccines and new treatments for diseases yet their tools are still poor. Our AI powered software platform, Lumi, automates operational data capture, insights and processes in labs, augmenting scientists so they can focus on the more creative aspects of their work. Lumi is versatile and is being applied across a wide range of life science industries, including in biotech and pharma. We are a startup where the early team have a strong background in various frontier technologies and a deep love for making science better. We've already shipped a first version of the Lumi platform and we've received excellent feedback from early customers. We are now looking for a Multimodal Data Capture Manager to take full ownership of how data is sourced, captured, processed, and delivered across the organisation. This role is critical to the success of Lumi and sits at the intersection of operations, data capture, and real-world environments. This is not a hands-on recording role. Instead, you will run the show: designing capture strategies, setting up capture environments, coordinating internal and external teams, sourcing or commissioning data when needed, and ensuring capture operations run reliably at scale. As a Multimodal Data Capture Manager, you will own the end-to-end data acquisition pipeline for Reach Industries's AI systems. You will work closely with AI engineers, product leaders, scientists, and external partners to ensure we are consistently capturing the right data, in the right way, at the right scale, and to the right quality standards. Your Remit Spans Strategy and planning for multimodal data capture Setup and management of capture environments Execution through internal teams and third parties Data organisation, governance, and quality control Continuous improvement of capture pipelines as Lumi evolves This is a highly autonomous role with real operational responsibility and influence over how Lumi scales. This is a highly autonomous role with real operational responsibility and influence over how Lumi's AI capabilities scale. Your Impact Data Capture Strategy & Planning Define and own the strategy for capturing multimodal data (audio, video, images), aligned with product and operational goals. Translate internal requirements into concrete capture specifications (modalities, environments, formats, volumes, quality thresholds). Decide when data should be captured internally, commissioned externally, or sourced via partners or third party providers. Capture Environment Setup & Operations Design and run data capture programmes across labs, customer sites, pilots, and internal environments. Identify, secure, and organise capture spaces, including studios, labs, offices, or temporary setups. Oversee setup of capture environments, including equipment, layouts, and workflows. Coordinate and manage the people doing the capture, including internal teams, contractors, partners, and customers. Build repeatable, well documented processes that allow data capture to scale without chaos. Data Pipeline Ownership Own the pipeline from raw data capture through storage, validation, and delivery to downstream teams. Work with engineering to ensure data is traceable, accessible, and well structured. Define and enforce quality checks to ensure captured data meets agreed standards. Third Party & Vendor Management Source, onboard, and manage external data capture partners and vendors. Monitor and manage cost, throughput, and quality, to the highest possible standard. Continuously evaluate buy vs build vs partner approaches to data capture. Cross Functional Collaboration & Compliance Work closely with scientists and domain experts to ensure captured data reflects real world lab behaviour. Support compliance, security, and privacy requirements (e.g. GDPR) across all capture workflows. Ensure appropriate consent and usage rights are in place for all captured data. Measurement & Continuous Improvement Define KPIs for capture quality, coverage, cost, latency, and reusability. Identify bottlenecks and inefficiencies in capture operations and resolve them. Continuously evolve capture methods as Lumi expands into new domains and use cases. Your Experience We're more interested in evidence of ownership and execution than a perfect CV, but you'll likely have many of the following: Experience owning or running large scale data capture or data acquisition operations, particularly involving audio and/or visual data. Proven ability to set up and manage physical or remote capture environments. Experience coordinating internal teams, contractors, or external partners. Strong operational mindset with the ability to design processes and make them work in practice. Comfort operating across technical, scientific, and operational domains. Strong organisational skills and attention to detail, without losing sight of the bigger picture. Excellent communication skills and confidence working with senior stakeholders. Experience with data governance, compliance, or regulated environments is a plus. Background in media operations, AV production, lab operations, or data operations is highly desirable. This role is Operationally critical Highly autonomous Foundational to how Lumi scales A chance to build systems and processes from the ground up This role is not A passive project coordinator A purely academic or research position An AI or machine learning engineering role A role limited to spreadsheets and vendor emails Benefits Competitive salary depending on applicant experience and skill level. Stock Options We want our team to be a part of our success and offer all permanent team members stock options Holiday 27 days + Bank Holidays + Birthday off + Company closure between Christmas and New Year Pension Contribution 8% from us and 1% from our employees BUPA Private Healthcare for you and your family Flexible working with an 8am 10am start and 4 6pm finish Enhanced Maternity Leave Available to employees with 6+ months tenure, Reach Industries pays 100% of your salary for the first 26 weeks of your maternity leave. The next 13 weeks is paid at 50% of your base salary Growth & Development Allocated annual budget for conferences, training courses and other materials Hybrid working, with time in our Bristol HQ when required Celebrating Diversity We encourage, support and celebrate diversity in the workplace and in all aspects of life. We are proud to be an equal opportunity employer who strives to ensure a balanced and measured approach to all aspects of employment. We want this to be the best place you've ever worked; a fun environment where you will positively influence the culture and have the freedom and confidence to do your best work with the respect and trust of your colleagues. Polite Recruiter Note We currently do not wish to work with any external recruiters or agencies, please do not contact us at this stage as it will jeopardise any opportunity of working together in the future.
Feb 13, 2026
Full time
At Reach Industries, we believe that scientists are solving some of the world's most pressing challenges, from combating climate change to developing vaccines and new treatments for diseases yet their tools are still poor. Our AI powered software platform, Lumi, automates operational data capture, insights and processes in labs, augmenting scientists so they can focus on the more creative aspects of their work. Lumi is versatile and is being applied across a wide range of life science industries, including in biotech and pharma. We are a startup where the early team have a strong background in various frontier technologies and a deep love for making science better. We've already shipped a first version of the Lumi platform and we've received excellent feedback from early customers. We are now looking for a Multimodal Data Capture Manager to take full ownership of how data is sourced, captured, processed, and delivered across the organisation. This role is critical to the success of Lumi and sits at the intersection of operations, data capture, and real-world environments. This is not a hands-on recording role. Instead, you will run the show: designing capture strategies, setting up capture environments, coordinating internal and external teams, sourcing or commissioning data when needed, and ensuring capture operations run reliably at scale. As a Multimodal Data Capture Manager, you will own the end-to-end data acquisition pipeline for Reach Industries's AI systems. You will work closely with AI engineers, product leaders, scientists, and external partners to ensure we are consistently capturing the right data, in the right way, at the right scale, and to the right quality standards. Your Remit Spans Strategy and planning for multimodal data capture Setup and management of capture environments Execution through internal teams and third parties Data organisation, governance, and quality control Continuous improvement of capture pipelines as Lumi evolves This is a highly autonomous role with real operational responsibility and influence over how Lumi scales. This is a highly autonomous role with real operational responsibility and influence over how Lumi's AI capabilities scale. Your Impact Data Capture Strategy & Planning Define and own the strategy for capturing multimodal data (audio, video, images), aligned with product and operational goals. Translate internal requirements into concrete capture specifications (modalities, environments, formats, volumes, quality thresholds). Decide when data should be captured internally, commissioned externally, or sourced via partners or third party providers. Capture Environment Setup & Operations Design and run data capture programmes across labs, customer sites, pilots, and internal environments. Identify, secure, and organise capture spaces, including studios, labs, offices, or temporary setups. Oversee setup of capture environments, including equipment, layouts, and workflows. Coordinate and manage the people doing the capture, including internal teams, contractors, partners, and customers. Build repeatable, well documented processes that allow data capture to scale without chaos. Data Pipeline Ownership Own the pipeline from raw data capture through storage, validation, and delivery to downstream teams. Work with engineering to ensure data is traceable, accessible, and well structured. Define and enforce quality checks to ensure captured data meets agreed standards. Third Party & Vendor Management Source, onboard, and manage external data capture partners and vendors. Monitor and manage cost, throughput, and quality, to the highest possible standard. Continuously evaluate buy vs build vs partner approaches to data capture. Cross Functional Collaboration & Compliance Work closely with scientists and domain experts to ensure captured data reflects real world lab behaviour. Support compliance, security, and privacy requirements (e.g. GDPR) across all capture workflows. Ensure appropriate consent and usage rights are in place for all captured data. Measurement & Continuous Improvement Define KPIs for capture quality, coverage, cost, latency, and reusability. Identify bottlenecks and inefficiencies in capture operations and resolve them. Continuously evolve capture methods as Lumi expands into new domains and use cases. Your Experience We're more interested in evidence of ownership and execution than a perfect CV, but you'll likely have many of the following: Experience owning or running large scale data capture or data acquisition operations, particularly involving audio and/or visual data. Proven ability to set up and manage physical or remote capture environments. Experience coordinating internal teams, contractors, or external partners. Strong operational mindset with the ability to design processes and make them work in practice. Comfort operating across technical, scientific, and operational domains. Strong organisational skills and attention to detail, without losing sight of the bigger picture. Excellent communication skills and confidence working with senior stakeholders. Experience with data governance, compliance, or regulated environments is a plus. Background in media operations, AV production, lab operations, or data operations is highly desirable. This role is Operationally critical Highly autonomous Foundational to how Lumi scales A chance to build systems and processes from the ground up This role is not A passive project coordinator A purely academic or research position An AI or machine learning engineering role A role limited to spreadsheets and vendor emails Benefits Competitive salary depending on applicant experience and skill level. Stock Options We want our team to be a part of our success and offer all permanent team members stock options Holiday 27 days + Bank Holidays + Birthday off + Company closure between Christmas and New Year Pension Contribution 8% from us and 1% from our employees BUPA Private Healthcare for you and your family Flexible working with an 8am 10am start and 4 6pm finish Enhanced Maternity Leave Available to employees with 6+ months tenure, Reach Industries pays 100% of your salary for the first 26 weeks of your maternity leave. The next 13 weeks is paid at 50% of your base salary Growth & Development Allocated annual budget for conferences, training courses and other materials Hybrid working, with time in our Bristol HQ when required Celebrating Diversity We encourage, support and celebrate diversity in the workplace and in all aspects of life. We are proud to be an equal opportunity employer who strives to ensure a balanced and measured approach to all aspects of employment. We want this to be the best place you've ever worked; a fun environment where you will positively influence the culture and have the freedom and confidence to do your best work with the respect and trust of your colleagues. Polite Recruiter Note We currently do not wish to work with any external recruiters or agencies, please do not contact us at this stage as it will jeopardise any opportunity of working together in the future.
