dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. Joining our team, you'll work with world-class and passionate people to apply machine learning and statistical techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll have the opportunity to present results to a variety of internal stakeholders. You will apply these techniques and algorithms to create dunnhumby science solutions that can be delivered across our clients and engineered into science modules. This role will be focused on how we ensure better decisions are made as part of category management, ensuring the right product is in the hands of the customer, by enhancing our data-led understanding of products and categories, optimizing across space and range and increasing automation of category decision making. What we expect from you PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. Experience with machine learning techniques such as regularized regression, clustering or tree-based ensembles, and the ability to implement them through libraries. Experience with programming, ideally Python, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Hadoop / Spark / SQL. Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas, scikit-learn, along with data visualization technologies. Experience in the retail sector would be an added advantage. What you can expect from us We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don't just talk about diversity and inclusion. We live it every day - with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work/life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
May 23, 2025
Full time
dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. Joining our team, you'll work with world-class and passionate people to apply machine learning and statistical techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll have the opportunity to present results to a variety of internal stakeholders. You will apply these techniques and algorithms to create dunnhumby science solutions that can be delivered across our clients and engineered into science modules. This role will be focused on how we ensure better decisions are made as part of category management, ensuring the right product is in the hands of the customer, by enhancing our data-led understanding of products and categories, optimizing across space and range and increasing automation of category decision making. What we expect from you PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. Experience with machine learning techniques such as regularized regression, clustering or tree-based ensembles, and the ability to implement them through libraries. Experience with programming, ideally Python, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Hadoop / Spark / SQL. Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas, scikit-learn, along with data visualization technologies. Experience in the retail sector would be an added advantage. What you can expect from us We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don't just talk about diversity and inclusion. We live it every day - with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work/life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
Machine Learning Manager manages the work efforts of Machine Learning Scientists and is accountable for the performance and results of their staff. They oversee highly complex projects that have significant impact on the organization, consult on complex issues, and contribute key ideas. They are a spokesperson and advocate on relevant machine learning topics to both internal and external audiences and stakeholders. They contribute directly to the features and capabilities deployed in our applications and are responsible for advanced project delivery, execution, and support. They work closely with cross-functional business units, software engineering, and data scientists to simulate and test econometric/probabilistic relationships across the big data stack, and with product and marketing teams to understand client goals and turn research into products. Machine Learning Managers provide guidance to their staff within the latitude of established company policies, receiving assignments in the form of objectives and determining how to use resources to meet schedules and goals. They adapt departmental plans and priorities to address resource and operational challenges and have responsibility for human resources related activities, such as hiring, performance management, career development, and pay reviews. They participate in the budget process, as well as forecasts for their department. Machine Learning Managers have extensive knowledge of the field and possess a combination of machine learning, computer science, data mining, and statistical experience. They demonstrate strong leadership skills and create an atmosphere that encourages and fosters superior teamwork and strong work ethics. Company: DST Applied Analytics Qualifications: Desired Skills and Experience Technical Qualities: Demonstrate ability to build, analyze, and troubleshoot our proprietary targeting and analytic system to optimize revenue across multiple business units. Analyze and extract relevant information from large amounts of business data and translate learnings from data insights into system concepts and computer algorithms that form core analytic products. Serve as a primary person to consult on complex issues and contribute key ideas. Input into scope of new algorithm development; including design of algorithms and building of models and software to optimize key business metrics; analyze the performance of individual algorithms and collections of multiple algorithms; and develop techniques for monitoring and visualizing the performance of all deployed algorithms. Assist in conducting proof-of-concept studies for early stage research and input into research and implementation of new, distributed, and scalable machine learning and statistical approaches. The role is responsible for managing and supporting advanced project delivery, execution, and support; and to also understand and affect product directions. The role will need to demonstrate a combination of machine learning, computer science, data mining, and statistical experience. They also mentor and develop team members as well as other technical roles when needed. Education/Training Minimal Qualifications: Bachelor's degree in Computer Science or related field (Statistics, Mathematics, Engineering) or equivalent combination of education plus work experience; 2 years' industry experience maintaining a code base written in a high-level object-oriented language; formal studies or industry experience in distributed computing (e.g., MapReduce, Hadoop, AWS, DHTs, etc.); industry experience working with very large datasets; familiarity with parallel programming or parallel algorithms development; familiarity with machine learning concepts, data mining, knowledge discovery, and information retrieval (NLP & Semantic Analysis); strong background in Math, Statistics, and Engineering concepts; demonstrated leadership attributes. Optimal Qualifications: Masters or PhD in Computer Science or related field (Statistics, Mathematics, Engineering); 2+ years' industry experience maintaining a code base written in a high-level object-oriented language; industry experience in distributed computing (e.g., MapReduce, Hadoop, AWS, DHTs, etc.); industry experience working with very large datasets; experience with parallel programming or parallel algorithms development; experience with machine learning concepts, data mining, knowledge discovery, and information retrieval (NLP & Semantic Analysis); strong background in Math, Statistics, and Engineering concepts; experience with Graph Analysis, Recommender Systems (Collaborative Filtering), and probabilistic algorithms; staff supervisory or management experience. Educational level: Master Degree Level of experience (years): Mid Career (2+ years of experience) How to apply: Please mention NLP People as a source when applying.
May 23, 2025
Full time
Machine Learning Manager manages the work efforts of Machine Learning Scientists and is accountable for the performance and results of their staff. They oversee highly complex projects that have significant impact on the organization, consult on complex issues, and contribute key ideas. They are a spokesperson and advocate on relevant machine learning topics to both internal and external audiences and stakeholders. They contribute directly to the features and capabilities deployed in our applications and are responsible for advanced project delivery, execution, and support. They work closely with cross-functional business units, software engineering, and data scientists to simulate and test econometric/probabilistic relationships across the big data stack, and with product and marketing teams to understand client goals and turn research into products. Machine Learning Managers provide guidance to their staff within the latitude of established company policies, receiving assignments in the form of objectives and determining how to use resources to meet schedules and goals. They adapt departmental plans and priorities to address resource and operational challenges and have responsibility for human resources related activities, such as hiring, performance management, career development, and pay reviews. They participate in the budget process, as well as forecasts for their department. Machine Learning Managers have extensive knowledge of the field and possess a combination of machine learning, computer science, data mining, and statistical experience. They demonstrate strong leadership skills and create an atmosphere that encourages and fosters superior teamwork and strong work ethics. Company: DST Applied Analytics Qualifications: Desired Skills and Experience Technical Qualities: Demonstrate ability to build, analyze, and troubleshoot our proprietary targeting and analytic system to optimize revenue across multiple business units. Analyze and extract relevant information from large amounts of business data and translate learnings from data insights into system concepts and computer algorithms that form core analytic products. Serve as a primary person to consult on complex issues and contribute key ideas. Input into scope of new algorithm development; including design of algorithms and building of models and software to optimize key business metrics; analyze the performance of individual algorithms and collections of multiple algorithms; and develop techniques for monitoring and visualizing the performance of all deployed algorithms. Assist in conducting proof-of-concept studies for early stage research and input into research and implementation of new, distributed, and scalable machine learning and statistical approaches. The role is responsible for managing and supporting advanced project delivery, execution, and support; and to also understand and affect product directions. The role will need to demonstrate a combination of machine learning, computer science, data mining, and statistical experience. They also mentor and develop team members as well as other technical roles when needed. Education/Training Minimal Qualifications: Bachelor's degree in Computer Science or related field (Statistics, Mathematics, Engineering) or equivalent combination of education plus work experience; 2 years' industry experience maintaining a code base written in a high-level object-oriented language; formal studies or industry experience in distributed computing (e.g., MapReduce, Hadoop, AWS, DHTs, etc.); industry experience working with very large datasets; familiarity with parallel programming or parallel algorithms development; familiarity with machine learning concepts, data mining, knowledge discovery, and information retrieval (NLP & Semantic Analysis); strong background in Math, Statistics, and Engineering concepts; demonstrated leadership attributes. Optimal Qualifications: Masters or PhD in Computer Science or related field (Statistics, Mathematics, Engineering); 2+ years' industry experience maintaining a code base written in a high-level object-oriented language; industry experience in distributed computing (e.g., MapReduce, Hadoop, AWS, DHTs, etc.); industry experience working with very large datasets; experience with parallel programming or parallel algorithms development; experience with machine learning concepts, data mining, knowledge discovery, and information retrieval (NLP & Semantic Analysis); strong background in Math, Statistics, and Engineering concepts; experience with Graph Analysis, Recommender Systems (Collaborative Filtering), and probabilistic algorithms; staff supervisory or management experience. Educational level: Master Degree Level of experience (years): Mid Career (2+ years of experience) How to apply: Please mention NLP People as a source when applying.
Senior Intelligence Analyst page is loaded Senior Intelligence Analyst Apply locations Manchester Cheltenham London time type Full time posted on Posted 3 Days Ago job requisition id R9276 Position Title: Senior Intelligence Analyst Location: UK (London, Manchester or Cheltenham) Role Purpose: As an Intelligence Analyst at NCC Group, you will be responsible for analysing external data sets to identify individuals when compared with aggregated, redacted, and/or pseudonymized data sets. Your expertise in data analysis, privacy, and threat hunting will be crucial in uncovering patterns and insights that can inform our clients' privacy and security strategies. Summary Analyse external data sets to identify individuals when compared with aggregated and/or pseudonymised data sets. Proactively hunt for threats by identifying patterns and anomalies in large datasets. Collaborate with cross-functional teams, including data scientists, privacy engineers, and security specialists, to integrate findings into broader privacy and security recommendations and reporting. Conduct risk assessments to identify potential threats related to data re-identification. Develop and utilize tools and scripts in Python or other relevant programming languages to support data analysis tasks. Conduct technical tests and experiments to validate privacy solutions for clients. Document and communicate findings and recommendations to clients and stakeholders. What we are looking for in you: Strong analytical and problem-solving skills. Comfortable tackling problems from first principles. Ability to work on 'green field' projects with minimal initial knowledge. Passionate about privacy, data analysis, and threat hunting. Excellent communication and collaboration skills, especially with clients. Strong understanding of data analysis, particularly in the context of privacy and re-identification. Experience in conducting technical tests and experiments. Familiarity with formal research methodologies. Proficiency in identifying relevant public datasets and leveraging them to identify individuals in otherwise anonymous datasets. Behaviours: Focusing on Clients and Customers. Working as One NCC. Always Learning. Being Inclusive and Respectful. Delivery Brilliantly. Enabling Performance Why NCC Group? At NCC Group, our mission is to create a more secure digital future. That mission underpins everything we do, from our work with our incredible clients to groundbreaking research shaping our industry. Our teams partner with clients across a multitude of industries, delving into, securing new products, and emerging technologies, as well as solving complex security problems. As global leaders in cyber and escrow, NCC Group is a people-powered business seeking the next group of brilliant minds to join our ranks. Our colleagues are our greatest asset, and NCC Group is committed to providing an inclusive and supportive work environment that fosters creativity, collaboration, authenticity, and accountability. We want colleagues to put down roots at NCC Group, and we offer a comprehensive benefits package, as well as opportunities for learning and development and career growth. We believe our people are at their brilliant best when they feel bolstered in all aspects of their well-being, and we offer wellness programs and flexible working arrangements to provide that vital support. What do we offer in return? We have a high-performance culture which is balanced evenly with world-class well-being initiatives and benefits; Flexible working Financial & Investment Pension Bonus Life Assurance Share Save Scheme Maternity & Paternity leave Community & Volunteering Programmes Green Car Scheme Cycle Scheme Healthcare Office Lifestyle Employee Referral Program Lifestyle & Wellness Learning & Development Diversity & Inclusion So, what's next? If this sounds like the right opportunity for you, then we would love to hear from you! Click on apply to this job to send us your CV and the relevant member of our global talent team will be in touch with you. Alternatively send your details to . About your application We review every application received and will get in touch if your skills and experience match what we're looking for. If you don't hear back from us within 10 days, please don't be too disappointed - we may keep your CV on our database for any future vacancies and we would encourage you to keep an eye on our career opportunities as there may be other suitable roles. If you do not want us to retain your details, please email . All personal data is held in accordance with the NCC Group Privacy Policy. We are committed to diversity and flexibility in the workplace. If you require any reasonable adjustments to support you during the application process, please tell us at any stage. Please note that this role involves mandatory pre-employment background checks due to the nature of the work NCC Group does. To apply, you must be willing and able to undergo the vetting process. This role being advertised will be subject to BS7858 screening as a mandatory requirement.
May 23, 2025
Full time
Senior Intelligence Analyst page is loaded Senior Intelligence Analyst Apply locations Manchester Cheltenham London time type Full time posted on Posted 3 Days Ago job requisition id R9276 Position Title: Senior Intelligence Analyst Location: UK (London, Manchester or Cheltenham) Role Purpose: As an Intelligence Analyst at NCC Group, you will be responsible for analysing external data sets to identify individuals when compared with aggregated, redacted, and/or pseudonymized data sets. Your expertise in data analysis, privacy, and threat hunting will be crucial in uncovering patterns and insights that can inform our clients' privacy and security strategies. Summary Analyse external data sets to identify individuals when compared with aggregated and/or pseudonymised data sets. Proactively hunt for threats by identifying patterns and anomalies in large datasets. Collaborate with cross-functional teams, including data scientists, privacy engineers, and security specialists, to integrate findings into broader privacy and security recommendations and reporting. Conduct risk assessments to identify potential threats related to data re-identification. Develop and utilize tools and scripts in Python or other relevant programming languages to support data analysis tasks. Conduct technical tests and experiments to validate privacy solutions for clients. Document and communicate findings and recommendations to clients and stakeholders. What we are looking for in you: Strong analytical and problem-solving skills. Comfortable tackling problems from first principles. Ability to work on 'green field' projects with minimal initial knowledge. Passionate about privacy, data analysis, and threat hunting. Excellent communication and collaboration skills, especially with clients. Strong understanding of data analysis, particularly in the context of privacy and re-identification. Experience in conducting technical tests and experiments. Familiarity with formal research methodologies. Proficiency in identifying relevant public datasets and leveraging them to identify individuals in otherwise anonymous datasets. Behaviours: Focusing on Clients and Customers. Working as One NCC. Always Learning. Being Inclusive and Respectful. Delivery Brilliantly. Enabling Performance Why NCC Group? At NCC Group, our mission is to create a more secure digital future. That mission underpins everything we do, from our work with our incredible clients to groundbreaking research shaping our industry. Our teams partner with clients across a multitude of industries, delving into, securing new products, and emerging technologies, as well as solving complex security problems. As global leaders in cyber and escrow, NCC Group is a people-powered business seeking the next group of brilliant minds to join our ranks. Our colleagues are our greatest asset, and NCC Group is committed to providing an inclusive and supportive work environment that fosters creativity, collaboration, authenticity, and accountability. We want colleagues to put down roots at NCC Group, and we offer a comprehensive benefits package, as well as opportunities for learning and development and career growth. We believe our people are at their brilliant best when they feel bolstered in all aspects of their well-being, and we offer wellness programs and flexible working arrangements to provide that vital support. What do we offer in return? We have a high-performance culture which is balanced evenly with world-class well-being initiatives and benefits; Flexible working Financial & Investment Pension Bonus Life Assurance Share Save Scheme Maternity & Paternity leave Community & Volunteering Programmes Green Car Scheme Cycle Scheme Healthcare Office Lifestyle Employee Referral Program Lifestyle & Wellness Learning & Development Diversity & Inclusion So, what's next? If this sounds like the right opportunity for you, then we would love to hear from you! Click on apply to this job to send us your CV and the relevant member of our global talent team will be in touch with you. Alternatively send your details to . About your application We review every application received and will get in touch if your skills and experience match what we're looking for. If you don't hear back from us within 10 days, please don't be too disappointed - we may keep your CV on our database for any future vacancies and we would encourage you to keep an eye on our career opportunities as there may be other suitable roles. If you do not want us to retain your details, please email . All personal data is held in accordance with the NCC Group Privacy Policy. We are committed to diversity and flexibility in the workplace. If you require any reasonable adjustments to support you during the application process, please tell us at any stage. Please note that this role involves mandatory pre-employment background checks due to the nature of the work NCC Group does. To apply, you must be willing and able to undergo the vetting process. This role being advertised will be subject to BS7858 screening as a mandatory requirement.
WHO WE ARE Choreograph is WPP's global data products and technology company. We're on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation. We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising. We're endlessly curious. Our team of thinkers, builders, creators and problem solvers is over 1,000 strong, across 20 markets around the world. WHO WE ARE LOOKING FOR We are looking for a Data Scientist who has experience and expertise in a wide range of methodologies, toolkits and applications to a variety of problems in the media landscape, and especially within Retail Media. As a Product Data Scientist, you will collaborate with teams from Engineering, Product, and fellow data scientists to develop advanced models and solutions. Your responsibilities will include conducting hypothesis testing, applying statistical analysis techniques, and designing and implementing modeling methodologies. You will engage with stakeholders to understand their requirements, provide regular updates on project progress, and translate complex technical concepts into actionable insights for both technical and non-technical audiences. You will be a part of a vibrant group, collaborating with specialist and business teams, demonstrating your technical knowledge, growing your soft/interpersonal skills and to help develop and improve the product offerings of Choreograph. WHAT YOU'LL DO Rapidly prototype as part of a product team, and iterate on experimental projects using a hacker mentality to test hypotheses, validate assumptions, and drive innovation. Align experiments to answer business and product-centered questions, ensuring a clear understanding of the objectives and desired outcomes. Understanding of business analysis techniques, including SWOT (Strengths, Weaknesses, Opportunities, Threats) and SOAR (Strengths, Opportunities, Aspirations, Results) analysis to understand business priorities and align data science initiatives with organizational objectives. Collaborate with data engineers, product teams, and stakeholders to develop and create data products that address specific business needs and requirements with minimal guidance. Support and upskill more junior team members. Gather, analyze, and visualize data to create compelling and informative narratives for stakeholders, using storytelling techniques to effectively communicate insights and recommendations. Stay up to date with the latest advancements, trends, and research in AI, data science, machine learning, and related technologies. Document experimental methodologies, findings, and insights to ensure transparency, reproducibility, and knowledge sharing within the team and across the organization. Collaborate with cross-functional teams to define data requirements, design experiments, and develop strategies to extract meaningful insights from complex datasets. Conduct rigorous data analysis, applying statistical techniques and data visualization to uncover patterns, trends, and actionable insights. Evaluate and recommend appropriate tools, frameworks, and technologies to enhance experimentation, analysis, and data storytelling capabilities. Adhere to data governance and privacy policies to ensure compliance with relevant regulations and industry best practices. WHO YOU ARE Experience analysing large volumes of data. Good understanding of data fusion, enrichment and synthetic methodologies. Excellent analytical skills and strong statistical knowledge, as well as interest in applying them to complex problems. Programming proficiency in Python. Extensive experience solving analytical problems using quantitative approaches. A passion for empirical research and for answering hard questions with data. A flexible analytic approach that allows for results at varying levels of precision. Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner. If you are ready to be at the forefront of the AdTech industry, shaping its future, and driving success for both Choreograph and our clients, we encourage you to apply and join our team. Choreograph is the beating heart of data inside WPP's media investment group, GroupM, the world's leading media investment company responsible for more than $60 billion in annual media investment. Discover more about Choreograph at . GroupM and all its affiliates embrace and celebrate diversity, inclusivity, and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We are a worldwide media agency network that represents global clients. The more inclusive we are, the more great work we can create together.
May 23, 2025
Full time
WHO WE ARE Choreograph is WPP's global data products and technology company. We're on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation. We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising. We're endlessly curious. Our team of thinkers, builders, creators and problem solvers is over 1,000 strong, across 20 markets around the world. WHO WE ARE LOOKING FOR We are looking for a Data Scientist who has experience and expertise in a wide range of methodologies, toolkits and applications to a variety of problems in the media landscape, and especially within Retail Media. As a Product Data Scientist, you will collaborate with teams from Engineering, Product, and fellow data scientists to develop advanced models and solutions. Your responsibilities will include conducting hypothesis testing, applying statistical analysis techniques, and designing and implementing modeling methodologies. You will engage with stakeholders to understand their requirements, provide regular updates on project progress, and translate complex technical concepts into actionable insights for both technical and non-technical audiences. You will be a part of a vibrant group, collaborating with specialist and business teams, demonstrating your technical knowledge, growing your soft/interpersonal skills and to help develop and improve the product offerings of Choreograph. WHAT YOU'LL DO Rapidly prototype as part of a product team, and iterate on experimental projects using a hacker mentality to test hypotheses, validate assumptions, and drive innovation. Align experiments to answer business and product-centered questions, ensuring a clear understanding of the objectives and desired outcomes. Understanding of business analysis techniques, including SWOT (Strengths, Weaknesses, Opportunities, Threats) and SOAR (Strengths, Opportunities, Aspirations, Results) analysis to understand business priorities and align data science initiatives with organizational objectives. Collaborate with data engineers, product teams, and stakeholders to develop and create data products that address specific business needs and requirements with minimal guidance. Support and upskill more junior team members. Gather, analyze, and visualize data to create compelling and informative narratives for stakeholders, using storytelling techniques to effectively communicate insights and recommendations. Stay up to date with the latest advancements, trends, and research in AI, data science, machine learning, and related technologies. Document experimental methodologies, findings, and insights to ensure transparency, reproducibility, and knowledge sharing within the team and across the organization. Collaborate with cross-functional teams to define data requirements, design experiments, and develop strategies to extract meaningful insights from complex datasets. Conduct rigorous data analysis, applying statistical techniques and data visualization to uncover patterns, trends, and actionable insights. Evaluate and recommend appropriate tools, frameworks, and technologies to enhance experimentation, analysis, and data storytelling capabilities. Adhere to data governance and privacy policies to ensure compliance with relevant regulations and industry best practices. WHO YOU ARE Experience analysing large volumes of data. Good understanding of data fusion, enrichment and synthetic methodologies. Excellent analytical skills and strong statistical knowledge, as well as interest in applying them to complex problems. Programming proficiency in Python. Extensive experience solving analytical problems using quantitative approaches. A passion for empirical research and for answering hard questions with data. A flexible analytic approach that allows for results at varying levels of precision. Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner. If you are ready to be at the forefront of the AdTech industry, shaping its future, and driving success for both Choreograph and our clients, we encourage you to apply and join our team. Choreograph is the beating heart of data inside WPP's media investment group, GroupM, the world's leading media investment company responsible for more than $60 billion in annual media investment. Discover more about Choreograph at . GroupM and all its affiliates embrace and celebrate diversity, inclusivity, and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We are a worldwide media agency network that represents global clients. The more inclusive we are, the more great work we can create together.
Overview We are looking for Databricks Engineers from a consulting, investment banking or financial services backgrounds to add to our future Talent Pool community. If you wish to be considered for any future roles we have within this area, please share your CV with us. Treliant is a global consulting firm serving banks, mortgage originators and servicers, FinTechs, and other companies providing financial services. We are led by practitioners from the industry and the regulatory community who bring deep domain knowledge to help our clients drive business change and address the most pressing compliance, regulatory, and operational challenges. We provide data-driven, technology-enabled advisory and consulting, implementation, staffing and managed services solutions to the regulatory compliance, risk, financial crimes, and capital markets functions of our clients. Founded in 2005, Treliant is headquartered in Washington, DC, with offices across the United States, London, Belfast, and Łódź, Poland. For more information visit . Responsibilities While the scope of each project may be different, your duties & responsibilities may include: Design and implement Databricks-based solutions for managing, processing, and analyzing large datasets within the financial services sector. Collaborate with cross-functional teams (data scientists, analysts, business stakeholders) to develop and optimize data pipelines, workflows, and data models. Guide and support the migration of legacy systems to Databricks, ensuring seamless transitions from legacy to cloud-based environments. Ensure data integrity, security, and compliance with financial industry regulations. Build and optimize ETL processes using Databricks, Spark, and other data processing tools. Implement data governance best practices within the Databricks environment, including data quality, access controls, and audit logging. Develop real-time data solutions and integrate Databricks with other data platforms (e.g., data lakes, cloud storage, and data warehouses) to ensure seamless data flow. Optimize performance for large-scale data operations, focusing on scalability, efficiency, and cost-effectiveness. Qualifications Strong educational background - Degree in a relevant field. 2+ years of experience working with Databricks in a production environment. Strong background in ETL/ELT pipeline design and implementation within Databricks. Proficiency in SQL, Python, and PySpark for data processing and analysis. Experience with streaming technologies such as Kafka for real-time data processing. Experience in data migration and integration for data warehouses, including cross-business unit delivery. Strong understanding of data governance, security, and compliance standards in financial services. Knowledge of reference data, including counterparty and business hierarchy data. Experience with financial products (e.g., cashflow forecasting, liquidity management, securities) and regulatory reporting in financial services. Excellent problem-solving, leadership, and communication skills for collaborating with teams and explaining technical concepts to non-technical stakeholders. Benefits If you want to be part of a dynamic team of professionals, we invite you to join the team at Treliant. We invest in people, and challenge you to advance your career while achieving your aspirations and goals. Here at Treliant, we pride ourselves on our collaborative team culture, where we embrace diversity of thought and innovation. Career Development - We put an emphasis on personal and professional growth by providing all the training you'll need to become a highly skilled Treliant consultant. Programs cover Finance, Regulatory, Technology, and Operational aspects of investment banking. Clients - As a Treliant consultant, you will be working with some of the top clients in the financial services marketplace such as top tier Investment Banks. Our roles place you at the cutting edge of the projects on which you'll be working, and giving you the opportunity to learn from, work with and build relationships with the very best within those companies. Rewards - Treliant offers our permanent staff an excellent total rewards package, including competitive base salary, incentive schemes, flexible healthcare coverage and our company pension scheme. Core Values - Whether you are a Client or an employee, Treliant wants the best for you. All our relationships are based on our Core Values: Deliver Excellence, Constantly Innovate, Treasure Diversity, Be Nimble, Listen First, and Develop our People. Right to Work Treliant is not in the position to provide sponsorship for this current position and so applicants must be able to work in the United Kingdom without requiring sponsorship.
May 23, 2025
Full time
Overview We are looking for Databricks Engineers from a consulting, investment banking or financial services backgrounds to add to our future Talent Pool community. If you wish to be considered for any future roles we have within this area, please share your CV with us. Treliant is a global consulting firm serving banks, mortgage originators and servicers, FinTechs, and other companies providing financial services. We are led by practitioners from the industry and the regulatory community who bring deep domain knowledge to help our clients drive business change and address the most pressing compliance, regulatory, and operational challenges. We provide data-driven, technology-enabled advisory and consulting, implementation, staffing and managed services solutions to the regulatory compliance, risk, financial crimes, and capital markets functions of our clients. Founded in 2005, Treliant is headquartered in Washington, DC, with offices across the United States, London, Belfast, and Łódź, Poland. For more information visit . Responsibilities While the scope of each project may be different, your duties & responsibilities may include: Design and implement Databricks-based solutions for managing, processing, and analyzing large datasets within the financial services sector. Collaborate with cross-functional teams (data scientists, analysts, business stakeholders) to develop and optimize data pipelines, workflows, and data models. Guide and support the migration of legacy systems to Databricks, ensuring seamless transitions from legacy to cloud-based environments. Ensure data integrity, security, and compliance with financial industry regulations. Build and optimize ETL processes using Databricks, Spark, and other data processing tools. Implement data governance best practices within the Databricks environment, including data quality, access controls, and audit logging. Develop real-time data solutions and integrate Databricks with other data platforms (e.g., data lakes, cloud storage, and data warehouses) to ensure seamless data flow. Optimize performance for large-scale data operations, focusing on scalability, efficiency, and cost-effectiveness. Qualifications Strong educational background - Degree in a relevant field. 2+ years of experience working with Databricks in a production environment. Strong background in ETL/ELT pipeline design and implementation within Databricks. Proficiency in SQL, Python, and PySpark for data processing and analysis. Experience with streaming technologies such as Kafka for real-time data processing. Experience in data migration and integration for data warehouses, including cross-business unit delivery. Strong understanding of data governance, security, and compliance standards in financial services. Knowledge of reference data, including counterparty and business hierarchy data. Experience with financial products (e.g., cashflow forecasting, liquidity management, securities) and regulatory reporting in financial services. Excellent problem-solving, leadership, and communication skills for collaborating with teams and explaining technical concepts to non-technical stakeholders. Benefits If you want to be part of a dynamic team of professionals, we invite you to join the team at Treliant. We invest in people, and challenge you to advance your career while achieving your aspirations and goals. Here at Treliant, we pride ourselves on our collaborative team culture, where we embrace diversity of thought and innovation. Career Development - We put an emphasis on personal and professional growth by providing all the training you'll need to become a highly skilled Treliant consultant. Programs cover Finance, Regulatory, Technology, and Operational aspects of investment banking. Clients - As a Treliant consultant, you will be working with some of the top clients in the financial services marketplace such as top tier Investment Banks. Our roles place you at the cutting edge of the projects on which you'll be working, and giving you the opportunity to learn from, work with and build relationships with the very best within those companies. Rewards - Treliant offers our permanent staff an excellent total rewards package, including competitive base salary, incentive schemes, flexible healthcare coverage and our company pension scheme. Core Values - Whether you are a Client or an employee, Treliant wants the best for you. All our relationships are based on our Core Values: Deliver Excellence, Constantly Innovate, Treasure Diversity, Be Nimble, Listen First, and Develop our People. Right to Work Treliant is not in the position to provide sponsorship for this current position and so applicants must be able to work in the United Kingdom without requiring sponsorship.
Requisition ID: R Category: Research and Sciences Location: London, London, United Kingdom Clearance Type: Security Check (SC) Telecommute: Yes - May consider hybrid teleworking for this position Travel Required: Yes, 10% of the Time Positions Available: 1 Salary: £ 51,100.00 - £76,700.00 Define Possible at Northrop Grumman UK At Northrop Grumman UK, our mission is to solve the most complex challenges by shaping the technology and solutions of tomorrow. We call it Defining Possible. This mind-set goes beyond our customer solutions; it's the foundation for your career development and the impact we have within the community. So, what's your possible? Opportunity: This is more than just a job; it's a mission. The role is for an experienced data scientist to provide technical delivery and subject matter expertise in data science and machine learning across domains relevant to our customers' missions. This technical role requires a detailed knowledge of a broad range of methods and technologies - with opportunities to work across analytics, data fusion and visualisation, data science, data engineering, machine learning and artificial intelligence - and technical leadership of project teams. Our UK Cyber & Intelligence business combines modern software development approaches with a rich heritage and experience in the Defence and security sectors. Our customers have complex and sensitive data and information requirements requiring a mission partner who quickly understands the context, delivering and sustaining a portfolio of challenging technology projects at scale and pace, supporting them through an ambitious digital transformation programme. Responsibilities: Provide technical leadership for a team of data scientists, to ensure projects are delivered on schedule and to quality, and manage any changes to data science work packages Act as a principal design authority and reviewer for a data science work package, providing technical guidance to more junior data scientists advising on the appropriate data science and machine learning methods and tools, standards and best practice Act as a formal customer technical point of contact and understand customer expectations to ensure delivery content and styles matches Have frequent customer contact; build effective relationships and facilitate collaboration between stakeholders with diverse objectives Represent the organisation by converting customer problems into potential solutions and opportunities, and work with account managers to develop opportunities into propositions, aligning with the current account strategy Support the production of technical sections of bids, proposals and studies Benefits: We can offer you a range of flexible and hybrid working options to suit you, including optional compressed working schedule with every other Friday off. Our benefits include private health care, career development opportunities and performance bonuses. For a comprehensive list of benefits, speak to our recruitment team. We are looking for: We are particularly interested in candidates with experience in ONE of the following: Neuromorphic Computing, Spiking Neural Networks and event-based event monitoring/sparse data. Or: Advanced statistics and experience operationalising academic research Security clearance: You must be able to gain and maintain the relevant UK Government security clearance in line with the job role (SC). Our requirement team is on hand to answer any questions and we will guide you through the process. Why join us? A mission to believe in - Every day we contribute to building a more secure and connected world, expanding our reach from land, sea, and air to space and cyberspace. From engineering data and intelligence solutions to developing maritime navigation and control systems and innovating command and control systems for the UK and NATO, what we do together matters. A place to belong and thrive - Every voice matters at our table meaning you can bring your authentic self to work. From our Employee Resource Groups backed by thousands of employees to sponsoring Cheltenham Pride and our partnerships with Association For Black and Minority Ethnic Engineers, Forces Transition Group, Mind, and Women in Defence - we are passionate about growing and supporting our inclusive community where everyone can belong. Your career, your way - Shape your career journey with diverse roles, mentorship, and development opportunities that fuel your curiosity, channel your expertise and nurture your passion. Looking for flexibility? Balance your professional career with your personal life, health and wellbeing benefits, discount schemes, pension benefits and investment in your future development. Speak to our team to find the balance that's right for you. Ready to apply? Yes - Submit your application online. Your application will be reviewed by our team and we will be in touch. Possibly, I'd like to find out more about this role - Reach out to our team for more information and support. No, I don't think this role is right for me - Our extensive UK growth means we have exciting, new opportunities opening all the time. Speak to our team to discuss your career goals. Northrop Grumman is committed to hiring and retaining a diverse workforce, and encourages individuals from all backgrounds and all abilities to apply and consider becoming a part of our diverse and inclusive workforce.
May 23, 2025
Full time
Requisition ID: R Category: Research and Sciences Location: London, London, United Kingdom Clearance Type: Security Check (SC) Telecommute: Yes - May consider hybrid teleworking for this position Travel Required: Yes, 10% of the Time Positions Available: 1 Salary: £ 51,100.00 - £76,700.00 Define Possible at Northrop Grumman UK At Northrop Grumman UK, our mission is to solve the most complex challenges by shaping the technology and solutions of tomorrow. We call it Defining Possible. This mind-set goes beyond our customer solutions; it's the foundation for your career development and the impact we have within the community. So, what's your possible? Opportunity: This is more than just a job; it's a mission. The role is for an experienced data scientist to provide technical delivery and subject matter expertise in data science and machine learning across domains relevant to our customers' missions. This technical role requires a detailed knowledge of a broad range of methods and technologies - with opportunities to work across analytics, data fusion and visualisation, data science, data engineering, machine learning and artificial intelligence - and technical leadership of project teams. Our UK Cyber & Intelligence business combines modern software development approaches with a rich heritage and experience in the Defence and security sectors. Our customers have complex and sensitive data and information requirements requiring a mission partner who quickly understands the context, delivering and sustaining a portfolio of challenging technology projects at scale and pace, supporting them through an ambitious digital transformation programme. Responsibilities: Provide technical leadership for a team of data scientists, to ensure projects are delivered on schedule and to quality, and manage any changes to data science work packages Act as a principal design authority and reviewer for a data science work package, providing technical guidance to more junior data scientists advising on the appropriate data science and machine learning methods and tools, standards and best practice Act as a formal customer technical point of contact and understand customer expectations to ensure delivery content and styles matches Have frequent customer contact; build effective relationships and facilitate collaboration between stakeholders with diverse objectives Represent the organisation by converting customer problems into potential solutions and opportunities, and work with account managers to develop opportunities into propositions, aligning with the current account strategy Support the production of technical sections of bids, proposals and studies Benefits: We can offer you a range of flexible and hybrid working options to suit you, including optional compressed working schedule with every other Friday off. Our benefits include private health care, career development opportunities and performance bonuses. For a comprehensive list of benefits, speak to our recruitment team. We are looking for: We are particularly interested in candidates with experience in ONE of the following: Neuromorphic Computing, Spiking Neural Networks and event-based event monitoring/sparse data. Or: Advanced statistics and experience operationalising academic research Security clearance: You must be able to gain and maintain the relevant UK Government security clearance in line with the job role (SC). Our requirement team is on hand to answer any questions and we will guide you through the process. Why join us? A mission to believe in - Every day we contribute to building a more secure and connected world, expanding our reach from land, sea, and air to space and cyberspace. From engineering data and intelligence solutions to developing maritime navigation and control systems and innovating command and control systems for the UK and NATO, what we do together matters. A place to belong and thrive - Every voice matters at our table meaning you can bring your authentic self to work. From our Employee Resource Groups backed by thousands of employees to sponsoring Cheltenham Pride and our partnerships with Association For Black and Minority Ethnic Engineers, Forces Transition Group, Mind, and Women in Defence - we are passionate about growing and supporting our inclusive community where everyone can belong. Your career, your way - Shape your career journey with diverse roles, mentorship, and development opportunities that fuel your curiosity, channel your expertise and nurture your passion. Looking for flexibility? Balance your professional career with your personal life, health and wellbeing benefits, discount schemes, pension benefits and investment in your future development. Speak to our team to find the balance that's right for you. Ready to apply? Yes - Submit your application online. Your application will be reviewed by our team and we will be in touch. Possibly, I'd like to find out more about this role - Reach out to our team for more information and support. No, I don't think this role is right for me - Our extensive UK growth means we have exciting, new opportunities opening all the time. Speak to our team to discuss your career goals. Northrop Grumman is committed to hiring and retaining a diverse workforce, and encourages individuals from all backgrounds and all abilities to apply and consider becoming a part of our diverse and inclusive workforce.
Job Band Job number 21462 Principal Senior Data Scientist - NLP Salary range: Up to £118,000 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights. Contract type: permanent contract Location: London or Salford based Our comprehensive benefits package includes: An employer pension contribution of up to 10% 26 days' annual leave (based on full time hours) + bank holidays and the option to buy/sell additional days Contributory lifestyle benefit options including discounts at hundreds of retailers, cycle to work scheme, discounted gym memberships and healthcare schemes Employee assistance and well-being programmes Learning and development tailored to your role - this could include industry recognised qualifications, coaching and mentoring An inclusive and diverse environment with opportunities to join staff networks including: Women's Network, National Disability Networks and many more. Family friendly flexible working arrangements, such as hybrid working, job sharing, flexitime and compressed hours can be requested. We welcome candidates from all backgrounds and especially welcome individuals from underrepresented groups. If you require any reasonable adjustments at any time, please let us know by contacting us with the job reference in the subject. Introduction BBC R&D's AI Research Applied Area is focused on the use of Machine Learning and Artificial Intelligence across the BBC. AI Research works closely with other BBC R&D Applied Research Areas, BBC Product and Technology Groups and senior business stakeholders across the BBC to accelerate Machine Learning based innovation. Reporting to the Head of AI Research, the Senior Principal Data Scientist will lead a team of machine learning researchers focusing on natural language processing. As a Senior Principal Data Scientist, you will play a key role in driving technical excellence and innovation. You will lead a team of machine learning scientists, providing mentorship and technical guidance while ensuring that the team's work aligns with business objectives. This is a hands-on role that involves active hands-on contribution. Interview process HackerRank test for initial screening Machine Learning system design interview Machine Learning breadth and depth interview BBC culture fit and values alignment interview Responsibilities Provide technical leadership for projects involving fine tuning / alignment of large language models Lead the design and development of scalable generative language and multimodal models and algorithms. Mentor and guide a team of individual contributors, fostering a culture of excellence and continuous improvement. Set clear expectations and create a positive work environment, collaborating closely with engineering and management teams. Contribute to the AI Research Team's portfolio by publishing novel research in top-tier journals and conferences. Are you the right candidate? Ph.D. in Machine Learning, Computer Science or a related field. 7+ years of experience in machine learning, with a focus on NLP. Proven track record of research excellence and innovation in computer vision or NLP. Deep understanding of machine learning systems, from concept through to deployment, with the ability to communicate effectively to both technical and non-technical stakeholders. Proficiency with machine learning frameworks, such as PyTorch or TensorFlow. Strong expertise in deep learning algorithms, model architectures, and the AI development lifecycle. Hands-on experience with the latest technologies and models in NLP. Strong programming skills in Python and familiarity with software development best practices. Excellent verbal and written communication skills. Passion for innovation. About the BBC The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC for different reasons and they will be given priority consideration ahead of other applicants. Priority consideration means for those employees seeking redeployment their application will be considered alongside anyone else at risk of redundancy, prior to any individuals being considered who are not at risk. We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviours. Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential. We want to attract the broadest range of talented people to be part of the BBC - whether that's to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise. To find out more about Diversity and Inclusion at the BBC, please click here. Company: BBC Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Language Modeling , Machine Learning , Natural Language Processing , NLP , United Kingdom
May 23, 2025
Full time
Job Band Job number 21462 Principal Senior Data Scientist - NLP Salary range: Up to £118,000 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights. Contract type: permanent contract Location: London or Salford based Our comprehensive benefits package includes: An employer pension contribution of up to 10% 26 days' annual leave (based on full time hours) + bank holidays and the option to buy/sell additional days Contributory lifestyle benefit options including discounts at hundreds of retailers, cycle to work scheme, discounted gym memberships and healthcare schemes Employee assistance and well-being programmes Learning and development tailored to your role - this could include industry recognised qualifications, coaching and mentoring An inclusive and diverse environment with opportunities to join staff networks including: Women's Network, National Disability Networks and many more. Family friendly flexible working arrangements, such as hybrid working, job sharing, flexitime and compressed hours can be requested. We welcome candidates from all backgrounds and especially welcome individuals from underrepresented groups. If you require any reasonable adjustments at any time, please let us know by contacting us with the job reference in the subject. Introduction BBC R&D's AI Research Applied Area is focused on the use of Machine Learning and Artificial Intelligence across the BBC. AI Research works closely with other BBC R&D Applied Research Areas, BBC Product and Technology Groups and senior business stakeholders across the BBC to accelerate Machine Learning based innovation. Reporting to the Head of AI Research, the Senior Principal Data Scientist will lead a team of machine learning researchers focusing on natural language processing. As a Senior Principal Data Scientist, you will play a key role in driving technical excellence and innovation. You will lead a team of machine learning scientists, providing mentorship and technical guidance while ensuring that the team's work aligns with business objectives. This is a hands-on role that involves active hands-on contribution. Interview process HackerRank test for initial screening Machine Learning system design interview Machine Learning breadth and depth interview BBC culture fit and values alignment interview Responsibilities Provide technical leadership for projects involving fine tuning / alignment of large language models Lead the design and development of scalable generative language and multimodal models and algorithms. Mentor and guide a team of individual contributors, fostering a culture of excellence and continuous improvement. Set clear expectations and create a positive work environment, collaborating closely with engineering and management teams. Contribute to the AI Research Team's portfolio by publishing novel research in top-tier journals and conferences. Are you the right candidate? Ph.D. in Machine Learning, Computer Science or a related field. 7+ years of experience in machine learning, with a focus on NLP. Proven track record of research excellence and innovation in computer vision or NLP. Deep understanding of machine learning systems, from concept through to deployment, with the ability to communicate effectively to both technical and non-technical stakeholders. Proficiency with machine learning frameworks, such as PyTorch or TensorFlow. Strong expertise in deep learning algorithms, model architectures, and the AI development lifecycle. Hands-on experience with the latest technologies and models in NLP. Strong programming skills in Python and familiarity with software development best practices. Excellent verbal and written communication skills. Passion for innovation. About the BBC The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC for different reasons and they will be given priority consideration ahead of other applicants. Priority consideration means for those employees seeking redeployment their application will be considered alongside anyone else at risk of redundancy, prior to any individuals being considered who are not at risk. We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviours. Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential. We want to attract the broadest range of talented people to be part of the BBC - whether that's to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise. To find out more about Diversity and Inclusion at the BBC, please click here. Company: BBC Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Language Modeling , Machine Learning , Natural Language Processing , NLP , United Kingdom
We are excited to partner with a leading insurer in recruiting an Actuary / Data Scientist to join their growing Analytics team. This role offers the opportunity to develop advanced analytics tools, enhance reserving and claims insights, and collaborate with key stakeholders across the business. Key Responsibilities: Advanced Analytics & Innovation: Develop data-driven tools to support core business functions, including underwriting, pricing, reserving, and claims. Stakeholder Collaboration: Build strong relationships across departments to understand business challenges and provide innovative solutions. Machine Learning & Automation: Lead the development of AI/ML prototypes and proof of concepts to drive innovation and efficiency. Strategic Impact: Align initiatives with the company's enterprise data strategy and broader business objectives. Data-Driven Decision Making: Effectively communicate insights to both technical and non-technical stakeholders to support informed business decisions. If you're looking to apply cutting-edge analytics in a high-impact actuarial role, please apply.
May 23, 2025
Full time
We are excited to partner with a leading insurer in recruiting an Actuary / Data Scientist to join their growing Analytics team. This role offers the opportunity to develop advanced analytics tools, enhance reserving and claims insights, and collaborate with key stakeholders across the business. Key Responsibilities: Advanced Analytics & Innovation: Develop data-driven tools to support core business functions, including underwriting, pricing, reserving, and claims. Stakeholder Collaboration: Build strong relationships across departments to understand business challenges and provide innovative solutions. Machine Learning & Automation: Lead the development of AI/ML prototypes and proof of concepts to drive innovation and efficiency. Strategic Impact: Align initiatives with the company's enterprise data strategy and broader business objectives. Data-Driven Decision Making: Effectively communicate insights to both technical and non-technical stakeholders to support informed business decisions. If you're looking to apply cutting-edge analytics in a high-impact actuarial role, please apply.
Applied Data Scientist - 12 months Contract dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. We are looking for an Applied Data Scientist for a 12 month contract who expects more from their career. It's a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. What we expect from you: Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have, Pyspark is recommended) Analytical Techniques and Technology Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact Logical thinking and problem solving Strong communication skills Statistical Modelling and experience of applying data science into client problems What you can expect from us: We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don't just talk about diversity and inclusion. We live it every day - with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working: At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work/life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
May 23, 2025
Full time
Applied Data Scientist - 12 months Contract dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. We are looking for an Applied Data Scientist for a 12 month contract who expects more from their career. It's a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. What we expect from you: Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have, Pyspark is recommended) Analytical Techniques and Technology Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact Logical thinking and problem solving Strong communication skills Statistical Modelling and experience of applying data science into client problems What you can expect from us: We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don't just talk about diversity and inclusion. We live it every day - with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working: At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work/life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
"Natural Language Processing - Computer activity in which computers are entailed to analyse, understand, alter or generate natural language" This is a concept that has been evolving since the 1950's and is now being utilised by some of the most exciting cutting-edge companies in the world. My current client is looking for someone with a passion for Natural Language Processing (NLP) as well as in-depth technical knowledge and ability within this space. They are an innovative start-up based in London focusing on NLP, Machine Learning, and Text Mining. They are developing their own active learning algorithms and IP and are looking for someone to lead the engineering. Company: Revolution Technology Qualifications: Skills required: Computer Scientist Algorithm Implementation Machine Learning GoLang/C/C++/Redis Multi-language text processing How to apply: Please mention NLP People as a source when applying.
May 23, 2025
Full time
"Natural Language Processing - Computer activity in which computers are entailed to analyse, understand, alter or generate natural language" This is a concept that has been evolving since the 1950's and is now being utilised by some of the most exciting cutting-edge companies in the world. My current client is looking for someone with a passion for Natural Language Processing (NLP) as well as in-depth technical knowledge and ability within this space. They are an innovative start-up based in London focusing on NLP, Machine Learning, and Text Mining. They are developing their own active learning algorithms and IP and are looking for someone to lead the engineering. Company: Revolution Technology Qualifications: Skills required: Computer Scientist Algorithm Implementation Machine Learning GoLang/C/C++/Redis Multi-language text processing How to apply: Please mention NLP People as a source when applying.
Galytix (GX) is delivering on the promise of AI. GX has built specialised knowledge AI assistants for the banking and insurance industry. Our assistants are fed by sector-specific data and knowledge and easily adaptable through ontology layers to reflect institution-specific rules. GX AI assistants are designed for Individual Investors, Credit and Claims professionals. Our assistants are being used right now in global financial institutions. Proven, trusted, non-hallucinating, our assistants are empowering financial professionals and delivering 10x improvements by supporting them in their day-to-day tasks. Responsibilities: Contributing by processing, analyzing, and synthesizing information applied to a live client problem at scale. Developing machine learning models to extract insights from both structured and unstructured data in areas such as NLP and Computer Vision. The role requires skills in both prototyping and developing individual solutions but also implementation and integration in a production environment. Desired Skills: A university degree in Mathematics, Computer Science, Engineering, Physics or similar. 6+ years of relevant experience in several areas of Data Mining, Classical Machine Learning, Deep Learning, NLP and Computer Vision. Experience with Large Scale/ Big Data technology, such as Hadoop, Spark, Hive, Impala, PrestoDb. Hands-on capability developing ML models using open-source frameworks in Python and R and applying them on real client use cases. Proficient in one of the deep learning stacks such as PyTorch or Tensorflow. Working knowledge of parallelisation and async paradigms in Python, Spark, Dask, Apache Ray. An awareness and interest in economic, financial and general business concepts and terminology. Excellent written and verbal command of English. Strong problem-solving, analytical and quantitative skills. A professional attitude and service orientation with the ability to work with our international teams. Experience in leading a team is an advantage. Why You Do Not Want to Miss This Career Opportunity: We are a mission-driven firm that is revolutionising the Insurance and Banking industry. We are not aiming to incrementally push the current boundaries; we redefine them. Customer-centric organisation with innovation at the core of everything we do. Capitalize on an unparalleled career progression opportunity. Work closely with senior leaders who have individually served several CEOs in Fortune 100 companies globally. Develop highly valued skills and build connections in the industry by working with top-tier Insurance and Banking clients on their mission-critical problems and deploying solutions integrated into their day-to-day workflows and processes.
May 23, 2025
Full time
Galytix (GX) is delivering on the promise of AI. GX has built specialised knowledge AI assistants for the banking and insurance industry. Our assistants are fed by sector-specific data and knowledge and easily adaptable through ontology layers to reflect institution-specific rules. GX AI assistants are designed for Individual Investors, Credit and Claims professionals. Our assistants are being used right now in global financial institutions. Proven, trusted, non-hallucinating, our assistants are empowering financial professionals and delivering 10x improvements by supporting them in their day-to-day tasks. Responsibilities: Contributing by processing, analyzing, and synthesizing information applied to a live client problem at scale. Developing machine learning models to extract insights from both structured and unstructured data in areas such as NLP and Computer Vision. The role requires skills in both prototyping and developing individual solutions but also implementation and integration in a production environment. Desired Skills: A university degree in Mathematics, Computer Science, Engineering, Physics or similar. 6+ years of relevant experience in several areas of Data Mining, Classical Machine Learning, Deep Learning, NLP and Computer Vision. Experience with Large Scale/ Big Data technology, such as Hadoop, Spark, Hive, Impala, PrestoDb. Hands-on capability developing ML models using open-source frameworks in Python and R and applying them on real client use cases. Proficient in one of the deep learning stacks such as PyTorch or Tensorflow. Working knowledge of parallelisation and async paradigms in Python, Spark, Dask, Apache Ray. An awareness and interest in economic, financial and general business concepts and terminology. Excellent written and verbal command of English. Strong problem-solving, analytical and quantitative skills. A professional attitude and service orientation with the ability to work with our international teams. Experience in leading a team is an advantage. Why You Do Not Want to Miss This Career Opportunity: We are a mission-driven firm that is revolutionising the Insurance and Banking industry. We are not aiming to incrementally push the current boundaries; we redefine them. Customer-centric organisation with innovation at the core of everything we do. Capitalize on an unparalleled career progression opportunity. Work closely with senior leaders who have individually served several CEOs in Fortune 100 companies globally. Develop highly valued skills and build connections in the industry by working with top-tier Insurance and Banking clients on their mission-critical problems and deploying solutions integrated into their day-to-day workflows and processes.
The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The role We are looking for an experienced credit risk manager with a strong analytical background, to lead the team responsible for managing portfolio credit risk for our lending portfolio in the UK. You will work closely with the Chief Credit Officer, our data scientists, the Capital Markets team, and teams from across the business. You will ensure that credit loss rates, and the credit risk profile, of our UK portfolio are effectively managed. Key responsibilities of this critical role include: Monitoring credit performance on aggregate and by segment. Proactively driving corrective action where required and enhancing the monitoring framework and infrastructure. Providing a clear summary of credit loss rates, and credit risks, to the Risk Committee. Supporting the Chief Credit Officer in the development and management of the business's credit risk appetite. Supporting the development of iwoca's Credit Policy, and monitoring adherence to it. Producing analysis of credit loss rates and credit risks that support the development of iwoca's funding strategy. This includes input to meetings with debt and equity investors, and analysis that ensures funding facility performance triggers and concentration limits are set appropriately. Providing credit risk expertise to multi-disciplinary projects within the wider team and business stakeholders. Setting and managing the agenda for your team aligned to the broader business strategy. Effectively managing the work conducted by your team to maximise delivery. Building the capabilities of your team with a strong focus on coaching and professional development. The team: You'll join the Credit Risk team, whose primary focus is managing the credit risk profile of our lending portfolios to support iwoca's broader business goals and mission. The requirements Strong analytical background: a degree in Mathematics, Physics, Engineering, or similar quantitative field; or equivalent experience. 3+ years experience in credit risk at a traditional or Fintech lender. Passion for analytical problem-solving, with a strong track record in developing conceptual frameworks and technical execution. This will include the ability to personally conduct data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statistical modelling techniques is a plus. Strong communication, stakeholder management, and people management skills. Ability to bring structure to own and joint areas of work to rapidly drive results in a dynamic working environment. The salary We expect to pay from £80,000 to £90,000 for this role, but we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we look to hire smart, passionate, humble individuals with a growth mindset. We prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. Our friendly and inclusive environment, combined with our flexible work policies, ensures that you'll have the perfect balance between work and life, empowering you to thrive both personally and professionally. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, Berlin and Frankfurt with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits (depending on your location) Medical insurance from Vitality, including discounted gym membership. 25 days' holiday, an extra day off for your birthday, and the option to buy or sell an additional 5 days of annual leave. Instant access to emotional and mental health support with our partner, Spill. Pension and share options. Generous maternity and paternity leave. A nursery tax benefit scheme to help you save money. Paid volunteering day to support your chosen charity. Unlimited unpaid leave. One-month fully paid sabbatical after 4 years. Cycle-to-work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain and further afield. Private GP service for you, your partner, and your dependents. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse if you want to learn to code. Useful links: iwoca benefits & policies Interview welcome pack
May 23, 2025
Full time
The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The role We are looking for an experienced credit risk manager with a strong analytical background, to lead the team responsible for managing portfolio credit risk for our lending portfolio in the UK. You will work closely with the Chief Credit Officer, our data scientists, the Capital Markets team, and teams from across the business. You will ensure that credit loss rates, and the credit risk profile, of our UK portfolio are effectively managed. Key responsibilities of this critical role include: Monitoring credit performance on aggregate and by segment. Proactively driving corrective action where required and enhancing the monitoring framework and infrastructure. Providing a clear summary of credit loss rates, and credit risks, to the Risk Committee. Supporting the Chief Credit Officer in the development and management of the business's credit risk appetite. Supporting the development of iwoca's Credit Policy, and monitoring adherence to it. Producing analysis of credit loss rates and credit risks that support the development of iwoca's funding strategy. This includes input to meetings with debt and equity investors, and analysis that ensures funding facility performance triggers and concentration limits are set appropriately. Providing credit risk expertise to multi-disciplinary projects within the wider team and business stakeholders. Setting and managing the agenda for your team aligned to the broader business strategy. Effectively managing the work conducted by your team to maximise delivery. Building the capabilities of your team with a strong focus on coaching and professional development. The team: You'll join the Credit Risk team, whose primary focus is managing the credit risk profile of our lending portfolios to support iwoca's broader business goals and mission. The requirements Strong analytical background: a degree in Mathematics, Physics, Engineering, or similar quantitative field; or equivalent experience. 3+ years experience in credit risk at a traditional or Fintech lender. Passion for analytical problem-solving, with a strong track record in developing conceptual frameworks and technical execution. This will include the ability to personally conduct data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statistical modelling techniques is a plus. Strong communication, stakeholder management, and people management skills. Ability to bring structure to own and joint areas of work to rapidly drive results in a dynamic working environment. The salary We expect to pay from £80,000 to £90,000 for this role, but we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we look to hire smart, passionate, humble individuals with a growth mindset. We prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. Our friendly and inclusive environment, combined with our flexible work policies, ensures that you'll have the perfect balance between work and life, empowering you to thrive both personally and professionally. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, Berlin and Frankfurt with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits (depending on your location) Medical insurance from Vitality, including discounted gym membership. 25 days' holiday, an extra day off for your birthday, and the option to buy or sell an additional 5 days of annual leave. Instant access to emotional and mental health support with our partner, Spill. Pension and share options. Generous maternity and paternity leave. A nursery tax benefit scheme to help you save money. Paid volunteering day to support your chosen charity. Unlimited unpaid leave. One-month fully paid sabbatical after 4 years. Cycle-to-work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain and further afield. Private GP service for you, your partner, and your dependents. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse if you want to learn to code. Useful links: iwoca benefits & policies Interview welcome pack
Artificial Intelligence Engineer / Data Scientist £50k - £90k dependant on experience, bonus, good benefits. Flexible working location opportunity. This role may suit individuals who have previously held the following role titles: Data Engineer, Data Architect, Big Data Consultant, Data Scientist, Data Modeller, Big Data Analyst, AI Engineer. We have been asked to assist in the recruitment of AI Engineers / Data Scientists to join an innovative and growing team within the data practice of this prestigious global technology consulting firm. Our client offers excellence in career growth, professional development, and a coveted personalised benefits package. Candidates must ideally have UK security clearance and be fully flexible on working location. The successful engineer will be a key member within a team designing modern analytical data solutions, engaging in the full life cycle of projects. This will be a diverse role with an exciting variety of work. Key Skills We are recruiting at various levels (in the above salary brackets), so we are not expecting candidates to be experienced in all of the areas outlined below. Qualifications: AI techniques (e.g. supervised and unsupervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection). Proficiency in Python, R, or Spark to extract insights from data. Experience with Data Bricks / Data QI and SQL for accessing and processing data (PostgreSQL preferred but general SQL knowledge is more important). Familiarity with latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn). Knowledge of software engineering practices (coding practices to DS, unit testing, version control, code review). Experience with Hadoop (especially the Cloudera and Hortonworks distributions), other NoSQL (especially Neo4j and Elastic), and streaming technologies (especially Spark Streaming). Deep understanding of data manipulation/wrangling techniques. Experience using development and deployment technologies (e.g. Vagrant, Virtualbox, Jenkins, Ansible, Docker, Kubernetes). Delivering insights using visualisation tools or libraries (JavaScript preferred). Experience building and deploying solutions to Cloud (AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform). Strong interpersonal skills with the ability to work with clients to establish requirements in non-technical language. Ability to translate business requirements into plausible technical solutions for articulation to other development staff. Experience designing Data Science deliveries, planning projects, and/or leading teams. Deerfoot IT Resources Ltd is a leading specialist recruitment business for the IT industry. We will always email you a full role specification, name our client, and wait for your email authorisation before we send your CV to this organisation. Deerfoot IT: Est. 1997. REC member. ISO certified. Tagged as: Industry , Machine Learning , United Kingdom
May 23, 2025
Full time
Artificial Intelligence Engineer / Data Scientist £50k - £90k dependant on experience, bonus, good benefits. Flexible working location opportunity. This role may suit individuals who have previously held the following role titles: Data Engineer, Data Architect, Big Data Consultant, Data Scientist, Data Modeller, Big Data Analyst, AI Engineer. We have been asked to assist in the recruitment of AI Engineers / Data Scientists to join an innovative and growing team within the data practice of this prestigious global technology consulting firm. Our client offers excellence in career growth, professional development, and a coveted personalised benefits package. Candidates must ideally have UK security clearance and be fully flexible on working location. The successful engineer will be a key member within a team designing modern analytical data solutions, engaging in the full life cycle of projects. This will be a diverse role with an exciting variety of work. Key Skills We are recruiting at various levels (in the above salary brackets), so we are not expecting candidates to be experienced in all of the areas outlined below. Qualifications: AI techniques (e.g. supervised and unsupervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection). Proficiency in Python, R, or Spark to extract insights from data. Experience with Data Bricks / Data QI and SQL for accessing and processing data (PostgreSQL preferred but general SQL knowledge is more important). Familiarity with latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn). Knowledge of software engineering practices (coding practices to DS, unit testing, version control, code review). Experience with Hadoop (especially the Cloudera and Hortonworks distributions), other NoSQL (especially Neo4j and Elastic), and streaming technologies (especially Spark Streaming). Deep understanding of data manipulation/wrangling techniques. Experience using development and deployment technologies (e.g. Vagrant, Virtualbox, Jenkins, Ansible, Docker, Kubernetes). Delivering insights using visualisation tools or libraries (JavaScript preferred). Experience building and deploying solutions to Cloud (AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform). Strong interpersonal skills with the ability to work with clients to establish requirements in non-technical language. Ability to translate business requirements into plausible technical solutions for articulation to other development staff. Experience designing Data Science deliveries, planning projects, and/or leading teams. Deerfoot IT Resources Ltd is a leading specialist recruitment business for the IT industry. We will always email you a full role specification, name our client, and wait for your email authorisation before we send your CV to this organisation. Deerfoot IT: Est. 1997. REC member. ISO certified. Tagged as: Industry , Machine Learning , United Kingdom
Company mission In the future, almost everything we consume will simply materialise on our doorsteps - what we call "e-commerce" today will simply be "commerce" tomorrow. But if we continue on today's trajectory, the growth of e-commerce risks damaging the environment, alienating our communities, and straining the bottom-line for small businesses. Relay is an e-commerce-native logistics network. We are built from the ground up for environmental, social, and economic sustainability. By building from the ground up we are able to entirely rethink both the middle and last mile enabling us to reduce the number of miles driven to deliver each parcel, lower carbon emissions, and lower costs, all while channelling funds to community members. At the same time, we're fixing the last broken aspect of e-commerce for consumers: delivery. As shoppers, we should have complete control over when and how we receive our purchases, and we should be able to return unwanted items as easily as we ordered them. That's why whenever you buy from a merchant powered by Relay, you'll be able to reschedule your delivery at any time. And if you don't like what you ordered, at the tap of a button we'll send someone to pick it up. To orchestrate this complex ballet, Relay relies on a wide range of technologies, from advanced routing and planning to sophisticated user experiences that guide our team members on the ground. About the role As a highly operational business, we rely on data science to power nearly every part of our network - from forecasting parcel volumes, to pricing and planning courier capacity, to understanding and improving the economics of our operation. We're hiring a Senior Data Scientist to help us optimise our middle mile operation and model the growth, performance, and economics of our pitstop network. This role spans across domains, touching forecasting, operations, and commercial planning, and is ideal for someone who thrives on applying models in ambiguous, real-world environments. You'll work with squads across routing, sortation, first mile, last mile, marketplace, and commercial functions; you'll focus on middle mile optimisation, pitstop expansion, and understanding the long-term financial value of our physical network . You'll also bring together data from across the business, often fragmented or messy, and use smart tooling, automation, and AI to transform it into usable insight. You'll need to be hands-on and pragmatic; it's a high-impact role with strong exposure to leadership and decision-making across the business. What you'll do Model and improve the cost, quality, and efficiency of middle mile operations, including vehicle use, timings, and handover reliability Partner with marketplace and ops teams to optimise driver acquisition, targeting, and pricing for the middle mile Optimise pitstop expansion in line with volume growth, capacity, and service levels Model pitstop-level LTV and unit economics to support capital investment and performance tracking Collaborate with other data scientists to support geo-sequencing, zone design, and integration with routing models In partnership with MLE and Staff Data Scientists, orchestrate and automate model pipelines in production Act as a thought partner for operations, commercial, and finance leads - bringing a scientific lens to planning and network growth What we're looking for 6+ years of experience in data science, with a strong record of delivering models into production Deep experience with Python and SQL Strong foundations in statistics and probability, with experience applying them in operational and/or financial contexts Comfort working in ambiguity and navigating messy or incomplete data Effective communication skills - you can explain technical results clearly to non-technical audiences Comfort working across functions and disciplines to drive impact Nice to haves Experience working in logistics, marketplaces, or similarly complex operational businesses Exposure to business planning, pricing, or commercial decision-making; experience with forecasting, scenario, and financial modelling (including partnering with Finance and Commercial teams and their models (in Excel, Google Sheets Familiarity with geospatial data Experience in fast-scaling startups or operational teams We're flexible on experience - if you're an experienced and pragmatic data scientist, with a track record of driving impact, we'd love to hear from you. What we offer 25 days annual leave per year (plus bank holidays). Equity package. Bupa Global: Business Premier Health Plan - Comprehensive global health insurance with direct access to specialists, dental care, mental health support and more. Contributory pension scheme. Hybrid working Free membership of the gym in our co-working space in London. Cycle-to-work scheme A culture of learning and growth, where you're encouraged to take ownership from day one. Plenty of team socials and events - from pottery painting to life-size Monopoly and escape rooms
May 23, 2025
Full time
Company mission In the future, almost everything we consume will simply materialise on our doorsteps - what we call "e-commerce" today will simply be "commerce" tomorrow. But if we continue on today's trajectory, the growth of e-commerce risks damaging the environment, alienating our communities, and straining the bottom-line for small businesses. Relay is an e-commerce-native logistics network. We are built from the ground up for environmental, social, and economic sustainability. By building from the ground up we are able to entirely rethink both the middle and last mile enabling us to reduce the number of miles driven to deliver each parcel, lower carbon emissions, and lower costs, all while channelling funds to community members. At the same time, we're fixing the last broken aspect of e-commerce for consumers: delivery. As shoppers, we should have complete control over when and how we receive our purchases, and we should be able to return unwanted items as easily as we ordered them. That's why whenever you buy from a merchant powered by Relay, you'll be able to reschedule your delivery at any time. And if you don't like what you ordered, at the tap of a button we'll send someone to pick it up. To orchestrate this complex ballet, Relay relies on a wide range of technologies, from advanced routing and planning to sophisticated user experiences that guide our team members on the ground. About the role As a highly operational business, we rely on data science to power nearly every part of our network - from forecasting parcel volumes, to pricing and planning courier capacity, to understanding and improving the economics of our operation. We're hiring a Senior Data Scientist to help us optimise our middle mile operation and model the growth, performance, and economics of our pitstop network. This role spans across domains, touching forecasting, operations, and commercial planning, and is ideal for someone who thrives on applying models in ambiguous, real-world environments. You'll work with squads across routing, sortation, first mile, last mile, marketplace, and commercial functions; you'll focus on middle mile optimisation, pitstop expansion, and understanding the long-term financial value of our physical network . You'll also bring together data from across the business, often fragmented or messy, and use smart tooling, automation, and AI to transform it into usable insight. You'll need to be hands-on and pragmatic; it's a high-impact role with strong exposure to leadership and decision-making across the business. What you'll do Model and improve the cost, quality, and efficiency of middle mile operations, including vehicle use, timings, and handover reliability Partner with marketplace and ops teams to optimise driver acquisition, targeting, and pricing for the middle mile Optimise pitstop expansion in line with volume growth, capacity, and service levels Model pitstop-level LTV and unit economics to support capital investment and performance tracking Collaborate with other data scientists to support geo-sequencing, zone design, and integration with routing models In partnership with MLE and Staff Data Scientists, orchestrate and automate model pipelines in production Act as a thought partner for operations, commercial, and finance leads - bringing a scientific lens to planning and network growth What we're looking for 6+ years of experience in data science, with a strong record of delivering models into production Deep experience with Python and SQL Strong foundations in statistics and probability, with experience applying them in operational and/or financial contexts Comfort working in ambiguity and navigating messy or incomplete data Effective communication skills - you can explain technical results clearly to non-technical audiences Comfort working across functions and disciplines to drive impact Nice to haves Experience working in logistics, marketplaces, or similarly complex operational businesses Exposure to business planning, pricing, or commercial decision-making; experience with forecasting, scenario, and financial modelling (including partnering with Finance and Commercial teams and their models (in Excel, Google Sheets Familiarity with geospatial data Experience in fast-scaling startups or operational teams We're flexible on experience - if you're an experienced and pragmatic data scientist, with a track record of driving impact, we'd love to hear from you. What we offer 25 days annual leave per year (plus bank holidays). Equity package. Bupa Global: Business Premier Health Plan - Comprehensive global health insurance with direct access to specialists, dental care, mental health support and more. Contributory pension scheme. Hybrid working Free membership of the gym in our co-working space in London. Cycle-to-work scheme A culture of learning and growth, where you're encouraged to take ownership from day one. Plenty of team socials and events - from pottery painting to life-size Monopoly and escape rooms
Signal is looking for a specialist in Information Retrieval, Natural Language Processing, or Machine Learning who can help develop the technology needed to drive our new information service. Signal is creating a product that allows our clients to receive a feed of information based on very specific and complex requirements (e.g. "All the news related to IPOs of European technology companies"). We are building this technology using cutting-edge algorithms for different information processing tasks in collaboration with leading universities. The next steps in the business will focus on how users can discover new information by navigating through all our information and automatically generating actionable insights from it. The successful candidate will join our research team whose main goal is to analyze, implement, and experiment with different algorithms to solve or improve solutions to various challenges such as summarization, clustering, and event detection. How we work: We currently have a team of 15 people from diverse functional backgrounds (mainly developers and researchers) that work closely together to bring this project forward. We combine technology from several research fields, including machine learning, natural language processing, and information retrieval. We also work in close collaboration with several universities and encourage the publication of research results from the team in academic conferences. As an example, we have just presented an industry talk and a demonstration (which won the best demonstration award) in ECIR 2015. We are based in Second Home, a vibrant and innovative working space in the heart of London. Candidate background: A successful candidate will need to be able to propose, implement, and evaluate solutions to real-world requirements while being able to work in a team of developers and researchers. We are looking for a candidate who is ambitious, entrepreneurial, and ready to buy into the long-term vision of this company. The ideal candidate should be highly technical, have strong analytical skills, share our innovative values, and be self-motivated. Excellent communication skills, being open-minded and inquisitive, and having the desire to learn new skills are essential to thrive in our fast-paced multi-disciplinary environment. Company: Signal Qualifications: Essential skills and qualifications: MSc or PhD in a field related to Text Analytics (e.g., natural language processing, information retrieval, machine learning, or similar), or equivalent commercial experience; Detailed knowledge of one or more of the following fields: Entity Recognition and Disambiguation Concept / Topic Extraction Document Summarization Trend Detection Sentiment Analysis Substantial programming experience (preferably in a commercial environment); Clojure or similar languages (e.g., Java or Python); Software collaboration and revision control (e.g., Git or SVN). Desired skills and experiences: ElasticSearch / Kibana Cloud computing (e.g., AWS) Hadoop / Spark etc. Graph Databases Educational level: Master Degree
May 23, 2025
Full time
Signal is looking for a specialist in Information Retrieval, Natural Language Processing, or Machine Learning who can help develop the technology needed to drive our new information service. Signal is creating a product that allows our clients to receive a feed of information based on very specific and complex requirements (e.g. "All the news related to IPOs of European technology companies"). We are building this technology using cutting-edge algorithms for different information processing tasks in collaboration with leading universities. The next steps in the business will focus on how users can discover new information by navigating through all our information and automatically generating actionable insights from it. The successful candidate will join our research team whose main goal is to analyze, implement, and experiment with different algorithms to solve or improve solutions to various challenges such as summarization, clustering, and event detection. How we work: We currently have a team of 15 people from diverse functional backgrounds (mainly developers and researchers) that work closely together to bring this project forward. We combine technology from several research fields, including machine learning, natural language processing, and information retrieval. We also work in close collaboration with several universities and encourage the publication of research results from the team in academic conferences. As an example, we have just presented an industry talk and a demonstration (which won the best demonstration award) in ECIR 2015. We are based in Second Home, a vibrant and innovative working space in the heart of London. Candidate background: A successful candidate will need to be able to propose, implement, and evaluate solutions to real-world requirements while being able to work in a team of developers and researchers. We are looking for a candidate who is ambitious, entrepreneurial, and ready to buy into the long-term vision of this company. The ideal candidate should be highly technical, have strong analytical skills, share our innovative values, and be self-motivated. Excellent communication skills, being open-minded and inquisitive, and having the desire to learn new skills are essential to thrive in our fast-paced multi-disciplinary environment. Company: Signal Qualifications: Essential skills and qualifications: MSc or PhD in a field related to Text Analytics (e.g., natural language processing, information retrieval, machine learning, or similar), or equivalent commercial experience; Detailed knowledge of one or more of the following fields: Entity Recognition and Disambiguation Concept / Topic Extraction Document Summarization Trend Detection Sentiment Analysis Substantial programming experience (preferably in a commercial environment); Clojure or similar languages (e.g., Java or Python); Software collaboration and revision control (e.g., Git or SVN). Desired skills and experiences: ElasticSearch / Kibana Cloud computing (e.g., AWS) Hadoop / Spark etc. Graph Databases Educational level: Master Degree
Introduction PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimization opportunities in design and engineering. Born out of numerical physics and proven in Formula One, we help our customers radically improve their concepts and designs, transform their engineering processes and drive operational product performance. We do this in some of the most advanced and important industries of our time - including Space, Aerospace, Medical Devices, Additive Manufacturing, Electric Vehicles, Motorsport, and Renewables. Our work creates positive impact for society, be it by improving the design of artificial hearts, reducing CO2 emissions from aircraft and road vehicles, and increasing the performance of wind turbines. We are a rapidly growing company but prefer to fly under the radar to protect our customers' confidentiality. We are about to take the next leap in building out our technology platform and product offering. In this context, we are looking for a capable and enthusiastic Software Engineer to join our team. If all of this sounds exciting to you, we would love to talk (even if you don't tick all the boxes). The Role We are looking for passionate Senior software engineers to join us in building the cutting-edge platform that empowers Data Scientists, Machine Learning Engineers and Simulation Engineers to create, train, and deploy physics-informed models at PhysicsX. You'll take ownership of your work from implementation to production, ensuring quality, scalability, and observability at every step. By engaging with our Guilds and leveraging domain knowledge from end users, you'll not only refine your craft but also help shape the future of our software engineering practices. What you will do Take part in building a platform used by Data Scientists and Simulation Engineers to build, train and deploy Deep Physics Models. Work on a focused, stream-aligned and cross-functional team (back-end, front-end, design) that is empowered to make its implementation decisions towards meeting its objectives. Gather and leverage domain knowledge and experience from the Data Scientists and Simulation Engineers using your product. Lead and own initiatives with a high degree of autonomy. What you will bring to the table A passion for the evolving craft of software engineering. The ability to work collaboratively and effectively in cross-functional teams. Proficiency in both Python and/or Go. A willingness to take ownership from implementation to production, including testing, containerisation, continuous integration and delivery, authentication/authorisation, telemetry/observability/monitoring. A working understanding of messaging in event-driven systems, which implies some experience using tools such as NATS, RabbitMQ, or Kafka for example. Some experience, professional or otherwise, developing applications for Kubernetes. CKAD is a plus, but by no means a requirement. What we offer Be part of something larger: Make an impact and meaningfully shape an early-stage company. Work on some of the most exciting and important topics there are. Do something you can be proud of. Work with a fun group of colleagues that support you, challenge you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields and solve truly challenging problems in science and engineering. If you are similarly capable, caring and driven, you'll find yourself at home here. Experience a truly flat hierarchy. Voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. Work sustainably, striking the right balance between work and personal life. Receive a competitive compensation and equity package, in addition to plenty of perks such as generous vacation and parental leave, complimentary office food, as well as fun outings and events. Work in a flexible setting, at our lovely London Shoreditch office, and a good proportion from home if so desired. Get the opportunity to occasionally visit our customers' engineering sites and experience first-hand how our work is transforming their ways of working.
May 23, 2025
Full time
Introduction PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimization opportunities in design and engineering. Born out of numerical physics and proven in Formula One, we help our customers radically improve their concepts and designs, transform their engineering processes and drive operational product performance. We do this in some of the most advanced and important industries of our time - including Space, Aerospace, Medical Devices, Additive Manufacturing, Electric Vehicles, Motorsport, and Renewables. Our work creates positive impact for society, be it by improving the design of artificial hearts, reducing CO2 emissions from aircraft and road vehicles, and increasing the performance of wind turbines. We are a rapidly growing company but prefer to fly under the radar to protect our customers' confidentiality. We are about to take the next leap in building out our technology platform and product offering. In this context, we are looking for a capable and enthusiastic Software Engineer to join our team. If all of this sounds exciting to you, we would love to talk (even if you don't tick all the boxes). The Role We are looking for passionate Senior software engineers to join us in building the cutting-edge platform that empowers Data Scientists, Machine Learning Engineers and Simulation Engineers to create, train, and deploy physics-informed models at PhysicsX. You'll take ownership of your work from implementation to production, ensuring quality, scalability, and observability at every step. By engaging with our Guilds and leveraging domain knowledge from end users, you'll not only refine your craft but also help shape the future of our software engineering practices. What you will do Take part in building a platform used by Data Scientists and Simulation Engineers to build, train and deploy Deep Physics Models. Work on a focused, stream-aligned and cross-functional team (back-end, front-end, design) that is empowered to make its implementation decisions towards meeting its objectives. Gather and leverage domain knowledge and experience from the Data Scientists and Simulation Engineers using your product. Lead and own initiatives with a high degree of autonomy. What you will bring to the table A passion for the evolving craft of software engineering. The ability to work collaboratively and effectively in cross-functional teams. Proficiency in both Python and/or Go. A willingness to take ownership from implementation to production, including testing, containerisation, continuous integration and delivery, authentication/authorisation, telemetry/observability/monitoring. A working understanding of messaging in event-driven systems, which implies some experience using tools such as NATS, RabbitMQ, or Kafka for example. Some experience, professional or otherwise, developing applications for Kubernetes. CKAD is a plus, but by no means a requirement. What we offer Be part of something larger: Make an impact and meaningfully shape an early-stage company. Work on some of the most exciting and important topics there are. Do something you can be proud of. Work with a fun group of colleagues that support you, challenge you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields and solve truly challenging problems in science and engineering. If you are similarly capable, caring and driven, you'll find yourself at home here. Experience a truly flat hierarchy. Voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. Work sustainably, striking the right balance between work and personal life. Receive a competitive compensation and equity package, in addition to plenty of perks such as generous vacation and parental leave, complimentary office food, as well as fun outings and events. Work in a flexible setting, at our lovely London Shoreditch office, and a good proportion from home if so desired. Get the opportunity to occasionally visit our customers' engineering sites and experience first-hand how our work is transforming their ways of working.
The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The role We are looking for an experienced credit risk manager with a strong analytical background, to lead the team responsible for managing portfolio credit risk for our lending portfolio in the UK. You will work closely with the Chief Credit Officer, our data scientists, the Capital Markets team, and teams from across the business. You will ensure that credit loss rates, and the credit risk profile, of our UK portfolio are effectively managed. Key responsibilities of this critical role include: Monitoring credit performance on aggregate and by segment. Proactively driving corrective action where required and enhancing the monitoring framework and infrastructure. Providing a clear summary of credit loss rates, and credit risks, to the Risk Committee. Supporting the Chief Credit Officer in the development and management of the businesses credit risk appetite. Supporting the development of iwoca's Credit Policy, and monitoring adherence to it. Producing analysis of credit loss rates and credit risks that support the development of iwoca's funding strategy. This includes input to meetings with debt and equity investors, and analysis that ensures funding facility performance triggers and concentration limits are set appropriately. Providing credit risk expertise to multi-disciplinary projects within the wider team and business stakeholders. Setting and managing the agenda for your team aligned to the broader business strategy. Effectively managing the work conducted by your team to maximise delivery. Building the capabilities of your team with a strong focus on coaching and professional development. The team: You'll join the Credit Risk team, whose primary focus is managing the credit risk profile of our lending portfolios to support iwoca's broader business goals and mission. The requirements Strong analytical background: a degree in Mathematics, Physics, Engineering, or similar quantitative field; or equivalent experience. 3+ years experience in credit risk at a traditional or Fintech lender. Passion for analytical problem-solving, with a strong track record in developing conceptual frameworks and technical execution. This will include the ability to personally conduct data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statistical modelling techniques is a plus. Strong communication, stakeholder management, and people management skills. Ability to bring structure to own and joint areas of work to rapidly drive results in a dynamic working environment. The salary We expect to pay from £80,000 to £90,000 for this role, but we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we look to hire smart, passionate, humble individuals with a growth mindset. We prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. Our friendly and inclusive environment, combined with our flexible work policies, ensures that you'll have the perfect balance between work and life, empowering you to thrive both personally and professionally. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, Berlin and Frankfurt with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits (depending on your location) Medical insurance from Vitality, including discounted gym membership. 25 days' holiday, an extra day off for your birthday, and the option to buy or sell an additional 5 days of annual leave. Instant access to emotional and mental health support with our partner, Spill. Pension and share options. Generous maternity and paternity leave. A nursery tax benefit scheme to help you save money. Paid volunteering day to support your chosen charity. Unlimited unpaid leave. One-month fully paid sabbatical after 4 years. Cycle-to-work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain and further afield. Private GP service for you, your partner, and your dependents. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse if you want to learn to code. Useful links: iwoca benefits & policies Interview welcome pack
May 23, 2025
Full time
The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The role We are looking for an experienced credit risk manager with a strong analytical background, to lead the team responsible for managing portfolio credit risk for our lending portfolio in the UK. You will work closely with the Chief Credit Officer, our data scientists, the Capital Markets team, and teams from across the business. You will ensure that credit loss rates, and the credit risk profile, of our UK portfolio are effectively managed. Key responsibilities of this critical role include: Monitoring credit performance on aggregate and by segment. Proactively driving corrective action where required and enhancing the monitoring framework and infrastructure. Providing a clear summary of credit loss rates, and credit risks, to the Risk Committee. Supporting the Chief Credit Officer in the development and management of the businesses credit risk appetite. Supporting the development of iwoca's Credit Policy, and monitoring adherence to it. Producing analysis of credit loss rates and credit risks that support the development of iwoca's funding strategy. This includes input to meetings with debt and equity investors, and analysis that ensures funding facility performance triggers and concentration limits are set appropriately. Providing credit risk expertise to multi-disciplinary projects within the wider team and business stakeholders. Setting and managing the agenda for your team aligned to the broader business strategy. Effectively managing the work conducted by your team to maximise delivery. Building the capabilities of your team with a strong focus on coaching and professional development. The team: You'll join the Credit Risk team, whose primary focus is managing the credit risk profile of our lending portfolios to support iwoca's broader business goals and mission. The requirements Strong analytical background: a degree in Mathematics, Physics, Engineering, or similar quantitative field; or equivalent experience. 3+ years experience in credit risk at a traditional or Fintech lender. Passion for analytical problem-solving, with a strong track record in developing conceptual frameworks and technical execution. This will include the ability to personally conduct data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statistical modelling techniques is a plus. Strong communication, stakeholder management, and people management skills. Ability to bring structure to own and joint areas of work to rapidly drive results in a dynamic working environment. The salary We expect to pay from £80,000 to £90,000 for this role, but we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we look to hire smart, passionate, humble individuals with a growth mindset. We prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. Our friendly and inclusive environment, combined with our flexible work policies, ensures that you'll have the perfect balance between work and life, empowering you to thrive both personally and professionally. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, Berlin and Frankfurt with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits (depending on your location) Medical insurance from Vitality, including discounted gym membership. 25 days' holiday, an extra day off for your birthday, and the option to buy or sell an additional 5 days of annual leave. Instant access to emotional and mental health support with our partner, Spill. Pension and share options. Generous maternity and paternity leave. A nursery tax benefit scheme to help you save money. Paid volunteering day to support your chosen charity. Unlimited unpaid leave. One-month fully paid sabbatical after 4 years. Cycle-to-work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain and further afield. Private GP service for you, your partner, and your dependents. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse if you want to learn to code. Useful links: iwoca benefits & policies Interview welcome pack
Company Description Work with Us. Change the World. At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world's most complex challenges and build legacies for future generations. There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world. We're one global team driven by our common purpose to deliver a better world. Join us. Job Description The Mechanical Data Centre team is actively seeking a creative, highly talented Mechanical BIM (Revit) Modeller / manager for immediate employment in the Aldgate / St Albans / Manchester / Cardiff office. Job Summary: The successful candidate will have proven experience, working on the digital delivery of building projects including documentation and data deliverables, an understanding of Mechanical engineering technology, REVIT, and is familiar with the Mechanical design of Data Centres. The successful candidate will have a high level of initiative, motivation, and displays drive, energy and enthusiasm for getting things done. Your proficiency in using Revit, BIM360 and other digital tools to deliver detailed design documentation coupled with your experience in working successfully across multidisciplinary teams. Our Data Centre team are active across the UK&I and the EMEA region. The responsibilities of this position include, but are not limited to: CAD operating and designing for Mechanical systems using Revit, and AutoCAD Ensuring overall data quality and integrity of REVIT models. Preparing Mechanical and PHE design drawings Preparing documentation for design projects and reports Undertaking quality control procedures Working within a team environment and being able to communicate effectively with other project team members and customers Assuring that engineering related issues are promptly relayed to the Project Manager for action, and supporting timeliness of resolution effort Qualifications Minimum Requirements : Relevant experience using Revit and AutoCAD (version 2010 or later) and 3D capable. Excellent attention to detail Possess excellent written and communication skills and be able to communicate effectively with colleagues, contractors, and clients Qualifications College Diploma in Mechanical Engineering Technology or other relevant field of study. Demonstrated equivalency of experience and/or education may also be considered. Additional Information We celebrate diversity, including neurodiversity, and believe it enriches our team. We welcome applications from all backgrounds and abilities. If you are an applicant with a disability that requires reasonable accommodation to complete the application process, please contact us at At AECOM, we value everyone's unique contributions and perspectives. If you meet some of the requirements above or have transferable skills you believe would benefit us, we would be delighted to hear from you! About AECOM AECOM is the world's trusted infrastructure consulting firm, delivering professional services throughout the project lifecycle - from advisory, planning, design and engineering to program and construction management. On projects spanning transportation, buildings, water, new energy and the environment, our public- and private-sector clients trust us to solve their most complex challenges. Our teams are driven by a common purpose to deliver a better world through our unrivaled technical and digital expertise, a culture of equity, diversity and inclusion, and a commitment to environmental, social and governance priorities. AECOM is a Fortune 500 firm and its Professional Services business had revenue of $14.4 billion in fiscal year 2023. See how we are delivering sustainable legacies for generations to come at Freedom to Grow in a World of Opportunity You will have the flexibility you need to do your best work with hybrid work options. Whether you're working from an AECOM office, remote location or at a client site, you will be working in a dynamic environment where your integrity, entrepreneurial spirit and pioneering mindset are championed. You will help us foster a safe and respectful workplace, where we invite everyone to bring their whole selves to work using their unique talents, backgrounds and expertise to create transformational outcomes for our clients. AECOM provides a wide array of compensation, benefits and well-being programs to meet the diverse needs of our employees and their families. We're the world's trusted global infrastructure firm, and we're in this together - your growth and success are ours too. Join us, and you'll get all the benefits of being a part of a global, publicly traded firm - access to industry-leading technology and thinking and transformational work with big impact and work flexibility. As an Equal Opportunity Employer, we believe in each person's potential, and we'll help you reach yours. We are a Disability Confident Employer and will offer an interview to applicants who have a disability or long-term condition, who meet the minimum/essential criteria for the role. Please let us know using this email address if you would like to apply through the Disability Confident Interview Scheme. All your information will be kept confidential according to EEO guidelines. ReqID: J Business Line: B&P - Buildings & Places Business Group: DCS Strategic Business Unit: Europe & India Career Area: Engineering Work Location Model: Hybrid Legal Entity: AECOM Limited
May 23, 2025
Full time
Company Description Work with Us. Change the World. At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world's most complex challenges and build legacies for future generations. There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world. We're one global team driven by our common purpose to deliver a better world. Join us. Job Description The Mechanical Data Centre team is actively seeking a creative, highly talented Mechanical BIM (Revit) Modeller / manager for immediate employment in the Aldgate / St Albans / Manchester / Cardiff office. Job Summary: The successful candidate will have proven experience, working on the digital delivery of building projects including documentation and data deliverables, an understanding of Mechanical engineering technology, REVIT, and is familiar with the Mechanical design of Data Centres. The successful candidate will have a high level of initiative, motivation, and displays drive, energy and enthusiasm for getting things done. Your proficiency in using Revit, BIM360 and other digital tools to deliver detailed design documentation coupled with your experience in working successfully across multidisciplinary teams. Our Data Centre team are active across the UK&I and the EMEA region. The responsibilities of this position include, but are not limited to: CAD operating and designing for Mechanical systems using Revit, and AutoCAD Ensuring overall data quality and integrity of REVIT models. Preparing Mechanical and PHE design drawings Preparing documentation for design projects and reports Undertaking quality control procedures Working within a team environment and being able to communicate effectively with other project team members and customers Assuring that engineering related issues are promptly relayed to the Project Manager for action, and supporting timeliness of resolution effort Qualifications Minimum Requirements : Relevant experience using Revit and AutoCAD (version 2010 or later) and 3D capable. Excellent attention to detail Possess excellent written and communication skills and be able to communicate effectively with colleagues, contractors, and clients Qualifications College Diploma in Mechanical Engineering Technology or other relevant field of study. Demonstrated equivalency of experience and/or education may also be considered. Additional Information We celebrate diversity, including neurodiversity, and believe it enriches our team. We welcome applications from all backgrounds and abilities. If you are an applicant with a disability that requires reasonable accommodation to complete the application process, please contact us at At AECOM, we value everyone's unique contributions and perspectives. If you meet some of the requirements above or have transferable skills you believe would benefit us, we would be delighted to hear from you! About AECOM AECOM is the world's trusted infrastructure consulting firm, delivering professional services throughout the project lifecycle - from advisory, planning, design and engineering to program and construction management. On projects spanning transportation, buildings, water, new energy and the environment, our public- and private-sector clients trust us to solve their most complex challenges. Our teams are driven by a common purpose to deliver a better world through our unrivaled technical and digital expertise, a culture of equity, diversity and inclusion, and a commitment to environmental, social and governance priorities. AECOM is a Fortune 500 firm and its Professional Services business had revenue of $14.4 billion in fiscal year 2023. See how we are delivering sustainable legacies for generations to come at Freedom to Grow in a World of Opportunity You will have the flexibility you need to do your best work with hybrid work options. Whether you're working from an AECOM office, remote location or at a client site, you will be working in a dynamic environment where your integrity, entrepreneurial spirit and pioneering mindset are championed. You will help us foster a safe and respectful workplace, where we invite everyone to bring their whole selves to work using their unique talents, backgrounds and expertise to create transformational outcomes for our clients. AECOM provides a wide array of compensation, benefits and well-being programs to meet the diverse needs of our employees and their families. We're the world's trusted global infrastructure firm, and we're in this together - your growth and success are ours too. Join us, and you'll get all the benefits of being a part of a global, publicly traded firm - access to industry-leading technology and thinking and transformational work with big impact and work flexibility. As an Equal Opportunity Employer, we believe in each person's potential, and we'll help you reach yours. We are a Disability Confident Employer and will offer an interview to applicants who have a disability or long-term condition, who meet the minimum/essential criteria for the role. Please let us know using this email address if you would like to apply through the Disability Confident Interview Scheme. All your information will be kept confidential according to EEO guidelines. ReqID: J Business Line: B&P - Buildings & Places Business Group: DCS Strategic Business Unit: Europe & India Career Area: Engineering Work Location Model: Hybrid Legal Entity: AECOM Limited
Why loveholidays? At loveholidays, we're on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease, and unmissable value for their next getaway. Our team is the driving force behind our role as our customers' personal holiday expert - The smart way to get away. The impact you'll have This is a pivotal role in the business, reporting directly to the VP Commercial. The Director of Aviation will be accountable for more than £3B of flights transaction value, leading relationships with over 120 airlines across multiple source markets. The role straddles the commercial, product, and technology areas of our flights supply and requires a blend of strategic, commercial, and product skills and knowledge to ensure loveholidays has the broadest, most competitive flights offering in the market. Your day-to-day: Full strategic ownership of the Aviation product within loveholidays, including ownership of the Aviation strategic roadmap. Leading the commercial Aviation Team to maximise revenue opportunities within Aviation and the wider product set. Understanding Aviation mix and network planning to optimise our Aviation offering to the customer, which underpins our Dynamic Package product. Working directly with product owners and technical leads to promote Aviation as a product. Ownership of all Airline relationships, including low-cost carriers, scheduled, and charter airlines. Ownership of all technology and data relationships within Aviation, including global distribution system operators, low-cost carrier booking partners, and all aviation technology and data partners. Being the business owner for the cross-functional Aviation Team, including engineers, product owners, analysts, data scientists, and Aviation Operations. Balancing revenue maximisation with risk mitigation in a concentrated UK airline industry. Participating in the Company-wide OKRs process, setting the quarterly objectives to deliver the strategy you have set, and leading the execution of the OKR process within Aviation. Full financial ownership of the Aviation function, including budgeting and forecasting, and cost control. Your skillset: Deep aviation industry experience and expertise, across low-cost airlines, scheduled carriers, and GDS. Strong relationship-building and influencing skills, comfortable up to C-Suite level. Commercial acumen and negotiation experience. Strategic mindset. Ability to lead cross-functional teams to successful outcomes, comfortable working with Product and Technology teams. Data-driven decision-making. Outstanding communication and interpersonal skills. Desirable: Experience in fixed commitment and down-payments with airlines with associated negotiation, forecasting, and revenue management. Experience working in other European countries (e.g. Germany, Netherlands). The interview journey: Talent Acquisition Partner intro - 30 mins. 1st stage with Hiring Manager - 45 mins. 2nd stage with key stakeholders including a task to present, followed by team chemistry meetings - 2 hours. Final stage with senior stakeholders - 30-45 mins.
May 23, 2025
Full time
Why loveholidays? At loveholidays, we're on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease, and unmissable value for their next getaway. Our team is the driving force behind our role as our customers' personal holiday expert - The smart way to get away. The impact you'll have This is a pivotal role in the business, reporting directly to the VP Commercial. The Director of Aviation will be accountable for more than £3B of flights transaction value, leading relationships with over 120 airlines across multiple source markets. The role straddles the commercial, product, and technology areas of our flights supply and requires a blend of strategic, commercial, and product skills and knowledge to ensure loveholidays has the broadest, most competitive flights offering in the market. Your day-to-day: Full strategic ownership of the Aviation product within loveholidays, including ownership of the Aviation strategic roadmap. Leading the commercial Aviation Team to maximise revenue opportunities within Aviation and the wider product set. Understanding Aviation mix and network planning to optimise our Aviation offering to the customer, which underpins our Dynamic Package product. Working directly with product owners and technical leads to promote Aviation as a product. Ownership of all Airline relationships, including low-cost carriers, scheduled, and charter airlines. Ownership of all technology and data relationships within Aviation, including global distribution system operators, low-cost carrier booking partners, and all aviation technology and data partners. Being the business owner for the cross-functional Aviation Team, including engineers, product owners, analysts, data scientists, and Aviation Operations. Balancing revenue maximisation with risk mitigation in a concentrated UK airline industry. Participating in the Company-wide OKRs process, setting the quarterly objectives to deliver the strategy you have set, and leading the execution of the OKR process within Aviation. Full financial ownership of the Aviation function, including budgeting and forecasting, and cost control. Your skillset: Deep aviation industry experience and expertise, across low-cost airlines, scheduled carriers, and GDS. Strong relationship-building and influencing skills, comfortable up to C-Suite level. Commercial acumen and negotiation experience. Strategic mindset. Ability to lead cross-functional teams to successful outcomes, comfortable working with Product and Technology teams. Data-driven decision-making. Outstanding communication and interpersonal skills. Desirable: Experience in fixed commitment and down-payments with airlines with associated negotiation, forecasting, and revenue management. Experience working in other European countries (e.g. Germany, Netherlands). The interview journey: Talent Acquisition Partner intro - 30 mins. 1st stage with Hiring Manager - 45 mins. 2nd stage with key stakeholders including a task to present, followed by team chemistry meetings - 2 hours. Final stage with senior stakeholders - 30-45 mins.
Applications deadline: The final date for submissions is 25 April 2025 . However, we review applications on a rolling basis and encourage early submissions. ABOUT APOLLO RESEARCH The capabilities of current AI systems are evolving at a rapid pace. While these advancements offer tremendous opportunities, they also present significant risks, such as the potential for deliberate misuse or the deployment of sophisticated yet misaligned models. At Apollo Research , our primary concern lies with deceptive alignment, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. Our approach focuses on behavioral model evaluations, which we then use to audit real-world models. We also combine black-box approaches with applied interpretability. In our evaluations, we focus on LM agents, i.e. LLMs with agentic scaffolding similar to AIDE or SWE agent . We also study model organisms in controlled environments (see our security policies ), e.g. to better understand capabilities related to scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here . ABOUT THE TEAM The current evals team consists of Mikita Balesni , Jérémy Scheurer , Alex Meinke , Rusheb Shah , Bronson Schoen , Andrei Matveiakin, Felix Hofstätter, and Axel Højmark . Marius Hobbhahn manages and advises the team, though team members lead individual projects. You would work closely with Rusheb and Andrei, who are the full-time software engineers on the evals team, but you would also interact a lot with everyone else. You can find our full team here . WE ARE LOOKING FOR THE FOLLOWING CHARACTERISTICS IN A STRONG CANDIDATE Responsibilities: Maintain and extend our internal library for building and running language model evaluations. Work closely with researchers to understand what challenges they face. Rapidly prototype, iterate on and ship useful features to increase their productivity. Collaboratively iterate on the vision and priorities for the internal software stack. Advocate for good software design practices and the general health of the codebase. Keep up-to-date with the latest approaches to implementing evals frameworks and LLM scaffolding (e.g. open-source projects and research papers). If interested, you can also run well-scoped research projects yourself, e.g. build an evaluation or do capability elicitation for an existing evaluation. Required Skills: At least 2 years of FTE-equivalent experience in software development with Python. Strong candidates may also have: Note that we welcome and value applications with different backgrounds. We encourage you to apply even if none of the following apply to you. Experience in rapidly iterating on software products in close collaboration with users. For example, you have built software tools for internal or external users for 1+ years. Strong communication skills and user/researcher empathy to understand and address their needs. You enjoy close in-person collaboration and pair programming. Experience building organization-internal tools. For example, you have led the efforts of an organization-internal tool for at least one 6-month project. Representative projects: Implement an internal job orchestration tool which allows researchers to run evals on remote machines. Build out an eval runs database which stores all historical results in a queryable format. Implement LLM agents to automate internal software engineering and research tasks. Design and implement research tools for loading, viewing and interacting with transcripts from eval runs. Establish internal patterns and conventions for building new types of evaluations within the Inspect framework. Optimize the CI pipeline to reduce execution time and eliminate flaky tests. We want to emphasize that people who feel they don't fulfill all of these characteristics but think they would be a good fit for the position nonetheless are strongly encouraged to apply . We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine. EVALS TEAM WORK. The evals team focuses on the following efforts: As a software engineer, you work closely with all of our research scientists by building a high-quality software stack to support all of the following efforts. We have recently switched to Inspect as our primary evals framework. If you want to prepare for the SWE role, we recommend playing around with Inspect. Conceptual work on safety cases for scheming, for example, our work on evaluation-based safety cases for scheming Building evaluations for scheming-related properties , such as situational awareness or deceptive reasoning. Conducting evaluations on frontier models and publishing the results either to the general public or a target audience such as AI developers or governments, for example, our work in OpenAI's o1-preview system card . Creating model organisms and demonstrations of behavior related to deceptive alignment, e.g. exploring the influence of goal-directedness on scheming. Designing and evaluating AI control protocols. We have not started these efforts yet but intend to work on them starting Q2 2025. LOGISTICS Start Date: Target of 2-3 months after the first interview. Time Allocation: Full-time. Location: The office is in London, and the building is shared with the London Initiative for Safe AI (LISA) offices. This is an in-person role. In rare situations, we may consider partially remote arrangements on a case-by-case basis. Work Visas: We can sponsor UK visas. BENEFITS Salary: a competitive UK-based salary. Flexible work hours and schedule. Unlimited vacation. Unlimited sick leave. Lunch, dinner, and snacks are provided for all employees on workdays. Paid work trips, including staff retreats, business trips, and relevant conferences. A yearly $1,000 (USD) professional development budget. We want to emphasize that people who feel they don't fulfill all of these characteristics but think they would be a good fit for the position nonetheless are strongly encouraged to apply . We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. How to apply: Please complete the application form with your CV. The provision of a cover letter is optional but not necessary. Please also feel free to share links to relevant work samples. About the interview process: Our multi-stage process includes a screening interview, a take-home test (approx. 2 hours), 3 technical interviews, and a final interview with Marius (CEO). The technical interviews will be closely related to tasks the candidate would do on the job. There are no leetcode-style general coding interviews. If you want to prepare for the interviews, we suggest working on hands-on LLM evals projects (e.g. as suggested in our starter guide ), such as building LM agent evaluations in Inspect .
May 23, 2025
Full time
Applications deadline: The final date for submissions is 25 April 2025 . However, we review applications on a rolling basis and encourage early submissions. ABOUT APOLLO RESEARCH The capabilities of current AI systems are evolving at a rapid pace. While these advancements offer tremendous opportunities, they also present significant risks, such as the potential for deliberate misuse or the deployment of sophisticated yet misaligned models. At Apollo Research , our primary concern lies with deceptive alignment, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. Our approach focuses on behavioral model evaluations, which we then use to audit real-world models. We also combine black-box approaches with applied interpretability. In our evaluations, we focus on LM agents, i.e. LLMs with agentic scaffolding similar to AIDE or SWE agent . We also study model organisms in controlled environments (see our security policies ), e.g. to better understand capabilities related to scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here . ABOUT THE TEAM The current evals team consists of Mikita Balesni , Jérémy Scheurer , Alex Meinke , Rusheb Shah , Bronson Schoen , Andrei Matveiakin, Felix Hofstätter, and Axel Højmark . Marius Hobbhahn manages and advises the team, though team members lead individual projects. You would work closely with Rusheb and Andrei, who are the full-time software engineers on the evals team, but you would also interact a lot with everyone else. You can find our full team here . WE ARE LOOKING FOR THE FOLLOWING CHARACTERISTICS IN A STRONG CANDIDATE Responsibilities: Maintain and extend our internal library for building and running language model evaluations. Work closely with researchers to understand what challenges they face. Rapidly prototype, iterate on and ship useful features to increase their productivity. Collaboratively iterate on the vision and priorities for the internal software stack. Advocate for good software design practices and the general health of the codebase. Keep up-to-date with the latest approaches to implementing evals frameworks and LLM scaffolding (e.g. open-source projects and research papers). If interested, you can also run well-scoped research projects yourself, e.g. build an evaluation or do capability elicitation for an existing evaluation. Required Skills: At least 2 years of FTE-equivalent experience in software development with Python. Strong candidates may also have: Note that we welcome and value applications with different backgrounds. We encourage you to apply even if none of the following apply to you. Experience in rapidly iterating on software products in close collaboration with users. For example, you have built software tools for internal or external users for 1+ years. Strong communication skills and user/researcher empathy to understand and address their needs. You enjoy close in-person collaboration and pair programming. Experience building organization-internal tools. For example, you have led the efforts of an organization-internal tool for at least one 6-month project. Representative projects: Implement an internal job orchestration tool which allows researchers to run evals on remote machines. Build out an eval runs database which stores all historical results in a queryable format. Implement LLM agents to automate internal software engineering and research tasks. Design and implement research tools for loading, viewing and interacting with transcripts from eval runs. Establish internal patterns and conventions for building new types of evaluations within the Inspect framework. Optimize the CI pipeline to reduce execution time and eliminate flaky tests. We want to emphasize that people who feel they don't fulfill all of these characteristics but think they would be a good fit for the position nonetheless are strongly encouraged to apply . We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine. EVALS TEAM WORK. The evals team focuses on the following efforts: As a software engineer, you work closely with all of our research scientists by building a high-quality software stack to support all of the following efforts. We have recently switched to Inspect as our primary evals framework. If you want to prepare for the SWE role, we recommend playing around with Inspect. Conceptual work on safety cases for scheming, for example, our work on evaluation-based safety cases for scheming Building evaluations for scheming-related properties , such as situational awareness or deceptive reasoning. Conducting evaluations on frontier models and publishing the results either to the general public or a target audience such as AI developers or governments, for example, our work in OpenAI's o1-preview system card . Creating model organisms and demonstrations of behavior related to deceptive alignment, e.g. exploring the influence of goal-directedness on scheming. Designing and evaluating AI control protocols. We have not started these efforts yet but intend to work on them starting Q2 2025. LOGISTICS Start Date: Target of 2-3 months after the first interview. Time Allocation: Full-time. Location: The office is in London, and the building is shared with the London Initiative for Safe AI (LISA) offices. This is an in-person role. In rare situations, we may consider partially remote arrangements on a case-by-case basis. Work Visas: We can sponsor UK visas. BENEFITS Salary: a competitive UK-based salary. Flexible work hours and schedule. Unlimited vacation. Unlimited sick leave. Lunch, dinner, and snacks are provided for all employees on workdays. Paid work trips, including staff retreats, business trips, and relevant conferences. A yearly $1,000 (USD) professional development budget. We want to emphasize that people who feel they don't fulfill all of these characteristics but think they would be a good fit for the position nonetheless are strongly encouraged to apply . We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. How to apply: Please complete the application form with your CV. The provision of a cover letter is optional but not necessary. Please also feel free to share links to relevant work samples. About the interview process: Our multi-stage process includes a screening interview, a take-home test (approx. 2 hours), 3 technical interviews, and a final interview with Marius (CEO). The technical interviews will be closely related to tasks the candidate would do on the job. There are no leetcode-style general coding interviews. If you want to prepare for the interviews, we suggest working on hands-on LLM evals projects (e.g. as suggested in our starter guide ), such as building LM agent evaluations in Inspect .
