Data Science Manager (Valuations & Pricing) Competitive + Car Allowance + Bonus + Benefits! Hook BCA Posted 6 days ago Ref: FM8-02321 HS Job Title: Data Science Manager (Valuations & Pricing) Salary: Competitive + Car Allowance + Bonus + Benefits! Location: Hybrid working, home & 1-2 days a week in either BCA Hook or BCA King's Cross Working Hours: Monday - Friday, 40 hours Job Status: Permanent Who we are! The Constellation Automotive Group is the largest vertically integrated digital car marketplace in Europe, combining the leading digital brands across the segments of Consumer to Business (C2B), Business to Business (B2B) and Business to Consumer (B2C). Businesses in our group include household names such as cinch, We Buy Any Car, and Marshall Motor Group as well as industry leading British Car Auctions (BCA). Our Data Science function - now in its tenth year - sits across the Constellation Automotive Group and is at the forefront of providing data products and services that help underpin the success of these companies. Our cross-group remit is broad with our models ranging from valuation and commercial pricing to marketing and personalisation, through to operational optimisation including stock selection, delivery route optimisation and vehicle refurbishment. Now, this is where you fit in As Data Science Manager for our Valuations and Pricing team, you'll be responsible for leading the team responsible for our flagship valuation models and commercially aligned pricing models used across the group and industry to value vehicles, provide part-exchange pricing and ultimately maximising profitability within each division. You'll leverage our best-in-class framework to push continuous innovation in these products, working with our Head of Data Science to set the strategy for the Valuations and Pricing team. The ideal candidate will be highly motivated by the opportunity to develop their team through coaching and mentoring, while also being willing to be hands-on, working with our Senior Staff Engineer to provide technical leadership to the team. You'll have great technical understanding of various machine learning approaches, which would include regression methods, probabilistic pricing models, tree based gradient boosting approaches, information theory, neural networks, transfer learning, etc. While your focus will be primarily on the Valuations and Pricing Team you'll also work alongside your peers in the Marketing & Personalisation team and Operations team to contribute through leadership. As such, experience with Marketing Data Science (think Marketing Mix Modelling, Multi-touch attribution) or Operational Research is also welcome. In return you'll receive coaching and mentoring to grow as a people manager. Opportunity to have a clear and tangible impact across a group of businesses with senior stakeholder engagement. And you'll be supported by our experienced MLOps and Data Engineering teams, allowing you more time to focus on model development, research and the implementation of new novel machine learning approaches. Key Responsibilities: Lead the Valuations & Pricing Team ensuring the on-going improvements in KPIs associated with the team's products. Manage, coach and mentor a team of data scientists. Ensuring they achieve their growth goals and deliver anticipated business outcomes. Envision and support the team in implementing new ML solutions to address and prescribe for identified business priorities. Engage and build strong relationships with stakeholders across the group to identify new opportunities, communicate progress with innovations and promote the use of Valuation and Pricing products. Own the roadmap for the Valuations and Pricing team agreeing priorities with stakeholders and the Head of Data Science and enable the team to deliver against agreed targets. Work closely with the Machine Learning Operations team to deliver products to end users, leveraging and contributing to established engineering standards and best practices. Work collaboratively with the Insight & Analytics and Data Engineering teams to integrate model outputs into our data platform, ensuring their effective use in analysis and reporting. Identify and drive improvements in our product lifecycle and machine learning pipelines, enhancing efficiency and enabling the team to innovate rapidly. Utilisation of models to develop and disseminate market intelligence in a clear and concise manner to BCA's Senior Leadership. Explain the implications of models and model insights to business stakeholders and external customers in an easy-to-understand way. Knowledge and Experience: Required Skills: Experience engineering machine learning products to a high standard using Python. Excellent team management skills to lead, motivate and grow a diverse team who are geographically dispersed. Comfortable using a multi-platform stack to deliver products (Databricks, Azure ML Studio, Azure and Snowflake, SageMaker, AWS). Ability to take ownership of a broad data product-set and drive forward the delivery of new products and product features. Strong ability to communicate complex concepts clearly and concisely to technical and non-technical audiences of various levels of seniority. Proven ability to manage stakeholders. Broad expertise in machine learning methodologies, including predictive modelling, pattern recognition, and optimization techniques. Experience with reinforcement learning or transfer learning is a plus. Excellent ability to gather, develop, prioritise and deliver customer requirements. Experience with continuous integration tools, such as Azure DevOps Pipelines or GitHub Actions, for automating reporting and model deployment. Strong attention to detail, well organised and proactive in identifying and owning issues as they arise. Experience of working in an Agile framework is a plus. Experience in Marketing Data Science or Operational Research is also desirable. We've put everything in place to ensure you thrive. Competitive salaries, strong core values and an excellent benefits package that includes: Company Pension Scheme An Employee Assistance Programme Enhanced maternity, paternity, and adoption leave Access to trained Mental Health First Aiders And so much more As the automotive industry changes, we're changing with it - putting our people in the front seat for the journey. We're the number one in what we do for a reason and that's because of the people we have on our teams. If you want to be a part of a business like this; unrivalled, exciting and appreciative of the work you do, join BCA.
Jun 10, 2025
Full time
Data Science Manager (Valuations & Pricing) Competitive + Car Allowance + Bonus + Benefits! Hook BCA Posted 6 days ago Ref: FM8-02321 HS Job Title: Data Science Manager (Valuations & Pricing) Salary: Competitive + Car Allowance + Bonus + Benefits! Location: Hybrid working, home & 1-2 days a week in either BCA Hook or BCA King's Cross Working Hours: Monday - Friday, 40 hours Job Status: Permanent Who we are! The Constellation Automotive Group is the largest vertically integrated digital car marketplace in Europe, combining the leading digital brands across the segments of Consumer to Business (C2B), Business to Business (B2B) and Business to Consumer (B2C). Businesses in our group include household names such as cinch, We Buy Any Car, and Marshall Motor Group as well as industry leading British Car Auctions (BCA). Our Data Science function - now in its tenth year - sits across the Constellation Automotive Group and is at the forefront of providing data products and services that help underpin the success of these companies. Our cross-group remit is broad with our models ranging from valuation and commercial pricing to marketing and personalisation, through to operational optimisation including stock selection, delivery route optimisation and vehicle refurbishment. Now, this is where you fit in As Data Science Manager for our Valuations and Pricing team, you'll be responsible for leading the team responsible for our flagship valuation models and commercially aligned pricing models used across the group and industry to value vehicles, provide part-exchange pricing and ultimately maximising profitability within each division. You'll leverage our best-in-class framework to push continuous innovation in these products, working with our Head of Data Science to set the strategy for the Valuations and Pricing team. The ideal candidate will be highly motivated by the opportunity to develop their team through coaching and mentoring, while also being willing to be hands-on, working with our Senior Staff Engineer to provide technical leadership to the team. You'll have great technical understanding of various machine learning approaches, which would include regression methods, probabilistic pricing models, tree based gradient boosting approaches, information theory, neural networks, transfer learning, etc. While your focus will be primarily on the Valuations and Pricing Team you'll also work alongside your peers in the Marketing & Personalisation team and Operations team to contribute through leadership. As such, experience with Marketing Data Science (think Marketing Mix Modelling, Multi-touch attribution) or Operational Research is also welcome. In return you'll receive coaching and mentoring to grow as a people manager. Opportunity to have a clear and tangible impact across a group of businesses with senior stakeholder engagement. And you'll be supported by our experienced MLOps and Data Engineering teams, allowing you more time to focus on model development, research and the implementation of new novel machine learning approaches. Key Responsibilities: Lead the Valuations & Pricing Team ensuring the on-going improvements in KPIs associated with the team's products. Manage, coach and mentor a team of data scientists. Ensuring they achieve their growth goals and deliver anticipated business outcomes. Envision and support the team in implementing new ML solutions to address and prescribe for identified business priorities. Engage and build strong relationships with stakeholders across the group to identify new opportunities, communicate progress with innovations and promote the use of Valuation and Pricing products. Own the roadmap for the Valuations and Pricing team agreeing priorities with stakeholders and the Head of Data Science and enable the team to deliver against agreed targets. Work closely with the Machine Learning Operations team to deliver products to end users, leveraging and contributing to established engineering standards and best practices. Work collaboratively with the Insight & Analytics and Data Engineering teams to integrate model outputs into our data platform, ensuring their effective use in analysis and reporting. Identify and drive improvements in our product lifecycle and machine learning pipelines, enhancing efficiency and enabling the team to innovate rapidly. Utilisation of models to develop and disseminate market intelligence in a clear and concise manner to BCA's Senior Leadership. Explain the implications of models and model insights to business stakeholders and external customers in an easy-to-understand way. Knowledge and Experience: Required Skills: Experience engineering machine learning products to a high standard using Python. Excellent team management skills to lead, motivate and grow a diverse team who are geographically dispersed. Comfortable using a multi-platform stack to deliver products (Databricks, Azure ML Studio, Azure and Snowflake, SageMaker, AWS). Ability to take ownership of a broad data product-set and drive forward the delivery of new products and product features. Strong ability to communicate complex concepts clearly and concisely to technical and non-technical audiences of various levels of seniority. Proven ability to manage stakeholders. Broad expertise in machine learning methodologies, including predictive modelling, pattern recognition, and optimization techniques. Experience with reinforcement learning or transfer learning is a plus. Excellent ability to gather, develop, prioritise and deliver customer requirements. Experience with continuous integration tools, such as Azure DevOps Pipelines or GitHub Actions, for automating reporting and model deployment. Strong attention to detail, well organised and proactive in identifying and owning issues as they arise. Experience of working in an Agile framework is a plus. Experience in Marketing Data Science or Operational Research is also desirable. We've put everything in place to ensure you thrive. Competitive salaries, strong core values and an excellent benefits package that includes: Company Pension Scheme An Employee Assistance Programme Enhanced maternity, paternity, and adoption leave Access to trained Mental Health First Aiders And so much more As the automotive industry changes, we're changing with it - putting our people in the front seat for the journey. We're the number one in what we do for a reason and that's because of the people we have on our teams. If you want to be a part of a business like this; unrivalled, exciting and appreciative of the work you do, join BCA.
Join us as a AI/ML Data Scientist at Barclays where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. To be successful as an AI/ML Data Scientist, you should have experience with: Python programming aligned to data transformation, cleansing, data analytics, and natural language understanding/processing Working with large structured and unstructured data from multiple sources/logs/transcripts Excel (advanced i.e. macros/indexing/lookups) Proficient with SQL (or similar query languages) AWS Ecosystem (Lex, Connect, Cloudwatch, SageMaker, Bedrock) Interfacing with centralised data solutions i.e. data warehouse/data lakes Required Data Visualisation experience (configuration/implementing dashboards) ideally ESaaS/Kibana or similar i.e. Tableau, PowerBI, Qlik etc. Machine Learning & Deep Learning Knowledge Programming Good understanding of NLP techniques & model is crucial AWS ecosystem Other highly valued skills include: Data engineering/MLOps experience (building data pipelines) & Building chatbot experience AWS Connect, Bedrock, SageMaker & LEX ML libraries experience Base understanding of technology strategy including infrastructure estate, applications, cloud, digital, data, cyber, and GenAI technologies. Good understanding of governance, and operational matters including financials, workforce, controls, processes, and reporting. A demonstrated ability to easily identify and drive process efficiencies and automation opportunities to improve output. Good consulting skills, with demonstrated success working in collaboration with different teams across banking and in managing teams to deliver outputs. This role will be based out of our Northampton campus. Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Accountabilities Identification, collection, extraction of data from various sources, including internal and external sources. Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Vice President Expectations Advise key stakeholders, including functional leadership teams and senior management on functional and cross-functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem-solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Feb 20, 2025
Full time
Join us as a AI/ML Data Scientist at Barclays where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. To be successful as an AI/ML Data Scientist, you should have experience with: Python programming aligned to data transformation, cleansing, data analytics, and natural language understanding/processing Working with large structured and unstructured data from multiple sources/logs/transcripts Excel (advanced i.e. macros/indexing/lookups) Proficient with SQL (or similar query languages) AWS Ecosystem (Lex, Connect, Cloudwatch, SageMaker, Bedrock) Interfacing with centralised data solutions i.e. data warehouse/data lakes Required Data Visualisation experience (configuration/implementing dashboards) ideally ESaaS/Kibana or similar i.e. Tableau, PowerBI, Qlik etc. Machine Learning & Deep Learning Knowledge Programming Good understanding of NLP techniques & model is crucial AWS ecosystem Other highly valued skills include: Data engineering/MLOps experience (building data pipelines) & Building chatbot experience AWS Connect, Bedrock, SageMaker & LEX ML libraries experience Base understanding of technology strategy including infrastructure estate, applications, cloud, digital, data, cyber, and GenAI technologies. Good understanding of governance, and operational matters including financials, workforce, controls, processes, and reporting. A demonstrated ability to easily identify and drive process efficiencies and automation opportunities to improve output. Good consulting skills, with demonstrated success working in collaboration with different teams across banking and in managing teams to deliver outputs. This role will be based out of our Northampton campus. Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Accountabilities Identification, collection, extraction of data from various sources, including internal and external sources. Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Vice President Expectations Advise key stakeholders, including functional leadership teams and senior management on functional and cross-functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem-solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Senior Data Scientist (GenAI) required for a London, globally known software business with hybrid working. I am working with a large Global software organisation to join their team in London, where you will be working on developing world-class products and services in a hugely innovative environment. The company: The organisation has been around for over 20 years and has over 1,000 members of staff. They operate across a very specific area of online sales and are a large-scale tech company. They have offices in London and Scotland and are continuing to grow and be productive. They are one of Scotland's best known tech organisations, and they thrive on a positive and welcoming culture, making it one of the best places to work. They are a hybrid organisation and ask all employees to be in office twice a week in London - what days those are, are flexible. The role: You will be utilising advanced technologies such as GenAI and recommender systems with the goal to enhance this content and build a leading platform for travel discovery. You will lead high-impact initiatives with an experimental approach. You'll be involved in the entire data science lifecycle, from defining problems and exploring data to developing and evaluating models. You will also work closely with engineering teams to ensure the smooth deployment, monitoring, and scaling of solutions in production environments. You will develop and implement advanced Generative AI and recommender system solutions to improve travel content and user experiences. This includes researching LLMs, multimodal models, and content-based filtering to personalise recommendations. As well as this you will be involved in designing evaluation frameworks to ensure content quality and relevance. You will collaborate with cross-functional teams to integrate AI-powered solutions into the Explore platform, optimise models for better content discovery, and support the deployment and maintenance of machine learning models in production. Staying updated on AI advancements; you'll continuously experiment with new methodologies to enhance the user experience. Key skills: Senior Data Scientist experience Commercial experience in Generative AI and recommender systems Strong Python and SQL experience Spark / Apache Airflow LLM experience MLOps experience AWS Additional information: This role offers a strong salary of up to £95,000 (Depending on experience/skill) with hybrid working (2 days per week in office). Additionally, they offer a range of employee benefits including a few different bonuses. This is an opportunity to work with one of the UKs best software businesses so if you think that you could be the right fit and this is the next step in your career, then please apply or contact Matthew MacAlpine at Cathcart Technology on .
Feb 20, 2025
Full time
Senior Data Scientist (GenAI) required for a London, globally known software business with hybrid working. I am working with a large Global software organisation to join their team in London, where you will be working on developing world-class products and services in a hugely innovative environment. The company: The organisation has been around for over 20 years and has over 1,000 members of staff. They operate across a very specific area of online sales and are a large-scale tech company. They have offices in London and Scotland and are continuing to grow and be productive. They are one of Scotland's best known tech organisations, and they thrive on a positive and welcoming culture, making it one of the best places to work. They are a hybrid organisation and ask all employees to be in office twice a week in London - what days those are, are flexible. The role: You will be utilising advanced technologies such as GenAI and recommender systems with the goal to enhance this content and build a leading platform for travel discovery. You will lead high-impact initiatives with an experimental approach. You'll be involved in the entire data science lifecycle, from defining problems and exploring data to developing and evaluating models. You will also work closely with engineering teams to ensure the smooth deployment, monitoring, and scaling of solutions in production environments. You will develop and implement advanced Generative AI and recommender system solutions to improve travel content and user experiences. This includes researching LLMs, multimodal models, and content-based filtering to personalise recommendations. As well as this you will be involved in designing evaluation frameworks to ensure content quality and relevance. You will collaborate with cross-functional teams to integrate AI-powered solutions into the Explore platform, optimise models for better content discovery, and support the deployment and maintenance of machine learning models in production. Staying updated on AI advancements; you'll continuously experiment with new methodologies to enhance the user experience. Key skills: Senior Data Scientist experience Commercial experience in Generative AI and recommender systems Strong Python and SQL experience Spark / Apache Airflow LLM experience MLOps experience AWS Additional information: This role offers a strong salary of up to £95,000 (Depending on experience/skill) with hybrid working (2 days per week in office). Additionally, they offer a range of employee benefits including a few different bonuses. This is an opportunity to work with one of the UKs best software businesses so if you think that you could be the right fit and this is the next step in your career, then please apply or contact Matthew MacAlpine at Cathcart Technology on .
This is a perfect opportunity for ambitious individuals to join a team of curious minds and support peers with a passion and the skills for creating value for businesses using data. About us We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too! At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our central offices in Bristol and London. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. Join us in shaping a workplace where proximity enhances collaboration while inclusivity strengthens our community. About the role We are looking for an experienced Data Scientist to work at one of our global biopharma customers on a range of Biostats models consulting and development engagements. They are expected to bring extensive knowledge in best practices on R package development, model development and deployment on Databricks, collaboration with version control systems, and familiarity with other topics such as data architecture and cloud infrastructure. They will be working closely with Ascent's existing team embedded in the customer's organisation; this demands professionalism and empathy. A dedicated focus on delivering high-impact outcomes that delight our customers is key. The role is expected to perform these tasks in an enterprise environment: Develop professional quality R packages; Provide consultancy on Biostats model development and deployment best practices; Review and optimise code, integrate existing modelling code into packages; Design and implement end to end modelling and deployment process on Databricks; Support and collaborate with adjacent teams (e.g. products, IT) to integrate the modelling solution; Continually innovate with the team and the customer on using modern tooling to improve model development and deployment; Skills and Experience A successful candidate will have demonstrated these experiences: A background or work experience in biostatistics or a similar discipline; Strong R programming, and R package development; Statistical model deployment, and end-to-end MLOps is nice to have; Having worked extensively on cloud infrastructure, preferably Databricks and Azure; Shiny development is nice to have; Can work with customer stakeholders to understand business processes and workflows, and can design solutions to optimize processes via streamlining and automation; DevOps experience and familiarity with software release process; Familiar with agile delivery methods. Working at Ascent At Ascent we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries. Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status. If you require any reasonable accommodation, please let us know when you apply. If you have any questions contact our Talent Acquisition team on . For more details about life at Ascent , check out our Life Page here .
Feb 18, 2025
Full time
This is a perfect opportunity for ambitious individuals to join a team of curious minds and support peers with a passion and the skills for creating value for businesses using data. About us We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too! At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our central offices in Bristol and London. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. Join us in shaping a workplace where proximity enhances collaboration while inclusivity strengthens our community. About the role We are looking for an experienced Data Scientist to work at one of our global biopharma customers on a range of Biostats models consulting and development engagements. They are expected to bring extensive knowledge in best practices on R package development, model development and deployment on Databricks, collaboration with version control systems, and familiarity with other topics such as data architecture and cloud infrastructure. They will be working closely with Ascent's existing team embedded in the customer's organisation; this demands professionalism and empathy. A dedicated focus on delivering high-impact outcomes that delight our customers is key. The role is expected to perform these tasks in an enterprise environment: Develop professional quality R packages; Provide consultancy on Biostats model development and deployment best practices; Review and optimise code, integrate existing modelling code into packages; Design and implement end to end modelling and deployment process on Databricks; Support and collaborate with adjacent teams (e.g. products, IT) to integrate the modelling solution; Continually innovate with the team and the customer on using modern tooling to improve model development and deployment; Skills and Experience A successful candidate will have demonstrated these experiences: A background or work experience in biostatistics or a similar discipline; Strong R programming, and R package development; Statistical model deployment, and end-to-end MLOps is nice to have; Having worked extensively on cloud infrastructure, preferably Databricks and Azure; Shiny development is nice to have; Can work with customer stakeholders to understand business processes and workflows, and can design solutions to optimize processes via streamlining and automation; DevOps experience and familiarity with software release process; Familiar with agile delivery methods. Working at Ascent At Ascent we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries. Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status. If you require any reasonable accommodation, please let us know when you apply. If you have any questions contact our Talent Acquisition team on . For more details about life at Ascent , check out our Life Page here .
This is a perfect opportunity for ambitious individuals to join a team of curious minds and support peers with a passion and the skills for creating value for businesses using data. About us We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too! At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our central offices in Bristol and London. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. Join us in shaping a workplace where proximity enhances collaboration while inclusivity strengthens our community. About the role We are looking for an experienced Data Scientist to work at one of our global biopharma customers on a range of Biostats models consulting and development engagements. They are expected to bring extensive knowledge in best practices on R package development, model development and deployment on Databricks, collaboration with version control systems, and familiarity with other topics such as data architecture and cloud infrastructure. They will be working closely with Ascent's existing team embedded in the customer's organisation; this demands professionalism and empathy. A dedicated focus on delivering high-impact outcomes that delight our customers is key. The role is expected to perform these tasks in an enterprise environment: Develop professional quality R packages; Provide consultancy on Biostats model development and deployment best practices; Review and optimise code, integrate existing modelling code into packages; Design and implement end to end modelling and deployment process on Databricks; Support and collaborate with adjacent teams (e.g. products, IT) to integrate the modelling solution; Continually innovate with the team and the customer on using modern tooling to improve model development and deployment; Skills and Experience A successful candidate will have demonstrated these experiences: A background or work experience in biostatistics or a similar discipline; Strong R programming, and R package development; Statistical model deployment, and end-to-end MLOps is nice to have; Having worked extensively on cloud infrastructure, preferably Databricks and Azure; Shiny development is nice to have; Can work with customer stakeholders to understand business processes and workflows, and can design solutions to optimize processes via streamlining and automation; DevOps experience and familiarity with software release process; Familiar with agile delivery methods. Working at Ascent At Ascent we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries. Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status. If you require any reasonable accommodation, please let us know when you apply. If you have any questions contact our Talent Acquisition team on . For more details about life at Ascent , check out our Life Page here .
Feb 18, 2025
Full time
This is a perfect opportunity for ambitious individuals to join a team of curious minds and support peers with a passion and the skills for creating value for businesses using data. About us We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too! At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our central offices in Bristol and London. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. Join us in shaping a workplace where proximity enhances collaboration while inclusivity strengthens our community. About the role We are looking for an experienced Data Scientist to work at one of our global biopharma customers on a range of Biostats models consulting and development engagements. They are expected to bring extensive knowledge in best practices on R package development, model development and deployment on Databricks, collaboration with version control systems, and familiarity with other topics such as data architecture and cloud infrastructure. They will be working closely with Ascent's existing team embedded in the customer's organisation; this demands professionalism and empathy. A dedicated focus on delivering high-impact outcomes that delight our customers is key. The role is expected to perform these tasks in an enterprise environment: Develop professional quality R packages; Provide consultancy on Biostats model development and deployment best practices; Review and optimise code, integrate existing modelling code into packages; Design and implement end to end modelling and deployment process on Databricks; Support and collaborate with adjacent teams (e.g. products, IT) to integrate the modelling solution; Continually innovate with the team and the customer on using modern tooling to improve model development and deployment; Skills and Experience A successful candidate will have demonstrated these experiences: A background or work experience in biostatistics or a similar discipline; Strong R programming, and R package development; Statistical model deployment, and end-to-end MLOps is nice to have; Having worked extensively on cloud infrastructure, preferably Databricks and Azure; Shiny development is nice to have; Can work with customer stakeholders to understand business processes and workflows, and can design solutions to optimize processes via streamlining and automation; DevOps experience and familiarity with software release process; Familiar with agile delivery methods. Working at Ascent At Ascent we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries. Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status. If you require any reasonable accommodation, please let us know when you apply. If you have any questions contact our Talent Acquisition team on . For more details about life at Ascent , check out our Life Page here .
AI Engineer Up to 95k + Bonus Location: London - 3 days a week in office My client is a leading financial services company who is in the process of growing their GenAI team. They are looking for an AI Engineer who will be an individual technical contributor to help build their NLP projects focusing on large language models. This role includes working the full life cycle from proof of concept to fine-tuning and deployment. Responsibilities: Identify where GenAI can be used to support the business and deliver measurable advantages. Collaborate with the Data Science and AI team to implement scalable AI applications. Improve and optimize the infrastructure by enhancing MLOps capabilities, CI/CD pipelines, user interfaces, and AI Python libraries. Develop effective prompts for AI models while fine-tuning them. Conduct thorough evaluations of third-party GenAI and LLM technologies. Take ownership of projects from initial research and development stages all the way through production deployment. Write production-ready code. What You Need to Succeed: Minimum of 3 years working as a Data Scientist or Machine Learning Engineer on machine learning projects. At least 2 years experience using LLMs. Strong background in Python. Exposure to MLOps including CI/CD, Docker, Kubernetes. Familiarity with software best practices. Experience working with non-technical stakeholders. Confident using AWS. Bonus if you have used Kafka, Databricks, and RAG. Unfortunately, sponsorship is not provided for this role. If you are interested, please apply here or reach out to .
Feb 17, 2025
Full time
AI Engineer Up to 95k + Bonus Location: London - 3 days a week in office My client is a leading financial services company who is in the process of growing their GenAI team. They are looking for an AI Engineer who will be an individual technical contributor to help build their NLP projects focusing on large language models. This role includes working the full life cycle from proof of concept to fine-tuning and deployment. Responsibilities: Identify where GenAI can be used to support the business and deliver measurable advantages. Collaborate with the Data Science and AI team to implement scalable AI applications. Improve and optimize the infrastructure by enhancing MLOps capabilities, CI/CD pipelines, user interfaces, and AI Python libraries. Develop effective prompts for AI models while fine-tuning them. Conduct thorough evaluations of third-party GenAI and LLM technologies. Take ownership of projects from initial research and development stages all the way through production deployment. Write production-ready code. What You Need to Succeed: Minimum of 3 years working as a Data Scientist or Machine Learning Engineer on machine learning projects. At least 2 years experience using LLMs. Strong background in Python. Exposure to MLOps including CI/CD, Docker, Kubernetes. Familiarity with software best practices. Experience working with non-technical stakeholders. Confident using AWS. Bonus if you have used Kafka, Databricks, and RAG. Unfortunately, sponsorship is not provided for this role. If you are interested, please apply here or reach out to .
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. As a Sr. Machine Learning Engineer, you will need to: Develop a state-of-the-art data science and ML runtime stack in a multi-cloud environment. Lead on software engineering and software design for ML components. Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity, and computer architecture. Manage the infrastructure and pipelines needed to bring models and code into production. Demonstrate an end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created. Build algorithms based on statistical modelling procedures and maintain scalable machine learning solutions in production. Apply machine learning algorithms and libraries. Research and implement best practices to improve the existing machine learning infrastructure. Collaborate with data engineers, application programmers, and data scientists. Desired skills: Qualification in a related field such as computer science, statistics, electrical engineering, mathematics, or physical sciences. Self-starter with excellent communication and time management skills. Strong computer programming skills in Python, R, and Java. Experience scaling machine learning on data and compute grids. Proficiency with Kubernetes, Docker, Linux, and cloud compute. Experience with Dask, Airflow, and MLflow. MLOps, CI, Git, and Agile processes. 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.
Feb 17, 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. As a Sr. Machine Learning Engineer, you will need to: Develop a state-of-the-art data science and ML runtime stack in a multi-cloud environment. Lead on software engineering and software design for ML components. Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity, and computer architecture. Manage the infrastructure and pipelines needed to bring models and code into production. Demonstrate an end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created. Build algorithms based on statistical modelling procedures and maintain scalable machine learning solutions in production. Apply machine learning algorithms and libraries. Research and implement best practices to improve the existing machine learning infrastructure. Collaborate with data engineers, application programmers, and data scientists. Desired skills: Qualification in a related field such as computer science, statistics, electrical engineering, mathematics, or physical sciences. Self-starter with excellent communication and time management skills. Strong computer programming skills in Python, R, and Java. Experience scaling machine learning on data and compute grids. Proficiency with Kubernetes, Docker, Linux, and cloud compute. Experience with Dask, Airflow, and MLflow. MLOps, CI, Git, and Agile processes. 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.
A world class Tech Organisation are looking for a Senior Data Scientist (MLOps) to join their division in London on a hybrid basis - opportunity to join a really innovative environment where you'll work with cutting edge technologies. The company: The organisation has been running very successfully for over twenty years and is recognised as a market leader in their sector. They have a global footprint, and their products are used by millions of users every single day. They are entering a really exciting period of growth and are recruiting for a number of new positions to the business as they've got pretty big plans for the next few years - so it's genuinely a great time to join. They thrive on a positive and welcoming culture making it a great place to work, so it probably comes as no surprise that they have really low attrition rates, as many of their staff members have long and successful careers with the business. The role: You'll be joining a multi-disciplinary Senior squad of roughly 6 consisting of Principal and Senior Software Engineers, Data Engineers, and Data Scientists, and will be tasked with supporting machine learning teams with deploying and maintaining models in production, ensuring they are reliable, scalable, and adhere to best practices. You'll be involved in optimizing model performance, mitigating risks, and refining deployment pipelines to meet governance and regulatory standards. You will collaborate with the ML platform team advocating for effective use of tools like feature stores and model registries. This role acts as the glue between data science and platform engineering teams, fostering MLOps best practices, addressing bottlenecks in inference and retraining pipelines, and resolving production issues to enhance system robustness and cost efficiency. Key skills and experience: Prior Senior Data Scientist with Machine Learning experience Strong understanding and experience with ML models and ML observability tools Strong Python and SQL experience Experience with Spark / Apache Airflow ML framework experience (PyTorch / TensorFlow / Scikit-Learn) Experience with cloud platforms (preferably AWS) Experience with containerization technologies Useful information: Their offices are based in central London where they support hybrid working; you'll be expected on-site about twice a week, however they are really flexible about what days. They're offering a very competitive salary from £70,000 - £95,000, depending on experience, with great benefits to match (which include multiple bonuses and more!). If you're keen to find out more, please reach out to Matthew MacAlpine at Cathcart Technology.
Feb 17, 2025
Full time
A world class Tech Organisation are looking for a Senior Data Scientist (MLOps) to join their division in London on a hybrid basis - opportunity to join a really innovative environment where you'll work with cutting edge technologies. The company: The organisation has been running very successfully for over twenty years and is recognised as a market leader in their sector. They have a global footprint, and their products are used by millions of users every single day. They are entering a really exciting period of growth and are recruiting for a number of new positions to the business as they've got pretty big plans for the next few years - so it's genuinely a great time to join. They thrive on a positive and welcoming culture making it a great place to work, so it probably comes as no surprise that they have really low attrition rates, as many of their staff members have long and successful careers with the business. The role: You'll be joining a multi-disciplinary Senior squad of roughly 6 consisting of Principal and Senior Software Engineers, Data Engineers, and Data Scientists, and will be tasked with supporting machine learning teams with deploying and maintaining models in production, ensuring they are reliable, scalable, and adhere to best practices. You'll be involved in optimizing model performance, mitigating risks, and refining deployment pipelines to meet governance and regulatory standards. You will collaborate with the ML platform team advocating for effective use of tools like feature stores and model registries. This role acts as the glue between data science and platform engineering teams, fostering MLOps best practices, addressing bottlenecks in inference and retraining pipelines, and resolving production issues to enhance system robustness and cost efficiency. Key skills and experience: Prior Senior Data Scientist with Machine Learning experience Strong understanding and experience with ML models and ML observability tools Strong Python and SQL experience Experience with Spark / Apache Airflow ML framework experience (PyTorch / TensorFlow / Scikit-Learn) Experience with cloud platforms (preferably AWS) Experience with containerization technologies Useful information: Their offices are based in central London where they support hybrid working; you'll be expected on-site about twice a week, however they are really flexible about what days. They're offering a very competitive salary from £70,000 - £95,000, depending on experience, with great benefits to match (which include multiple bonuses and more!). If you're keen to find out more, please reach out to Matthew MacAlpine at Cathcart Technology.
Sand Technologies is a fast-growing enterprise AI company that solves real-world problems for large blue-chip companies and governments worldwide. We're pioneers of meaningful AI : our solutions go far beyond chatbots. We are using data and AI to solve the world's biggest issues in telecommunications, sustainable water management, energy, healthcare, climate change, smart cities, and other areas that have a real impact on the world. We've grown our revenues by over 500% in the last 12 months while winning prestigious scientific and industry awards for our cutting-edge technology. We're underpinned by over 300 engineers and scientists working across Africa, Europe, the UK and the US. ABOUT THE ROLE We are seeking an experienced Senior Data Scientist to join our growing data science team. As a key contributor, the Senior Data Scientist will be responsible for leveraging their advanced data analysis and machine learning skills to solve complex business problems and drive data-driven decision-making within our organisation and those of our clients. The ideal candidate will have a strong background in statistics, machine learning and data analysis, along with a proven track record of delivering impactful insights and solutions - with demonstrated experience getting data science solutions into production. Key responsibilities are: Conduct independent (and collaborative) research and development of data science and machine learning models; develop cutting-edge data science and machine learning models that drive business value, leveraging internal and external data sources. Communicate data: skilled in decision science, domain modelling, predictive modelling, advanced analytics, MLOps, Research and AI Ethics, with the willingness to upskill others in these competencies. Collaborate with cross-functional teams: work closely with cross-functional teams to apply data science and machine learning models to business problems, ensuring that models are integrated into products and services. Communicate results and impact: communicate results and impact to stakeholders, including technical and non-technical audiences. Stay current with industry developments: keep up to date with developments across data science and machine learning, identifying opportunities for applied research and development. Mentor junior data scientists: mentor junior data scientists, fostering a culture of continuous improvement and innovation. REQUIREMENTS Fluency in Python with experience with at least one cloud provider; preferably Azure. Qualified experience in a related field, including, but not limited to, Data Science, Machine Learning & Computer Science. 5+ years of experience in data science and machine learning, with a strong track record of independent research and development a plus. Strong technical background, with expertise in a range of machine learning algorithms and data science techniques. Strong experience in delivery across the lifecycle of machine learning products, adhering to robust software engineering practices. Excellent communication, with the ability to communicate complex data science concepts to technical and non-technical audiences. Strong collaboration skills, with the ability to work effectively with cross-functional teams. Passion for data science and machine learning, with a desire to continuously learn and innovate. NICE TO HAVE Experience with GIS (raster & vector-based workflows), graph theory, time series modelling and XAI. Experience sharing research in academic or industry forums, and drive to expand Sand's industry footprint. Experience in retail, utilities (e.g. water or telco) or financial services industries. Would you like to join us as we work hard, have fun and make history? Apply for this job
Feb 16, 2025
Full time
Sand Technologies is a fast-growing enterprise AI company that solves real-world problems for large blue-chip companies and governments worldwide. We're pioneers of meaningful AI : our solutions go far beyond chatbots. We are using data and AI to solve the world's biggest issues in telecommunications, sustainable water management, energy, healthcare, climate change, smart cities, and other areas that have a real impact on the world. We've grown our revenues by over 500% in the last 12 months while winning prestigious scientific and industry awards for our cutting-edge technology. We're underpinned by over 300 engineers and scientists working across Africa, Europe, the UK and the US. ABOUT THE ROLE We are seeking an experienced Senior Data Scientist to join our growing data science team. As a key contributor, the Senior Data Scientist will be responsible for leveraging their advanced data analysis and machine learning skills to solve complex business problems and drive data-driven decision-making within our organisation and those of our clients. The ideal candidate will have a strong background in statistics, machine learning and data analysis, along with a proven track record of delivering impactful insights and solutions - with demonstrated experience getting data science solutions into production. Key responsibilities are: Conduct independent (and collaborative) research and development of data science and machine learning models; develop cutting-edge data science and machine learning models that drive business value, leveraging internal and external data sources. Communicate data: skilled in decision science, domain modelling, predictive modelling, advanced analytics, MLOps, Research and AI Ethics, with the willingness to upskill others in these competencies. Collaborate with cross-functional teams: work closely with cross-functional teams to apply data science and machine learning models to business problems, ensuring that models are integrated into products and services. Communicate results and impact: communicate results and impact to stakeholders, including technical and non-technical audiences. Stay current with industry developments: keep up to date with developments across data science and machine learning, identifying opportunities for applied research and development. Mentor junior data scientists: mentor junior data scientists, fostering a culture of continuous improvement and innovation. REQUIREMENTS Fluency in Python with experience with at least one cloud provider; preferably Azure. Qualified experience in a related field, including, but not limited to, Data Science, Machine Learning & Computer Science. 5+ years of experience in data science and machine learning, with a strong track record of independent research and development a plus. Strong technical background, with expertise in a range of machine learning algorithms and data science techniques. Strong experience in delivery across the lifecycle of machine learning products, adhering to robust software engineering practices. Excellent communication, with the ability to communicate complex data science concepts to technical and non-technical audiences. Strong collaboration skills, with the ability to work effectively with cross-functional teams. Passion for data science and machine learning, with a desire to continuously learn and innovate. NICE TO HAVE Experience with GIS (raster & vector-based workflows), graph theory, time series modelling and XAI. Experience sharing research in academic or industry forums, and drive to expand Sand's industry footprint. Experience in retail, utilities (e.g. water or telco) or financial services industries. Would you like to join us as we work hard, have fun and make history? Apply for this job
Senior Machine Learning Engineer page is loaded Senior Machine Learning Engineer Job Title Senior Machine Learning Engineer Job Description Here at UnderwriteMe, we are on a mission to make life insurance more widely accessible and ensure people and their loved ones are protected when the inevitable happens. We are doing this by reshaping the future of insurance through innovative and global technology products. As we work on solving complex problems that will change how lives are protected, we operate in a fast-paced, challenging environment. The type of people who work for us embrace and relish the challenge and in turn the sense of achievement in helping to solve these problems and making an impact on how lives are protected. We place a great emphasis on challenging the status quo and constantly striving to improve on what we do. We want to get to the point where we are leading the way in the software industry. Being owned by Pacific Life, we have the best of both worlds - the freedom to experiment like a start-up with the stability of our parent company. If you want to bring new ideas to the table and be part of a team working on innovative technology, come and join us. Job Description We are currently seeking an innovative Senior AI / Machine Learning Engineer to join UnderwriteMe within the Text Mining team. This role is pivotal in driving the creation of an innovative product set to disrupt the insurance market. We are looking for candidates with a proven track record in the design and deployment of LLMs for applications within the NLP space, as well as established experience collaborating with product managers, developers, and fellow data scientists within a product-led SaaS environment. What will you be doing? Working within a dynamic cross-functional team that operates based on OKRs (Objectives and Key Results), fostering collaboration among developers, QAs, data scientists, and data analysts, to consistently achieve tangible outcomes aligned with OKR targets. Employing your deep understanding of AI and staying current with industry trends, you will play a pivotal role in shaping project execution by contributing to the OKR formulation process, and directly working towards those. Crafting and refining Machine Learning models and algorithms to address complex product challenges. Devising and implementing innovative data analysis and data mining strategies, extracting valuable insights from diverse data sources. Harnessing the power of natural language processing (NLP) techniques to extract pertinent information from textual data. Formulating predictive models to anticipate future trends, enabling informed decision-making. Constructing automated ML workflows and integrating CI/CD practices to ensure seamless model deployment and recurrent refinement. Architecting, deploying, and overseeing APIs for effective model delivery, while also leveraging external APIs to enhance functionality. Establishing monitoring and logging systems to evaluate model performance, detect anomalies, and guarantee consistent model dependability and accessibility. Collaborating closely with DevOps and IT teams to orchestrate the smooth transition of ML models into production environments, upholding scalability and security standards. Technical Requirements Applied AI and NLP Expertise: Proven experience in applying AI techniques to solve real-world NLP problems, with a focus on delivering scalable, production-ready solutions. Hands-on expertise in fine-tuning pre-trained models such as BERT, GPT, or similar transformer-based architectures for domain-specific tasks in the NLP space. Experience in integrating Large Language Models (LLMs) into applications, with a focus on enabling structured responses, such as through APIs or with purpose-built LLMs. Knowledge of prompt engineering techniques, including designing effective prompts for different tasks, optimizing input/output formats, and leveraging techniques such as few-shot learning. Advanced Python Development Proficiency: Experience with OOP, and data-validation libraries such as Pydantic. Deep familiarity with Python and its ecosystem for AI/ML, including libraries like PyTorch, Hugging Face Transformers, and scikit-learn. Experience with data manipulation using libraries such as Pandas and NumPy, and familiarity with parallelization or asynchronous programming. Proficiency in Test-Driven Development (TDD) and an understanding of Python testing libraries such as Pytest. Cloud, CI/CD & MLOps Knowledge Experience taking models from experiments through to production deployments, with tools such as Docker, Kubernetes & serverless alternatives such as AWS Lambda. Familiarity with MLOps tools such as MLFlow, Kubeflow or Sagemaker. A strong knowledge of cloud platforms (ideally AWS) and their respective services for deploying robust, AI-heavy applications. Bonus Experience Experience with named entity recognition / recommendation systems. Knowledge of Gitlab's CI/CD (or Github Actions). Basic understanding of Java (ideally with Spring Boot). Experience working in a fast-paced, product-led environment. Experience working with data within the insurance / healthcare sector. Ideal Qualities Entrepreneurial Mindset The ideal candidate will possess a product-led, entrepreneurial approach to their work, constantly evaluating new technologies which may facilitate improvements to the product and directly relate back to OKRs. Experience in a fast-paced, start-up environment would be a bonus, with the ability to work both proactively and reactively. Exceptional Communicator / Collaborator The ability to confidently communicate technical concepts to both a technical and non-technical audience (both verbally & written), for example when discussing results, technical approaches, or resolutions to potential blockers. Extensive experience of collaboration with engineers, architects & product teams to enable robust solutions to solve real, well-defined problems. ML/AI Champion A deep appreciation for the possibilities of ML/AI on the application layer, and a strong desire to work on state-of-the-art applications where your ideas could directly translate to enormous business impact. Key Characteristics that we look for when interviewing and that help people thrive at UnderwriteMe: Entrepreneurial: Shows initiative and a proactive approach to identifying and seizing the right opportunities. Shows resilience in the face of challenges and maintains a bias for action. Curiosity: Exhibits a strong desire to learn and understand new concepts. Approaches problems with creativity and persistence, consistently seeking effective solutions. Technically Great: Possesses a deep understanding of relevant technical skills and knowledge applicable to their role. Applies technical expertise effectively to solve complex issues. Strategic Thinker: Understands the broader impact of their role and decisions. Effectively balances immediate actions with strategic planning to ensure alignment with medium-term and long-term organisational objectives. Impact Oriented: Driven by meaningful results, prioritising actions that deliver significant outcomes and contribute to team success. Motivated by value creation and business impact, not titles or status. Adaptability: Open to feedback and willing to learn from others. Shows a growth mindset and the ability to adapt and improve. About UnderwriteMe UnderwriteMe is an Insurtech software business and subsidiary of Pacific Life Re (PL Re), a global life and pensions reinsurance firm. We have a vision to help everyone purchase protection insurance by using data and disruptive technology to transform our partners and markets in order to make their underwriting processes as quick and efficient as possible. Our core products are: a best-in-market Underwriting Rules Engine which can be used to automate any structured data within the underwriting journey, and which is sold in the UK & Ireland, Asia-Pacific and North America the Protection Platform, an end-to-end quote and buy marketplace for Protection in the UK Working for UnderwriteMe Joining UnderwriteMe means being part of a technology company that is committed to bringing a fresh and dynamic approach to insurance. You'd be working with a team of highly technical experts made up of people with backgrounds in software, fintech, and insurance. Every person in our global team is valued for the unique qualities they bring to our business and we seek to build their expertise and support their individual ambitions at every step. Of course, we take our work seriously and we know our team can operate under great pressure. We work hard and thrive on achievement, but we also know how to have fun and relax too. We regularly host a range of team building days to strengthen our team's connection with each other and reflect on their successes. Providing employees with a healthy work-life balance is very important to our culture. We have a wide range of employee benefits and we host regular social activities and wellbeing initiatives. We are also committed to supporting our employee's involvement in their communities, by actively fundraising, hosting charity events . click apply for full job details
Feb 16, 2025
Full time
Senior Machine Learning Engineer page is loaded Senior Machine Learning Engineer Job Title Senior Machine Learning Engineer Job Description Here at UnderwriteMe, we are on a mission to make life insurance more widely accessible and ensure people and their loved ones are protected when the inevitable happens. We are doing this by reshaping the future of insurance through innovative and global technology products. As we work on solving complex problems that will change how lives are protected, we operate in a fast-paced, challenging environment. The type of people who work for us embrace and relish the challenge and in turn the sense of achievement in helping to solve these problems and making an impact on how lives are protected. We place a great emphasis on challenging the status quo and constantly striving to improve on what we do. We want to get to the point where we are leading the way in the software industry. Being owned by Pacific Life, we have the best of both worlds - the freedom to experiment like a start-up with the stability of our parent company. If you want to bring new ideas to the table and be part of a team working on innovative technology, come and join us. Job Description We are currently seeking an innovative Senior AI / Machine Learning Engineer to join UnderwriteMe within the Text Mining team. This role is pivotal in driving the creation of an innovative product set to disrupt the insurance market. We are looking for candidates with a proven track record in the design and deployment of LLMs for applications within the NLP space, as well as established experience collaborating with product managers, developers, and fellow data scientists within a product-led SaaS environment. What will you be doing? Working within a dynamic cross-functional team that operates based on OKRs (Objectives and Key Results), fostering collaboration among developers, QAs, data scientists, and data analysts, to consistently achieve tangible outcomes aligned with OKR targets. Employing your deep understanding of AI and staying current with industry trends, you will play a pivotal role in shaping project execution by contributing to the OKR formulation process, and directly working towards those. Crafting and refining Machine Learning models and algorithms to address complex product challenges. Devising and implementing innovative data analysis and data mining strategies, extracting valuable insights from diverse data sources. Harnessing the power of natural language processing (NLP) techniques to extract pertinent information from textual data. Formulating predictive models to anticipate future trends, enabling informed decision-making. Constructing automated ML workflows and integrating CI/CD practices to ensure seamless model deployment and recurrent refinement. Architecting, deploying, and overseeing APIs for effective model delivery, while also leveraging external APIs to enhance functionality. Establishing monitoring and logging systems to evaluate model performance, detect anomalies, and guarantee consistent model dependability and accessibility. Collaborating closely with DevOps and IT teams to orchestrate the smooth transition of ML models into production environments, upholding scalability and security standards. Technical Requirements Applied AI and NLP Expertise: Proven experience in applying AI techniques to solve real-world NLP problems, with a focus on delivering scalable, production-ready solutions. Hands-on expertise in fine-tuning pre-trained models such as BERT, GPT, or similar transformer-based architectures for domain-specific tasks in the NLP space. Experience in integrating Large Language Models (LLMs) into applications, with a focus on enabling structured responses, such as through APIs or with purpose-built LLMs. Knowledge of prompt engineering techniques, including designing effective prompts for different tasks, optimizing input/output formats, and leveraging techniques such as few-shot learning. Advanced Python Development Proficiency: Experience with OOP, and data-validation libraries such as Pydantic. Deep familiarity with Python and its ecosystem for AI/ML, including libraries like PyTorch, Hugging Face Transformers, and scikit-learn. Experience with data manipulation using libraries such as Pandas and NumPy, and familiarity with parallelization or asynchronous programming. Proficiency in Test-Driven Development (TDD) and an understanding of Python testing libraries such as Pytest. Cloud, CI/CD & MLOps Knowledge Experience taking models from experiments through to production deployments, with tools such as Docker, Kubernetes & serverless alternatives such as AWS Lambda. Familiarity with MLOps tools such as MLFlow, Kubeflow or Sagemaker. A strong knowledge of cloud platforms (ideally AWS) and their respective services for deploying robust, AI-heavy applications. Bonus Experience Experience with named entity recognition / recommendation systems. Knowledge of Gitlab's CI/CD (or Github Actions). Basic understanding of Java (ideally with Spring Boot). Experience working in a fast-paced, product-led environment. Experience working with data within the insurance / healthcare sector. Ideal Qualities Entrepreneurial Mindset The ideal candidate will possess a product-led, entrepreneurial approach to their work, constantly evaluating new technologies which may facilitate improvements to the product and directly relate back to OKRs. Experience in a fast-paced, start-up environment would be a bonus, with the ability to work both proactively and reactively. Exceptional Communicator / Collaborator The ability to confidently communicate technical concepts to both a technical and non-technical audience (both verbally & written), for example when discussing results, technical approaches, or resolutions to potential blockers. Extensive experience of collaboration with engineers, architects & product teams to enable robust solutions to solve real, well-defined problems. ML/AI Champion A deep appreciation for the possibilities of ML/AI on the application layer, and a strong desire to work on state-of-the-art applications where your ideas could directly translate to enormous business impact. Key Characteristics that we look for when interviewing and that help people thrive at UnderwriteMe: Entrepreneurial: Shows initiative and a proactive approach to identifying and seizing the right opportunities. Shows resilience in the face of challenges and maintains a bias for action. Curiosity: Exhibits a strong desire to learn and understand new concepts. Approaches problems with creativity and persistence, consistently seeking effective solutions. Technically Great: Possesses a deep understanding of relevant technical skills and knowledge applicable to their role. Applies technical expertise effectively to solve complex issues. Strategic Thinker: Understands the broader impact of their role and decisions. Effectively balances immediate actions with strategic planning to ensure alignment with medium-term and long-term organisational objectives. Impact Oriented: Driven by meaningful results, prioritising actions that deliver significant outcomes and contribute to team success. Motivated by value creation and business impact, not titles or status. Adaptability: Open to feedback and willing to learn from others. Shows a growth mindset and the ability to adapt and improve. About UnderwriteMe UnderwriteMe is an Insurtech software business and subsidiary of Pacific Life Re (PL Re), a global life and pensions reinsurance firm. We have a vision to help everyone purchase protection insurance by using data and disruptive technology to transform our partners and markets in order to make their underwriting processes as quick and efficient as possible. Our core products are: a best-in-market Underwriting Rules Engine which can be used to automate any structured data within the underwriting journey, and which is sold in the UK & Ireland, Asia-Pacific and North America the Protection Platform, an end-to-end quote and buy marketplace for Protection in the UK Working for UnderwriteMe Joining UnderwriteMe means being part of a technology company that is committed to bringing a fresh and dynamic approach to insurance. You'd be working with a team of highly technical experts made up of people with backgrounds in software, fintech, and insurance. Every person in our global team is valued for the unique qualities they bring to our business and we seek to build their expertise and support their individual ambitions at every step. Of course, we take our work seriously and we know our team can operate under great pressure. We work hard and thrive on achievement, but we also know how to have fun and relax too. We regularly host a range of team building days to strengthen our team's connection with each other and reflect on their successes. Providing employees with a healthy work-life balance is very important to our culture. We have a wide range of employee benefits and we host regular social activities and wellbeing initiatives. We are also committed to supporting our employee's involvement in their communities, by actively fundraising, hosting charity events . click apply for full job details
Our Team The Data team is a cross-functional team of experienced and passionate data enthusiasts. We use and own modern data tools (Fivetran, Snowflake, dbt, Looker) and cover a diverse range of data problems and stakeholders. What we're offering you: Flexible hours and summer hours Competitive holiday benefits (25 days a year paid holiday, plus 8 bank holidays) Work from anywhere for 2 weeks a year Life Assurance to protect your loved ones Benefits allowance for health, dental, and vision coverage Defined Contribution Pension and Salary Sacrifice Scheme Be Well: Our award-winning wellbeing and mental health programme to support all MVFers and their families Family Forward support for our MVF parents and their mini-mes Free breakfast when in the office The Role MVF is seeking an exceptionally skilled and driven Data Scientist to deliver upon our plans for growth. This is a hybrid-role across Data Science and ML Engineering: we would like someone with either a background in machine learning engineering, but a desire to learn and grow in creating data science products or vice versa. You will be pivotal in building our Data Science and Machine Learning capabilities in order to hit our strategic goals. These are the problem spaces in our backlog: Recommendation systems - predicting cross-sell opportunities Imbalanced classification - predicting the value of leads Optimisation (e.g., Linear programming) - optimising which leads / products we sell to which client Forecasting - predicting client demand Experimentation You will be communicative, commercially-minded, with a strong team-spirit. You will enjoy collaborating with stakeholders, as you will be delivering value across the business, from Paid Marketing to Operations and Sales. Reporting to the Head of Data, you will collaborate closely with a Senior Data Scientist to deliver upon our roadmap. You will have support from Analytics Engineering teams to build and maintain pipelines and from Software Engineering teams to productionize models. The ideal candidate will relish the opportunity to understand their stakeholders more deeply and define where they think they (and Data Science) can add the most value. With support, they will be excited to build data science models from inception to production. Responsibilities: Build and manage a Machine Learning Platform by selecting and integrating tools that complement the existing data ecosystem (AWS, Snowflake) Productionise ML models, ensuring that they are running scalably, efficiently and robustly Develop Data Science/Machine Learning products addressing key business needs in accordance with ML best practices What Success Looks Like: Building effective and efficient Data Science models that deliver measurable business value Ensuring Machine Learning is executed using best-in-class tools, techniques, and approaches within budget and time constraints Ensuring exceptional data integrity and quality across all projects Develop ML monitoring and observability pipeline for deployed models Our Ideal MVF'er: 3+ years of experience in a dedicated Data Science/Machine Learning role; additional data or commercial experience is a plus Strong understanding of mathematical background, focusing on statistics and linear algebra Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL Experience with Snowflake (function & procedure) and Snowpark is a plus Experience with unit and integration tests Strong understanding of machine learning algorithms and best practices Vision for MLOps best practices, particularly regarding version control, Docker, MLFlow, CI/CD Strong communication skills, with the ability to engage effectively with diverse stakeholders Good commercial understanding; knowledge of marketing operations is a bonus
Feb 15, 2025
Full time
Our Team The Data team is a cross-functional team of experienced and passionate data enthusiasts. We use and own modern data tools (Fivetran, Snowflake, dbt, Looker) and cover a diverse range of data problems and stakeholders. What we're offering you: Flexible hours and summer hours Competitive holiday benefits (25 days a year paid holiday, plus 8 bank holidays) Work from anywhere for 2 weeks a year Life Assurance to protect your loved ones Benefits allowance for health, dental, and vision coverage Defined Contribution Pension and Salary Sacrifice Scheme Be Well: Our award-winning wellbeing and mental health programme to support all MVFers and their families Family Forward support for our MVF parents and their mini-mes Free breakfast when in the office The Role MVF is seeking an exceptionally skilled and driven Data Scientist to deliver upon our plans for growth. This is a hybrid-role across Data Science and ML Engineering: we would like someone with either a background in machine learning engineering, but a desire to learn and grow in creating data science products or vice versa. You will be pivotal in building our Data Science and Machine Learning capabilities in order to hit our strategic goals. These are the problem spaces in our backlog: Recommendation systems - predicting cross-sell opportunities Imbalanced classification - predicting the value of leads Optimisation (e.g., Linear programming) - optimising which leads / products we sell to which client Forecasting - predicting client demand Experimentation You will be communicative, commercially-minded, with a strong team-spirit. You will enjoy collaborating with stakeholders, as you will be delivering value across the business, from Paid Marketing to Operations and Sales. Reporting to the Head of Data, you will collaborate closely with a Senior Data Scientist to deliver upon our roadmap. You will have support from Analytics Engineering teams to build and maintain pipelines and from Software Engineering teams to productionize models. The ideal candidate will relish the opportunity to understand their stakeholders more deeply and define where they think they (and Data Science) can add the most value. With support, they will be excited to build data science models from inception to production. Responsibilities: Build and manage a Machine Learning Platform by selecting and integrating tools that complement the existing data ecosystem (AWS, Snowflake) Productionise ML models, ensuring that they are running scalably, efficiently and robustly Develop Data Science/Machine Learning products addressing key business needs in accordance with ML best practices What Success Looks Like: Building effective and efficient Data Science models that deliver measurable business value Ensuring Machine Learning is executed using best-in-class tools, techniques, and approaches within budget and time constraints Ensuring exceptional data integrity and quality across all projects Develop ML monitoring and observability pipeline for deployed models Our Ideal MVF'er: 3+ years of experience in a dedicated Data Science/Machine Learning role; additional data or commercial experience is a plus Strong understanding of mathematical background, focusing on statistics and linear algebra Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL Experience with Snowflake (function & procedure) and Snowpark is a plus Experience with unit and integration tests Strong understanding of machine learning algorithms and best practices Vision for MLOps best practices, particularly regarding version control, Docker, MLFlow, CI/CD Strong communication skills, with the ability to engage effectively with diverse stakeholders Good commercial understanding; knowledge of marketing operations is a bonus
Our Story Hello there. We're Zopa. We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don't like about finance and does the opposite. We're redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre - we've built a business that empowers everyone to aim high, every day, to move finance forward. Find out more about our fantastic offerings at ! We're incredibly proud of our achievements and none of it would be possible without the amazing team here. It's not just industry awards we're winning, we've also been named in the top three UK's Most Loved Workplaces. If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you'll thrive here at Zopa, so join us, and make it count. Want to see us in action? Follow us on At Zopa, data and the application of machine learning is at the heart of what we do and the products we bring to market. Within consumer financial services we have pioneered modern data science techniques using advanced ML models for more than 7 years. Today more than 98% of our lending decisions are driven by ML models - so it's safe to say it is seriously impactful work! A day in the life Lead high-impact projects related to data and modelling, with a specific focus on impairment. Own the full lifecycle of your project, including the discovery of business opportunities through statistical analysis, data curation and processing, feature engineering, development of machine learning models, deployment to production, and model monitoring. Conduct regular analysis of model performance, including tracking key metrics, identifying anomalies, and diagnosing potential issues to ensure models remain robust and effective. Monitor model results and business impact, proactively identifying risks and implementing improvements when necessary. Engage with senior stakeholders across the company, influence critical business decisions, and drive projects that impact on our products and millions of customers. Work closely with product managers, analysts, data engineers, and software engineers to advance your projects. Support other data scientists through knowledge sharing, code review, collaboration on common utilities, and analytical infrastructure. About you You are proficient in Python and SQL, with a good understanding of best practices in software engineering. You have in-depth knowledge of machine learning algorithms (e.g., logistic regression, random forest, gradient boosted trees, neural networks, k-means, etc.) and statistics (e.g., Monte Carlo, hypothesis testing, confidence intervals, maximum likelihood, bootstrap, Bayesian inference). You have a strong understanding of effective MLOps processes, ensuring robust and scalable machine learning model deployment, monitoring, and maintenance. You love data. You are passionate about tackling real-world problems with data and have a proven track record of solving complex data problems that deliver business value. You are a scientist-curious, eager to learn, and willing to challenge the status quo. You embrace innovation for the benefit of our customers and the world. You are a great communicator who enjoys influencing decision-makers with insights from data. You can foster mutual understanding and trust with stakeholders from different backgrounds. You are a team player, striving for the success of the team and collaborating with an open mind. You have a can-do attitude and a strong commitment to getting the job done. You have working knowledge of Git, Docker, CI/CD, and REST APIs. Diversity Statement Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments.
Feb 15, 2025
Full time
Our Story Hello there. We're Zopa. We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don't like about finance and does the opposite. We're redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre - we've built a business that empowers everyone to aim high, every day, to move finance forward. Find out more about our fantastic offerings at ! We're incredibly proud of our achievements and none of it would be possible without the amazing team here. It's not just industry awards we're winning, we've also been named in the top three UK's Most Loved Workplaces. If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you'll thrive here at Zopa, so join us, and make it count. Want to see us in action? Follow us on At Zopa, data and the application of machine learning is at the heart of what we do and the products we bring to market. Within consumer financial services we have pioneered modern data science techniques using advanced ML models for more than 7 years. Today more than 98% of our lending decisions are driven by ML models - so it's safe to say it is seriously impactful work! A day in the life Lead high-impact projects related to data and modelling, with a specific focus on impairment. Own the full lifecycle of your project, including the discovery of business opportunities through statistical analysis, data curation and processing, feature engineering, development of machine learning models, deployment to production, and model monitoring. Conduct regular analysis of model performance, including tracking key metrics, identifying anomalies, and diagnosing potential issues to ensure models remain robust and effective. Monitor model results and business impact, proactively identifying risks and implementing improvements when necessary. Engage with senior stakeholders across the company, influence critical business decisions, and drive projects that impact on our products and millions of customers. Work closely with product managers, analysts, data engineers, and software engineers to advance your projects. Support other data scientists through knowledge sharing, code review, collaboration on common utilities, and analytical infrastructure. About you You are proficient in Python and SQL, with a good understanding of best practices in software engineering. You have in-depth knowledge of machine learning algorithms (e.g., logistic regression, random forest, gradient boosted trees, neural networks, k-means, etc.) and statistics (e.g., Monte Carlo, hypothesis testing, confidence intervals, maximum likelihood, bootstrap, Bayesian inference). You have a strong understanding of effective MLOps processes, ensuring robust and scalable machine learning model deployment, monitoring, and maintenance. You love data. You are passionate about tackling real-world problems with data and have a proven track record of solving complex data problems that deliver business value. You are a scientist-curious, eager to learn, and willing to challenge the status quo. You embrace innovation for the benefit of our customers and the world. You are a great communicator who enjoys influencing decision-makers with insights from data. You can foster mutual understanding and trust with stakeholders from different backgrounds. You are a team player, striving for the success of the team and collaborating with an open mind. You have a can-do attitude and a strong commitment to getting the job done. You have working knowledge of Git, Docker, CI/CD, and REST APIs. Diversity Statement Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments.
Senior Data Scientist (GenAI) required for a London, globally known software business with hybrid working. I am working with a large Global software organisation to join their team in London, where you will be working on developing world-class products and services in a hugely innovative environment. The company: The organisation has been around for over 20 years and has over 1,000 members of staff. They operate across a very specific area of online sales and are a large-scale tech company. They have offices in London and Scotland and are continuing to grow and be productive. They are one of Scotland's best known tech organisations, and they thrive on a positive and welcoming culture, making it one of the best places to work. They are a hybrid organisation and ask all employees to be in office twice a week in London - what days those are, are flexible. You will join a team of 7 Engineers and Scientists to work together to guarantee smooth deployment, monitoring, and scaling of solutions in live production environments. The role: You will be utilising advanced technologies such as GenAI and recommender systems with the goal to enhance this content and build a leading platform for travel discovery. You will lead high-impact initiatives with an experimental approach. You'll be involved in the entire data science lifecycle, from defining problems and exploring data to developing and evaluating models. You will also work closely with engineering teams to ensure the smooth deployment, monitoring, and scaling of solutions in production environments. You will develop and implement advanced Generative AI and recommender system solutions to improve travel content and user experiences. This includes researching LLMs, multimodal models, and content-based filtering to personalise recommendations. As well as this you will be involved in designing evaluation frameworks to ensure content quality and relevance. You will collaborate with cross-functional teams to integrate AI-powered solutions into the Explore platform, optimise models for better content discovery, and support the deployment and maintenance of machine learning models in production. Staying updated on AI advancements; you'll continuously experiment with new methodologies to enhance the user experience. Key skills: Senior Data Scientist experience Commercial experience in Generative AI and recommender systems Strong Python and SQL experience Spark / Apache Airflow LLM experience MLOps experience AWS Additional information: This role offers a strong salary of up to 95,000 (Depending on experience / skill) with hybrid working (2 days per week in office). Additionally, they offer a range of employee benefits including a few different bonuses. This is an opportunity to work with one of the UKs best software businesses so if you think that you could be the right fit and this is the next step in your career, then please apply or contact Matthew MacAlpine at Cathcart Technology on (phone number removed).
Feb 13, 2025
Full time
Senior Data Scientist (GenAI) required for a London, globally known software business with hybrid working. I am working with a large Global software organisation to join their team in London, where you will be working on developing world-class products and services in a hugely innovative environment. The company: The organisation has been around for over 20 years and has over 1,000 members of staff. They operate across a very specific area of online sales and are a large-scale tech company. They have offices in London and Scotland and are continuing to grow and be productive. They are one of Scotland's best known tech organisations, and they thrive on a positive and welcoming culture, making it one of the best places to work. They are a hybrid organisation and ask all employees to be in office twice a week in London - what days those are, are flexible. You will join a team of 7 Engineers and Scientists to work together to guarantee smooth deployment, monitoring, and scaling of solutions in live production environments. The role: You will be utilising advanced technologies such as GenAI and recommender systems with the goal to enhance this content and build a leading platform for travel discovery. You will lead high-impact initiatives with an experimental approach. You'll be involved in the entire data science lifecycle, from defining problems and exploring data to developing and evaluating models. You will also work closely with engineering teams to ensure the smooth deployment, monitoring, and scaling of solutions in production environments. You will develop and implement advanced Generative AI and recommender system solutions to improve travel content and user experiences. This includes researching LLMs, multimodal models, and content-based filtering to personalise recommendations. As well as this you will be involved in designing evaluation frameworks to ensure content quality and relevance. You will collaborate with cross-functional teams to integrate AI-powered solutions into the Explore platform, optimise models for better content discovery, and support the deployment and maintenance of machine learning models in production. Staying updated on AI advancements; you'll continuously experiment with new methodologies to enhance the user experience. Key skills: Senior Data Scientist experience Commercial experience in Generative AI and recommender systems Strong Python and SQL experience Spark / Apache Airflow LLM experience MLOps experience AWS Additional information: This role offers a strong salary of up to 95,000 (Depending on experience / skill) with hybrid working (2 days per week in office). Additionally, they offer a range of employee benefits including a few different bonuses. This is an opportunity to work with one of the UKs best software businesses so if you think that you could be the right fit and this is the next step in your career, then please apply or contact Matthew MacAlpine at Cathcart Technology on (phone number removed).
A world class Tech Organisation are looking for a Senior Data Scientist (MLOps) to join their division in London on a hybrid basis - opportunity to join a really innovative environment where you'll work with cutting edge technologies. The company: The organisation have been running very successfully now for over twenty years and are recognised as market leaders in their sector. They have a global footprint, and their products are used by millions of users every single day. They are entering a really exciting period of growth, and are recruiting for a number of new positions to the business as they've got pretty big plans for the next few years - so it's genuinely a great time to join. They thrive on a positive and welcoming culture making it a great place to work, so it probably comes as no surprise that they have really low attrition rates, as so many of their staff members have long and successful careers with the business. The role: You'll be joining a multi-disciplinary Senior squad of roughly 6 consisting of Principle and Senior Software Engineers, Data Engineers and Data Scientists, and will be tasked with supporting machine learning teams with deploying and maintaining models in production, ensuring they are reliable, scalable, and adhere to best practices. You'll be involved optimizing model performance, mitigating risks, and refining deployment pipelines to meet governance and regulatory standards. You will collaborate with the ML platform team advocating for effective use of tools like feature stores and model registries. This role acts as the glue between data science and platform engineering teams, fostering MLOps best practices, addressing bottlenecks in inference and retraining pipelines, and resolving production issues to enhance system robustness and cost efficiency. Key skills and experience: Prior Senior Data Scientist with Machine Learning experience Strong understanding and experience with ML models and ML observability tools Strong Python and SQL experience Spark / Apache Airflow ML frame work experience (PyTorch / TensorFlow / Scikit-Learn) Experience with cloud platforms (preferably AWS) Experience with containerisation technologies Useful information: Their offices are based in central London where they support hybrid working, you'll be expected onsite about twice a week, however they are really flexible about what days. They're offering a very competitive salary from 70,000 - 95,000, depending on experience with great benefits to match (which include multiple bonuses and more!). If you're keen to find out more, please reach out to Matthew MacAlpine at Cathcart Technology.
Feb 13, 2025
Full time
A world class Tech Organisation are looking for a Senior Data Scientist (MLOps) to join their division in London on a hybrid basis - opportunity to join a really innovative environment where you'll work with cutting edge technologies. The company: The organisation have been running very successfully now for over twenty years and are recognised as market leaders in their sector. They have a global footprint, and their products are used by millions of users every single day. They are entering a really exciting period of growth, and are recruiting for a number of new positions to the business as they've got pretty big plans for the next few years - so it's genuinely a great time to join. They thrive on a positive and welcoming culture making it a great place to work, so it probably comes as no surprise that they have really low attrition rates, as so many of their staff members have long and successful careers with the business. The role: You'll be joining a multi-disciplinary Senior squad of roughly 6 consisting of Principle and Senior Software Engineers, Data Engineers and Data Scientists, and will be tasked with supporting machine learning teams with deploying and maintaining models in production, ensuring they are reliable, scalable, and adhere to best practices. You'll be involved optimizing model performance, mitigating risks, and refining deployment pipelines to meet governance and regulatory standards. You will collaborate with the ML platform team advocating for effective use of tools like feature stores and model registries. This role acts as the glue between data science and platform engineering teams, fostering MLOps best practices, addressing bottlenecks in inference and retraining pipelines, and resolving production issues to enhance system robustness and cost efficiency. Key skills and experience: Prior Senior Data Scientist with Machine Learning experience Strong understanding and experience with ML models and ML observability tools Strong Python and SQL experience Spark / Apache Airflow ML frame work experience (PyTorch / TensorFlow / Scikit-Learn) Experience with cloud platforms (preferably AWS) Experience with containerisation technologies Useful information: Their offices are based in central London where they support hybrid working, you'll be expected onsite about twice a week, however they are really flexible about what days. They're offering a very competitive salary from 70,000 - 95,000, depending on experience with great benefits to match (which include multiple bonuses and more!). If you're keen to find out more, please reach out to Matthew MacAlpine at Cathcart Technology.
causaLens is pioneering the world's first platform for building AI data scientists - empowering everyone to create and deploy their own data science agents in days. Our platform enables teams to collaborate in a multi-agent environment, ensuring human oversight across the entire workflow and making AI-powered data science trustworthy and accessible to everyone - from analysts to business leaders. We power industry leaders, including Cisco, Johnson & Johnson, Canon, and McCann Worldgroup, to accelerate and scale their data science capability. Join us to build the World's First Platform for AI Data Scientists. What we are looking for We are looking for a Senior Data Scientist based in London to join our mission to create AI Data Scientists to radically advance decision-making for leading enterprises. You will join a team of 9 Data Scientists. We hire the top 1% of Data Science talent to create an intellectually stimulating environment where you can thrive and learn. You will be helping leading enterprises build their custom data science agents and help our users get the maximum out of the platform. What you will do As a Senior Data Scientist at causaLens, you will play a pivotal role in advancing ourdecision-makingtechnology. This position demands a strong foundation in data science, particularly but not limited to time series, and using Python as the primary programming language. Some of your responsibilities will include: Using our Agentic AI framework to build data science solutions and models, using our platform on client-supplied data sets and use cases. Collaborating directly with business stakeholders to integrate domain knowledge into the modelling process, demonstrating how insights can enhance decision workflows. Crafting long-term visions and plans, in collaboration with clients and causaLens stakeholders, to successfully deploy agentic workflowsinto customers' strategies. Work closely with the product and engineering teams to shape the development of our platform. Communicate technical topics to non-technical audiences. At least 2 years of commercial data science experience using Python Please note that this and the following bullet imply a significant breadth and depth of technical skills we will be testing for during the interview process - e.g., Statistics; other programming/scripting languages; solid understanding and experience with Cloud technologies; OOP, TDD, GitHub/Actions/Flow, and MLOps best practices; classical ML algorithms; at least some NLP, etc. Strong academic record in a quantitative field (MEng, MSci, EngD or PhD) Excellent and proven communication and teamwork skills Previous experience in high-growth technology companies or technical consultancy is a plus Previous experience in sales, pre-sales, and/or other technical evangelism is a plus Experience with consulting and/or customer-facing roles, especially in the supply chain, demand forecasting, retail/cpg, manufacturing, marketing, financial services, or the public sector is a plus Experience with LLM and RAG, GenAI, and agentic workflows is a plus Benefits We care about our people's lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration, and a good work-life balance, we offer the following: 25 days of paid holiday, plus bank holidays buy/sell holiday options (up to 5 days) Share options Pension scheme Happy hours and team outings Referral bonus program Cycle to work scheme Friendly tech purchases Benefits to choose from include Health/Dental Insurance Special Discounts Learning and development budget Work abroad days Office snacks and drinks Logistics Our interview process consists of a few screening interviews and a "Day 0" which is spent with the team (in-office). We will always be as transparent as possible so please don't hesitate to reach out if you have any questions. If you require accommodations during the application process or in your role at causaLens, please contact us at
Feb 11, 2025
Full time
causaLens is pioneering the world's first platform for building AI data scientists - empowering everyone to create and deploy their own data science agents in days. Our platform enables teams to collaborate in a multi-agent environment, ensuring human oversight across the entire workflow and making AI-powered data science trustworthy and accessible to everyone - from analysts to business leaders. We power industry leaders, including Cisco, Johnson & Johnson, Canon, and McCann Worldgroup, to accelerate and scale their data science capability. Join us to build the World's First Platform for AI Data Scientists. What we are looking for We are looking for a Senior Data Scientist based in London to join our mission to create AI Data Scientists to radically advance decision-making for leading enterprises. You will join a team of 9 Data Scientists. We hire the top 1% of Data Science talent to create an intellectually stimulating environment where you can thrive and learn. You will be helping leading enterprises build their custom data science agents and help our users get the maximum out of the platform. What you will do As a Senior Data Scientist at causaLens, you will play a pivotal role in advancing ourdecision-makingtechnology. This position demands a strong foundation in data science, particularly but not limited to time series, and using Python as the primary programming language. Some of your responsibilities will include: Using our Agentic AI framework to build data science solutions and models, using our platform on client-supplied data sets and use cases. Collaborating directly with business stakeholders to integrate domain knowledge into the modelling process, demonstrating how insights can enhance decision workflows. Crafting long-term visions and plans, in collaboration with clients and causaLens stakeholders, to successfully deploy agentic workflowsinto customers' strategies. Work closely with the product and engineering teams to shape the development of our platform. Communicate technical topics to non-technical audiences. At least 2 years of commercial data science experience using Python Please note that this and the following bullet imply a significant breadth and depth of technical skills we will be testing for during the interview process - e.g., Statistics; other programming/scripting languages; solid understanding and experience with Cloud technologies; OOP, TDD, GitHub/Actions/Flow, and MLOps best practices; classical ML algorithms; at least some NLP, etc. Strong academic record in a quantitative field (MEng, MSci, EngD or PhD) Excellent and proven communication and teamwork skills Previous experience in high-growth technology companies or technical consultancy is a plus Previous experience in sales, pre-sales, and/or other technical evangelism is a plus Experience with consulting and/or customer-facing roles, especially in the supply chain, demand forecasting, retail/cpg, manufacturing, marketing, financial services, or the public sector is a plus Experience with LLM and RAG, GenAI, and agentic workflows is a plus Benefits We care about our people's lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration, and a good work-life balance, we offer the following: 25 days of paid holiday, plus bank holidays buy/sell holiday options (up to 5 days) Share options Pension scheme Happy hours and team outings Referral bonus program Cycle to work scheme Friendly tech purchases Benefits to choose from include Health/Dental Insurance Special Discounts Learning and development budget Work abroad days Office snacks and drinks Logistics Our interview process consists of a few screening interviews and a "Day 0" which is spent with the team (in-office). We will always be as transparent as possible so please don't hesitate to reach out if you have any questions. If you require accommodations during the application process or in your role at causaLens, please contact us at
Salary from £55,000 to £65,000 depending on experience Permanent Hybrid / London Here at Saga, we are embarking on a data transformation journey across all our established business units, Cruise, Insurance, Travel, Financial Services and Saga Magazine. We are keen to make one more hire to our growing team. You will be joining a high performing in-house Data Science. Working as one of our Senior Data Scientist at Saga, you will play a pivotal role in shaping our data strategy and driving the development of advanced analytics solutions. Your primary responsibility will be to harness the power of data to extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using machine learning and statistical techniques. You will have access to the latest analytical tools and the chance to work with some of the most renowned Decision Data leaders in the UK market. We work in a hybrid way at Saga both at home and in the office. When you do come into the office, it'll be with a real purpose in mind - to meet with your team, to work together, and of course to socialise and celebrate too! Our Data Science team meet in London once a week and then in Kent once a quarter. Role Responsibility Our Senior Data Scientist will be fully accountable for the following areas; Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting-edge data science techniques and technologies. Insights and Reporting: Extract actionable insights from large, complex datasets to guide business decision-making. Collaboration with Stakeholders: Working closely with business stakeholders and technical colleagues to understand data science requirements and integrate data science solutions into existing workflows & applications. Communicating effectively with both technical and non-technical counterparts. Data Strategy and Model Governance: Collaborate with cross-functional teams to execute the company's data strategy. Ensure models are fair, explainable and in compliance with relevant regulations and policies. Project Management - Manage and deliver projects on time, to high standards. Agile ways of working - Demonstrate experience in working in an agile environment, participating in sprint planning, and adapting to changing priorities. Continuous learning - Stay abreast of industry trends, emerging technologies, and best practices in data science and machine learning. Bring the most relevant ones back to SAGA and find ways to implement them to unlock business value. The Ideal Candidate Working as a Senior Data Scientist at Saga, you will need to demonstrate the following skills and experience; Previously worked in a data science role for a large data rich organisation, with a track record of independent project delivery. Can demonstrate strong programming skills in languages such as Python or SQL. Be seen as an expert in machine learning, statistical modelling and data analysis. Demonstrate excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Experience with big data technologies and cloud platforms, ideally Azure. A curious nature, with the drive to learn and master new tech and methods. Previously worked in an agile working environment, with a focus on iterative and collaborative project delivery. Have worked with data visualisation tools e.g. Tableau. Experience in model monitoring. (MLOPS experience would be desirable.) Have gained a master's in a quantitative field such as Computer Science, Statistics or related disciplines. Saga Values: Make it Happen, Do the Right Thing, Customer First, Excellence Every Day, Our People Make Us Special Recruitment Process Pre-screen call with a member of the TA Team Technical Python and SQL Task TEAMS Interview - Technical and competency Final meeting with our Director of Data Analytics and Decision Science Package Description Everyday our colleagues deliver exceptional experiences to our customers. We believe exceptional work deserves even more exceptional rewards, that's why we have put together an amazing benefits package for all colleagues. BENEFITS AVAILABLE TO ALL COLLEAGUES: 25 days holiday + bank holidays Option to purchase additional leave up to 5 extra days Pension scheme matched up to 10% Company performance related annual bonus - Up to 5% Colleague discounts including family discounts on cruises and holidays Range of reductions and offers from leading retailers, travel groups and entertainment companies Enhanced maternity and paternity leave Grandparents leave Income protection Access to Saga Academy, our bespoke learning platform About the Company Over the past 70 years we have become the UK's specialist provider of products and services to people aged over 50 in the UK. These include cruises and holidays, insurance, personal finance and the Saga Magazine. We aim to be the largest and most-trusted brand for older people in the UK. Our focus on delivering exceptional experiences empowers our colleagues to create moments that are simple, personal and special for our customers and for each other. Our values underpin our approach and help guide us to deliver our purpose. At Saga we're committed to making sure that colleagues can be their best, be themselves and make a difference - more than anywhere else. We do this by creating a truly inclusive culture, where all colleagues can bring their full and authentic selves to work and, be treated with dignity and respect in an environment that is free from discrimination and harassment. We actively celebrate our differences and strive to create a culture of belonging that unites different backgrounds, beliefs, abilities and experiences, in an environment where everyone feels valued and able to work together. We know of the enormous benefits of having diverse teams working together and we aim to foster an inclusive culture to enable this. Saga does not accept agency CVs unless specifically engaged on the role by the Talent Acquisition Team. Please do not forward CVs to our recruiters, colleagues or any other company location. Saga will not be responsible for any fees related to CVs received in this unsolicited manner.
Feb 08, 2025
Full time
Salary from £55,000 to £65,000 depending on experience Permanent Hybrid / London Here at Saga, we are embarking on a data transformation journey across all our established business units, Cruise, Insurance, Travel, Financial Services and Saga Magazine. We are keen to make one more hire to our growing team. You will be joining a high performing in-house Data Science. Working as one of our Senior Data Scientist at Saga, you will play a pivotal role in shaping our data strategy and driving the development of advanced analytics solutions. Your primary responsibility will be to harness the power of data to extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using machine learning and statistical techniques. You will have access to the latest analytical tools and the chance to work with some of the most renowned Decision Data leaders in the UK market. We work in a hybrid way at Saga both at home and in the office. When you do come into the office, it'll be with a real purpose in mind - to meet with your team, to work together, and of course to socialise and celebrate too! Our Data Science team meet in London once a week and then in Kent once a quarter. Role Responsibility Our Senior Data Scientist will be fully accountable for the following areas; Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting-edge data science techniques and technologies. Insights and Reporting: Extract actionable insights from large, complex datasets to guide business decision-making. Collaboration with Stakeholders: Working closely with business stakeholders and technical colleagues to understand data science requirements and integrate data science solutions into existing workflows & applications. Communicating effectively with both technical and non-technical counterparts. Data Strategy and Model Governance: Collaborate with cross-functional teams to execute the company's data strategy. Ensure models are fair, explainable and in compliance with relevant regulations and policies. Project Management - Manage and deliver projects on time, to high standards. Agile ways of working - Demonstrate experience in working in an agile environment, participating in sprint planning, and adapting to changing priorities. Continuous learning - Stay abreast of industry trends, emerging technologies, and best practices in data science and machine learning. Bring the most relevant ones back to SAGA and find ways to implement them to unlock business value. The Ideal Candidate Working as a Senior Data Scientist at Saga, you will need to demonstrate the following skills and experience; Previously worked in a data science role for a large data rich organisation, with a track record of independent project delivery. Can demonstrate strong programming skills in languages such as Python or SQL. Be seen as an expert in machine learning, statistical modelling and data analysis. Demonstrate excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Experience with big data technologies and cloud platforms, ideally Azure. A curious nature, with the drive to learn and master new tech and methods. Previously worked in an agile working environment, with a focus on iterative and collaborative project delivery. Have worked with data visualisation tools e.g. Tableau. Experience in model monitoring. (MLOPS experience would be desirable.) Have gained a master's in a quantitative field such as Computer Science, Statistics or related disciplines. Saga Values: Make it Happen, Do the Right Thing, Customer First, Excellence Every Day, Our People Make Us Special Recruitment Process Pre-screen call with a member of the TA Team Technical Python and SQL Task TEAMS Interview - Technical and competency Final meeting with our Director of Data Analytics and Decision Science Package Description Everyday our colleagues deliver exceptional experiences to our customers. We believe exceptional work deserves even more exceptional rewards, that's why we have put together an amazing benefits package for all colleagues. BENEFITS AVAILABLE TO ALL COLLEAGUES: 25 days holiday + bank holidays Option to purchase additional leave up to 5 extra days Pension scheme matched up to 10% Company performance related annual bonus - Up to 5% Colleague discounts including family discounts on cruises and holidays Range of reductions and offers from leading retailers, travel groups and entertainment companies Enhanced maternity and paternity leave Grandparents leave Income protection Access to Saga Academy, our bespoke learning platform About the Company Over the past 70 years we have become the UK's specialist provider of products and services to people aged over 50 in the UK. These include cruises and holidays, insurance, personal finance and the Saga Magazine. We aim to be the largest and most-trusted brand for older people in the UK. Our focus on delivering exceptional experiences empowers our colleagues to create moments that are simple, personal and special for our customers and for each other. Our values underpin our approach and help guide us to deliver our purpose. At Saga we're committed to making sure that colleagues can be their best, be themselves and make a difference - more than anywhere else. We do this by creating a truly inclusive culture, where all colleagues can bring their full and authentic selves to work and, be treated with dignity and respect in an environment that is free from discrimination and harassment. We actively celebrate our differences and strive to create a culture of belonging that unites different backgrounds, beliefs, abilities and experiences, in an environment where everyone feels valued and able to work together. We know of the enormous benefits of having diverse teams working together and we aim to foster an inclusive culture to enable this. Saga does not accept agency CVs unless specifically engaged on the role by the Talent Acquisition Team. Please do not forward CVs to our recruiters, colleagues or any other company location. Saga will not be responsible for any fees related to CVs received in this unsolicited manner.
At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI. The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment. Key Areas of Responsibility (What You'll Do) Scope and co-develop production-level data science projects with our customers across different industries and use cases. Help users discover and master the Dataiku platform via user training, office hours, and ongoing consultative support. Provide strategic input to the customer and account teams that help make our customers successful. Provide data science expertise both to customers and internally to Dataiku's sales and marketing teams. Develop custom Python-based "plugins" in collaboration with Solutions, R&D, and Product teams to enhance Dataiku's functionality. Experience (What We're Looking For): Curiosity and a desire to learn new topics and skills. Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku's customers, and the general public. The ability to clearly explain complex topics to technical as well as non-technical audiences. Over 5 years of experience with Python and SQL. Over 5 years of experience with building ML models and using ML tools (e.g., sklearn). Experience with Consulting and/or Customer-facing Data Science roles. Familiarity with data visualization in Python, R. Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL. Bonus points for any of these: Experience with Data Engineering or MLOps. Experience building APIs. Experience using enterprise data science tools. Passion for teaching or public speaking. What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity. Apply for this job
Jan 31, 2025
Full time
At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI. The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment. Key Areas of Responsibility (What You'll Do) Scope and co-develop production-level data science projects with our customers across different industries and use cases. Help users discover and master the Dataiku platform via user training, office hours, and ongoing consultative support. Provide strategic input to the customer and account teams that help make our customers successful. Provide data science expertise both to customers and internally to Dataiku's sales and marketing teams. Develop custom Python-based "plugins" in collaboration with Solutions, R&D, and Product teams to enhance Dataiku's functionality. Experience (What We're Looking For): Curiosity and a desire to learn new topics and skills. Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku's customers, and the general public. The ability to clearly explain complex topics to technical as well as non-technical audiences. Over 5 years of experience with Python and SQL. Over 5 years of experience with building ML models and using ML tools (e.g., sklearn). Experience with Consulting and/or Customer-facing Data Science roles. Familiarity with data visualization in Python, R. Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL. Bonus points for any of these: Experience with Data Engineering or MLOps. Experience building APIs. Experience using enterprise data science tools. Passion for teaching or public speaking. What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity. Apply for this job
About Us YouLend is the preferred global embedded financing platform for many of the world's leading e-commerce sites, tech companies, and payment services providers such as Amazon, eBay, Shopify, Mollie, Dojo, Paysafe, Just Eat Takeaway, and Takepayments. Our software platform and APIs enable our partners to offer flexible financing products, in their desired branding, to their merchant base. With YouLend's AI-driven credit risk assessment solutions, more merchants and SMEs than ever can receive fast, flexible, and affordable funding. We operate in 9+ geographies across the UK, EU, and the US. We believe that the future of financial services will be delivered by customer-oriented tech companies that embed financing in their customer journeys, and we are building the solutions that will power that future. The Role: We are seeking a talented Data Scientist / Senior Data Scientist to develop and enhance Probability-of-Default and Revenue-Forecasting models, leveraging advanced data analysis and machine learning techniques to drive impactful business insights. Responsibilities: Data Analysis & Modeling: Analyze large, complex datasets to uncover patterns, insights, and trends that inform business decisions. Predictive Analytics: Build and deploy machine learning models to forecast financial outcomes, detect fraud, optimize credit risk, and enhance customer personalization. Algorithm Development: Develop and improve algorithms for financial services such as pricing or risk assessment. Data Visualization: Create compelling visualizations and dashboards to communicate findings to stakeholders. Collaboration: Work closely with product managers, engineers, and other cross-functional teams to integrate data-driven insights into our products and strategies. Data Engineering Support: Partner with data engineering teams to ensure data pipelines are robust, scalable, and optimized for analysis. Essential Qualifications: Minimum of 3+ years of experience as a Data Scientist, ideally within a FinTech or high-growth startup environment. Proficient in Python, SQL, machine learning algorithms, and foundational MLOps techniques. Why join YouLend? Award-Winning Workplace: YouLend has been recognised as one of the "Best Places to Work 2024" by the Sunday Times for being a supportive, diverse, and rewarding workplace. Award-Winning Fintech: YouLend has been recognised as a "Top 250 Fintech Worldwide" company by CNBC. We offer a comprehensive benefits package that includes: Stock Options Private Medical insurance via Vitality EAP with Health Assured Enhanced Maternity and Paternity Leave Modern and sophisticated office space in Central London Free Gym in office building in Holborn Subsidised Lunch via Feedr Deliveroo Allowance if working late in office Monthly in office Masseuse Team and Company Socials Football Power League / Squash Club Salary: £80,000 - 95,000 + 10% annual bonus based on performance At YouLend, we champion diversity and embrace equal opportunity employment practices. Our hiring, transfer, and promotion decisions are exclusively based on qualifications, merit, and business requirements, free from any discrimination based on race, gender, age, disability, religion, nationality, or any other protected basis under applicable law.
Jan 31, 2025
Full time
About Us YouLend is the preferred global embedded financing platform for many of the world's leading e-commerce sites, tech companies, and payment services providers such as Amazon, eBay, Shopify, Mollie, Dojo, Paysafe, Just Eat Takeaway, and Takepayments. Our software platform and APIs enable our partners to offer flexible financing products, in their desired branding, to their merchant base. With YouLend's AI-driven credit risk assessment solutions, more merchants and SMEs than ever can receive fast, flexible, and affordable funding. We operate in 9+ geographies across the UK, EU, and the US. We believe that the future of financial services will be delivered by customer-oriented tech companies that embed financing in their customer journeys, and we are building the solutions that will power that future. The Role: We are seeking a talented Data Scientist / Senior Data Scientist to develop and enhance Probability-of-Default and Revenue-Forecasting models, leveraging advanced data analysis and machine learning techniques to drive impactful business insights. Responsibilities: Data Analysis & Modeling: Analyze large, complex datasets to uncover patterns, insights, and trends that inform business decisions. Predictive Analytics: Build and deploy machine learning models to forecast financial outcomes, detect fraud, optimize credit risk, and enhance customer personalization. Algorithm Development: Develop and improve algorithms for financial services such as pricing or risk assessment. Data Visualization: Create compelling visualizations and dashboards to communicate findings to stakeholders. Collaboration: Work closely with product managers, engineers, and other cross-functional teams to integrate data-driven insights into our products and strategies. Data Engineering Support: Partner with data engineering teams to ensure data pipelines are robust, scalable, and optimized for analysis. Essential Qualifications: Minimum of 3+ years of experience as a Data Scientist, ideally within a FinTech or high-growth startup environment. Proficient in Python, SQL, machine learning algorithms, and foundational MLOps techniques. Why join YouLend? Award-Winning Workplace: YouLend has been recognised as one of the "Best Places to Work 2024" by the Sunday Times for being a supportive, diverse, and rewarding workplace. Award-Winning Fintech: YouLend has been recognised as a "Top 250 Fintech Worldwide" company by CNBC. We offer a comprehensive benefits package that includes: Stock Options Private Medical insurance via Vitality EAP with Health Assured Enhanced Maternity and Paternity Leave Modern and sophisticated office space in Central London Free Gym in office building in Holborn Subsidised Lunch via Feedr Deliveroo Allowance if working late in office Monthly in office Masseuse Team and Company Socials Football Power League / Squash Club Salary: £80,000 - 95,000 + 10% annual bonus based on performance At YouLend, we champion diversity and embrace equal opportunity employment practices. Our hiring, transfer, and promotion decisions are exclusively based on qualifications, merit, and business requirements, free from any discrimination based on race, gender, age, disability, religion, nationality, or any other protected basis under applicable law.
About Motorway Motorway is the UK's fastest-growing used car marketplace - our award winning, online-only platform connects private car sellers with thousands of verified dealers nationwide, ensuring everyone gets the best deal. Founded in 2017, our technology-led approach has redefined the experience of selling a car, generating thousands of monthly car sales and helping us to grow to a team of over 400 across 4 locations. We are now valued at over £1 billion and is backed by some of the world's leading technology investors, having raised £143 million in Series C funding. This is a unique opportunity to join a fast-growing scale-up at a crucial phase of growth and help change an industry for the better. About the team The Marketplace team is at the heart of Motorway's growth, focused on making our online car auction platform the best it can be. We're not just about the tech; we're about creating a smooth and enjoyable experience for both car sellers and dealers. Our team is unique because we have a direct impact on Motorway's success. We use data to shape our auction strategies, improve user experience, and drive growth. If you're passionate about data science and want to see your work make a real difference, this is the team for you. About the role As our Senior Data Scientist, you'll be a key player in: Developing cutting-edge predictive models: You'll build models to optimise auction dynamics, predict outcomes, and help consumers bid smarter. Uncovering insights from data: You'll dive deep into our data to identify trends and patterns, turning your findings into actionable strategies. Collaborating to bring new products to life: You'll work closely with analysts, engineers, and product teams to design, test, and launch new features. Ensuring fair play: You'll contribute to solutions that encourage positive behaviour and maintain fairness in our auctions. Exploring new possibilities: You'll research and evaluate different auction formats and strategies to maximise efficiency and revenue. Sharing your knowledge: You'll clearly communicate complex technical concepts to both technical and non-technical audiences. About you We welcome applications from all backgrounds, but here's what you'll likely bring to the table: A Master's degree or Ph.D. in Data Science, Computer Science, Mathematics, Physical Sciences, Economics, or a similar field. Proven expertise in data science and machine learning, with a track record of building and deploying models in a real-world setting. Strong Python skills and experience with libraries like pandas, scikit-learn, stan, pyro, matplotlib, and plotly. The ability to choose the right machine learning model for the job (linear/logistic regression, RFs, xgboost, NNs, etc.). Experience with calibrated probabilistic models is a plus! Experience with MLOps and software engineering best practices, including git, CI/CD, testing, and releasing. A knack for working with large datasets and cloud platforms like AWS or GCP. Proficiency in SQL and experience with data pipelining and warehousing technologies. BigQuery and dbt experience is a bonus. Ideally, you'll also have experience with econometrics, Bayesian ML, causal inference, and/or auction theory. You're a natural problem-solver with sharp analytical and critical thinking skills. You communicate effectively and collaborate well, explaining technical information clearly to different audiences. You could be a great fit if You're excited by the challenge of using data to optimise a marketplace. You have experience in the automotive or e-commerce industry. You have familiarity with A/B testing and experimentation frameworks. You're a creative thinker who can come up with innovative solutions. You're passionate about staying at the forefront of data science and machine learning. You have a strong interest in auction dynamics and behavioural economics. Our interview process Our interview process includes: Initial Screen with Talent Team - 30 minutes Hiring Manager Interview - 45 minutes Skills Assessment - 60 minutes Exec Interview - 60 minutes We'll aim to get back to you within 2-3 business days of each stage. A talent partner will be there to answer any questions or assist with accommodations throughout the process.
Jan 29, 2025
Full time
About Motorway Motorway is the UK's fastest-growing used car marketplace - our award winning, online-only platform connects private car sellers with thousands of verified dealers nationwide, ensuring everyone gets the best deal. Founded in 2017, our technology-led approach has redefined the experience of selling a car, generating thousands of monthly car sales and helping us to grow to a team of over 400 across 4 locations. We are now valued at over £1 billion and is backed by some of the world's leading technology investors, having raised £143 million in Series C funding. This is a unique opportunity to join a fast-growing scale-up at a crucial phase of growth and help change an industry for the better. About the team The Marketplace team is at the heart of Motorway's growth, focused on making our online car auction platform the best it can be. We're not just about the tech; we're about creating a smooth and enjoyable experience for both car sellers and dealers. Our team is unique because we have a direct impact on Motorway's success. We use data to shape our auction strategies, improve user experience, and drive growth. If you're passionate about data science and want to see your work make a real difference, this is the team for you. About the role As our Senior Data Scientist, you'll be a key player in: Developing cutting-edge predictive models: You'll build models to optimise auction dynamics, predict outcomes, and help consumers bid smarter. Uncovering insights from data: You'll dive deep into our data to identify trends and patterns, turning your findings into actionable strategies. Collaborating to bring new products to life: You'll work closely with analysts, engineers, and product teams to design, test, and launch new features. Ensuring fair play: You'll contribute to solutions that encourage positive behaviour and maintain fairness in our auctions. Exploring new possibilities: You'll research and evaluate different auction formats and strategies to maximise efficiency and revenue. Sharing your knowledge: You'll clearly communicate complex technical concepts to both technical and non-technical audiences. About you We welcome applications from all backgrounds, but here's what you'll likely bring to the table: A Master's degree or Ph.D. in Data Science, Computer Science, Mathematics, Physical Sciences, Economics, or a similar field. Proven expertise in data science and machine learning, with a track record of building and deploying models in a real-world setting. Strong Python skills and experience with libraries like pandas, scikit-learn, stan, pyro, matplotlib, and plotly. The ability to choose the right machine learning model for the job (linear/logistic regression, RFs, xgboost, NNs, etc.). Experience with calibrated probabilistic models is a plus! Experience with MLOps and software engineering best practices, including git, CI/CD, testing, and releasing. A knack for working with large datasets and cloud platforms like AWS or GCP. Proficiency in SQL and experience with data pipelining and warehousing technologies. BigQuery and dbt experience is a bonus. Ideally, you'll also have experience with econometrics, Bayesian ML, causal inference, and/or auction theory. You're a natural problem-solver with sharp analytical and critical thinking skills. You communicate effectively and collaborate well, explaining technical information clearly to different audiences. You could be a great fit if You're excited by the challenge of using data to optimise a marketplace. You have experience in the automotive or e-commerce industry. You have familiarity with A/B testing and experimentation frameworks. You're a creative thinker who can come up with innovative solutions. You're passionate about staying at the forefront of data science and machine learning. You have a strong interest in auction dynamics and behavioural economics. Our interview process Our interview process includes: Initial Screen with Talent Team - 30 minutes Hiring Manager Interview - 45 minutes Skills Assessment - 60 minutes Exec Interview - 60 minutes We'll aim to get back to you within 2-3 business days of each stage. A talent partner will be there to answer any questions or assist with accommodations throughout the process.
Data Science function hiring in: United Kingdom Work Preference Option(s): Hybrid Work From Home This is a perfect opportunity for ambitious individuals to join a team of curious minds and supportive peers with a passion for creating value for businesses using data. About Us We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too! At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our central offices in Bristol and London. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. Join us in shaping a workplace where proximity enhances collaboration while inclusivity strengthens our community. About the role Senior Data Scientists are the driving force in delivering innovative and high-quality data science projects for our customers. Aligning Software with Data provides a powerful platform through which we engage some of the world's leading brands in long-term strategic digital transformation. The Digital Services team is a multi-disciplined group working alongside the Engineering Group (software, platform, and data engineering). Data Science, as a mature practice, is dedicated to the business application of a wide range of data science techniques and industry best practices. As a Senior Data Scientist, you will work as part of a team that designs and implements data science solutions for businesses, using suitable methodology and programming languages, confidently assuming responsibility for technical specifications. You will have the opportunity to: Work as part of a multi-skilled delivery team on client engagements Quickly learn and apply skills to real business challenges Shape and design solutions for customers that impact business KPIs Contribute to a collective knowledge pool and gain appreciation Work on a variety of businesses and problems, with data of all shapes and sizes Be supported by the Data practice and a collective knowledge pool Guide and mentor junior members of the team on and off projects Keep up to date on the latest technologies, techniques, and best practices Work with the latest Azure offerings and get certified Attend and present at high-profile conferences Contribute to open-source projects Responsibilities Primary Duties Using strong business acumen and a solid understanding of data science use cases, author and refine project technical specifications Relentlessly focus on creating business impact and delivering value Apply statistical rigor and computational efficiency in project delivery Design and implement end-to-end data pipelines fit for purpose Communicate frequently and appropriately during the delivery process Present work to technical and non-technical audiences Support Sales by participating in the pre-sales process and contributing to proposals Other Manage junior members in a line manager capacity Promote Ascent publicly via blogging and conferencing Deliver internal training and knowledge-sharing Keep up to date with relevant technologies and current trends Travel for work as required Requirements A successful candidate will demonstrate these traits: Curious and inquisitive Thoughtful Consultative and business-minded Detail-oriented Analytical approach to problem-solving Sense of responsibility Critical and constructive thinking Logical and methodical reasoning Communicate with clarity and purpose And these skills: Required Fluent in R for data science Fluent in SQL (any flavor) for analysis Experienced in applying a broad range of data science techniques to solutions in business process and systems, including data visualization, package development, machine learning algorithms, NLP, Shiny/Dash, optimization, deep learning, reinforcement learning Daily use of git Highly Desirable Competence in Python for data science Deploying data science solutions on a cloud platform, including MLOps (CI/CD, Feature Store, drift monitoring, MLflow, DVC, Docker, Kubernetes) and webapp (Azure App Services, Azure Web Apps); Azure ML and MSFT Certificate Experience in pharmaceutical data science Experience with Generative AI (GenAI) and Large Language Models (LLM) Algorithm design experience Data architecture knowledge API design and deployment experience NoSQL DB experience Beneficial and Others DBA experience Qualifications 5+ years of data science experience Right to work in the UK and/or EU Azure Data Science Associate Certificate is desirable Working at Ascent At Ascent we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries. Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status. If you require any reasonable accommodation, please let us know when you apply. If you have any questions contact our Talent Acquisition team on .
Jan 29, 2025
Full time
Data Science function hiring in: United Kingdom Work Preference Option(s): Hybrid Work From Home This is a perfect opportunity for ambitious individuals to join a team of curious minds and supportive peers with a passion for creating value for businesses using data. About Us We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too! At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our central offices in Bristol and London. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. Join us in shaping a workplace where proximity enhances collaboration while inclusivity strengthens our community. About the role Senior Data Scientists are the driving force in delivering innovative and high-quality data science projects for our customers. Aligning Software with Data provides a powerful platform through which we engage some of the world's leading brands in long-term strategic digital transformation. The Digital Services team is a multi-disciplined group working alongside the Engineering Group (software, platform, and data engineering). Data Science, as a mature practice, is dedicated to the business application of a wide range of data science techniques and industry best practices. As a Senior Data Scientist, you will work as part of a team that designs and implements data science solutions for businesses, using suitable methodology and programming languages, confidently assuming responsibility for technical specifications. You will have the opportunity to: Work as part of a multi-skilled delivery team on client engagements Quickly learn and apply skills to real business challenges Shape and design solutions for customers that impact business KPIs Contribute to a collective knowledge pool and gain appreciation Work on a variety of businesses and problems, with data of all shapes and sizes Be supported by the Data practice and a collective knowledge pool Guide and mentor junior members of the team on and off projects Keep up to date on the latest technologies, techniques, and best practices Work with the latest Azure offerings and get certified Attend and present at high-profile conferences Contribute to open-source projects Responsibilities Primary Duties Using strong business acumen and a solid understanding of data science use cases, author and refine project technical specifications Relentlessly focus on creating business impact and delivering value Apply statistical rigor and computational efficiency in project delivery Design and implement end-to-end data pipelines fit for purpose Communicate frequently and appropriately during the delivery process Present work to technical and non-technical audiences Support Sales by participating in the pre-sales process and contributing to proposals Other Manage junior members in a line manager capacity Promote Ascent publicly via blogging and conferencing Deliver internal training and knowledge-sharing Keep up to date with relevant technologies and current trends Travel for work as required Requirements A successful candidate will demonstrate these traits: Curious and inquisitive Thoughtful Consultative and business-minded Detail-oriented Analytical approach to problem-solving Sense of responsibility Critical and constructive thinking Logical and methodical reasoning Communicate with clarity and purpose And these skills: Required Fluent in R for data science Fluent in SQL (any flavor) for analysis Experienced in applying a broad range of data science techniques to solutions in business process and systems, including data visualization, package development, machine learning algorithms, NLP, Shiny/Dash, optimization, deep learning, reinforcement learning Daily use of git Highly Desirable Competence in Python for data science Deploying data science solutions on a cloud platform, including MLOps (CI/CD, Feature Store, drift monitoring, MLflow, DVC, Docker, Kubernetes) and webapp (Azure App Services, Azure Web Apps); Azure ML and MSFT Certificate Experience in pharmaceutical data science Experience with Generative AI (GenAI) and Large Language Models (LLM) Algorithm design experience Data architecture knowledge API design and deployment experience NoSQL DB experience Beneficial and Others DBA experience Qualifications 5+ years of data science experience Right to work in the UK and/or EU Azure Data Science Associate Certificate is desirable Working at Ascent At Ascent we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries. Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status. If you require any reasonable accommodation, please let us know when you apply. If you have any questions contact our Talent Acquisition team on .
