Harnham - Data & Analytics Recruitment
Leeds, Yorkshire
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
May 25, 2026
Full time
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Harnham - Data & Analytics Recruitment
Newcastle Upon Tyne, Tyne And Wear
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
May 25, 2026
Full time
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Harnham - Data & Analytics Recruitment
Edinburgh, Midlothian
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
May 25, 2026
Full time
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
May 25, 2026
Full time
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Harnham - Data & Analytics Recruitment
Sheffield, Yorkshire
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
May 25, 2026
Full time
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
We are recruiting a Data Scientist to be embedded in our Fairer Start Mission. About Nesta We are Nesta, the UK's innovation agency for social good. We design, test and scale solutions to society's biggest problems. Our three missions are to give every child a fair start, help people live healthy lives, and create a sustainable future where the economy works for both people and the planet. For over 20 years, we have worked to support, encourage and inspire innovation. We work in three roles: as an innovation partner working with frontline organisations to design and test new solutions, as a venture builder supporting new and early stage businesses, and as a system shaper creating the conditions for innovation. Harnessing the rigour of science and the creativity of design, we work relentlessly to change millions of lives for the better. Find out more at nesta.org.uk . The role Nesta's Fairer Start Mission is looking for a Data Scientist to lead projects that bring the best approaches from data science and analytics to impact our mission goal. Our work is highly varied, and could include training machine learning models, building web applications, or using a range of analytical techniques to answer questions and generate solutions to tough policy challenges. In the early years, this often means extracting insights from unstructured reports, administrative data, and complex research projects, and turning them into actionable insights for policy makers, local authorities, and individuals. This is an opportunity to play a role in delivering data science projects. If you have a strong background working with data and are motivated by deploying creative data science solutions, as well as contributing to real-world outcomes for public benefit, then this role is for you. The team In Nesta's 'A Fairer Start' mission, our goal is that every child in the UK has the same chance of developing to their full potential in the early years. Working across government, local authorities, academics, and the private sector, we deliver a range of projects to achieve our mission goal by 2030. The person We are a team of analytical and technical experts from a range of backgrounds bound by the drive to use our expertise to have social impact. A strong candidate for this role will be interested in putting their analytical and data science skills to work to achieve impact in the early years. Working as part of a wider community of data scientists and quantitative researchers, you will be supported to exercise a significant range of techniques and select the most appropriate methods for the task at hand. You will be used to working flexibly and quickly, adapting to new domain and project contexts alongside your colleagues. Critically, this role requires strong applied research skills - the ability to deliver work to the rigor and standards necessary for impact while working closely and collaboratively with other members across the team and wider organisation. We don't expect you to be an expert at this stage, but we want you to come to Nesta with a growth mindset where you are ready to experiment and learn. As a Data Scientist at Nesta you will: Deliver analytical components of projects that advance the A Fairer Start mission, ranging from research and analysis to machine learning modeling; Build pipelines, clean and analyse datasets using appropriate tools and methods, from wrapping APIs to scraping unstructured data; Develop clear and informative data visualisations and outputs; Design and scope projects in collaboration with technical colleagues, domain experts and practitioners from other disciplines; Communicate outputs of your work to a wide range of internal and external audiences; Work in a multidisciplinary team, collaborating with designers, behavioural scientists and researchers; Alongside other quantitative and data science specialists, ensure that all quantitative analysis work is reproducible, sustainable, and ethically considered help the team stay at the cutting edge by keeping abreast of new techniques and developments in the field and seeking ways to use them; Skills and Qualifications Experience programming in Python; Experience using data and evidence to drive policy development or decision making; Strong data analysis skills, which might include machine learning, statistical methods, causal inference or other techniques; Ability to scope and prioritise research questions to maximise impact, balancing methodological rigour with practical resource limitations; Willingness to be an active team member who collaborates with others and contributes to strengthening team connections; Ability to apply data science approaches that will solve problems and answer questions; Ability to communicate with technical and non-technical stakeholders, with evidence of clear and structured written outputs such as blogs, reports or papers; Experience of working in multi-disciplinary teams making use of mixed research or innovation methods; Experience using Git and GitHub (or equivalent) for version control. Desirable A Bachelor or Masters qualification in a relevant quantitative discipline and relevant experience in academia, industry or public/third sector; Knowledge of early childhood development or UK early years policy; A degree of experience of data engineering methods such as scalable data collection (e.g. APIs, web-scraping), data pipeline technologies (e.g. Airflow, Luigi, Metaflow) or database management systems (SQL or NoSQL); Experience of working in a policy context for a consultancy, think tank or other fast paced research environment. What we offer Salary: £38,600 - £53,000 (offers are expected to be made at the bottom of the band) plus array of benefits, including private medical insurance, dental insurance, the ability to buy and sell annual leave, eyecare vouchers and more Location : This role is based in London, hybrid working arrangement with a minimum of two days in the office Term : Permanent Hours: This is a full-time role but we offer a range of flexible working arrangements and encourage our people to take advantage of them. Many do. Reports to: Senior Data Science Lead, A Fairer Start Flexibility: This role is available to be a job-share. Making an application To apply for this role, please submit your application before 8am on 1st June 2026. First round interviews will take place the week commencing 22nd June 2026. At Nesta, we believe that a diverse workforce leads to an organisation that is more innovative, more creative and gets better results. We want our workforce to represent the diversity of the people and communities we serve. We also want our workplace to be one where different experiences, expertise and perspectives are valued, and where everyone is encouraged to grow and develop. This means that when we are recruiting, we actively seek to reach a diverse pool of candidates. It also means that we are happy to consider any reasonable adjustments that potential employees may need to in order to be successful. We recognise the importance of a good balance between work and home life, so we do everything we can to accommodate flexible working, including working from home, compressed or part-time hours, job shares and other arrangements. Please just let us know in your application or at any stage throughout the process (and beyond) if these are options you'd like to explore.
May 23, 2026
Full time
We are recruiting a Data Scientist to be embedded in our Fairer Start Mission. About Nesta We are Nesta, the UK's innovation agency for social good. We design, test and scale solutions to society's biggest problems. Our three missions are to give every child a fair start, help people live healthy lives, and create a sustainable future where the economy works for both people and the planet. For over 20 years, we have worked to support, encourage and inspire innovation. We work in three roles: as an innovation partner working with frontline organisations to design and test new solutions, as a venture builder supporting new and early stage businesses, and as a system shaper creating the conditions for innovation. Harnessing the rigour of science and the creativity of design, we work relentlessly to change millions of lives for the better. Find out more at nesta.org.uk . The role Nesta's Fairer Start Mission is looking for a Data Scientist to lead projects that bring the best approaches from data science and analytics to impact our mission goal. Our work is highly varied, and could include training machine learning models, building web applications, or using a range of analytical techniques to answer questions and generate solutions to tough policy challenges. In the early years, this often means extracting insights from unstructured reports, administrative data, and complex research projects, and turning them into actionable insights for policy makers, local authorities, and individuals. This is an opportunity to play a role in delivering data science projects. If you have a strong background working with data and are motivated by deploying creative data science solutions, as well as contributing to real-world outcomes for public benefit, then this role is for you. The team In Nesta's 'A Fairer Start' mission, our goal is that every child in the UK has the same chance of developing to their full potential in the early years. Working across government, local authorities, academics, and the private sector, we deliver a range of projects to achieve our mission goal by 2030. The person We are a team of analytical and technical experts from a range of backgrounds bound by the drive to use our expertise to have social impact. A strong candidate for this role will be interested in putting their analytical and data science skills to work to achieve impact in the early years. Working as part of a wider community of data scientists and quantitative researchers, you will be supported to exercise a significant range of techniques and select the most appropriate methods for the task at hand. You will be used to working flexibly and quickly, adapting to new domain and project contexts alongside your colleagues. Critically, this role requires strong applied research skills - the ability to deliver work to the rigor and standards necessary for impact while working closely and collaboratively with other members across the team and wider organisation. We don't expect you to be an expert at this stage, but we want you to come to Nesta with a growth mindset where you are ready to experiment and learn. As a Data Scientist at Nesta you will: Deliver analytical components of projects that advance the A Fairer Start mission, ranging from research and analysis to machine learning modeling; Build pipelines, clean and analyse datasets using appropriate tools and methods, from wrapping APIs to scraping unstructured data; Develop clear and informative data visualisations and outputs; Design and scope projects in collaboration with technical colleagues, domain experts and practitioners from other disciplines; Communicate outputs of your work to a wide range of internal and external audiences; Work in a multidisciplinary team, collaborating with designers, behavioural scientists and researchers; Alongside other quantitative and data science specialists, ensure that all quantitative analysis work is reproducible, sustainable, and ethically considered help the team stay at the cutting edge by keeping abreast of new techniques and developments in the field and seeking ways to use them; Skills and Qualifications Experience programming in Python; Experience using data and evidence to drive policy development or decision making; Strong data analysis skills, which might include machine learning, statistical methods, causal inference or other techniques; Ability to scope and prioritise research questions to maximise impact, balancing methodological rigour with practical resource limitations; Willingness to be an active team member who collaborates with others and contributes to strengthening team connections; Ability to apply data science approaches that will solve problems and answer questions; Ability to communicate with technical and non-technical stakeholders, with evidence of clear and structured written outputs such as blogs, reports or papers; Experience of working in multi-disciplinary teams making use of mixed research or innovation methods; Experience using Git and GitHub (or equivalent) for version control. Desirable A Bachelor or Masters qualification in a relevant quantitative discipline and relevant experience in academia, industry or public/third sector; Knowledge of early childhood development or UK early years policy; A degree of experience of data engineering methods such as scalable data collection (e.g. APIs, web-scraping), data pipeline technologies (e.g. Airflow, Luigi, Metaflow) or database management systems (SQL or NoSQL); Experience of working in a policy context for a consultancy, think tank or other fast paced research environment. What we offer Salary: £38,600 - £53,000 (offers are expected to be made at the bottom of the band) plus array of benefits, including private medical insurance, dental insurance, the ability to buy and sell annual leave, eyecare vouchers and more Location : This role is based in London, hybrid working arrangement with a minimum of two days in the office Term : Permanent Hours: This is a full-time role but we offer a range of flexible working arrangements and encourage our people to take advantage of them. Many do. Reports to: Senior Data Science Lead, A Fairer Start Flexibility: This role is available to be a job-share. Making an application To apply for this role, please submit your application before 8am on 1st June 2026. First round interviews will take place the week commencing 22nd June 2026. At Nesta, we believe that a diverse workforce leads to an organisation that is more innovative, more creative and gets better results. We want our workforce to represent the diversity of the people and communities we serve. We also want our workplace to be one where different experiences, expertise and perspectives are valued, and where everyone is encouraged to grow and develop. This means that when we are recruiting, we actively seek to reach a diverse pool of candidates. It also means that we are happy to consider any reasonable adjustments that potential employees may need to in order to be successful. We recognise the importance of a good balance between work and home life, so we do everything we can to accommodate flexible working, including working from home, compressed or part-time hours, job shares and other arrangements. Please just let us know in your application or at any stage throughout the process (and beyond) if these are options you'd like to explore.
Data Science Manager Salary: 100K - 120K + bonus + benefits Location: London (Hybrid) At Data Idols, we are working with a major UK retail and consumer brand undergoing a significant data and AI transformation, placing advanced analytics and machine learning at the centre of commercial decision-making across the business. They are looking for a Data Science Manager to lead a high-performing team of Data Scientists focused on delivering measurable impact. This is a highly visible leadership role sitting at the intersection of data science, commercial strategy, and customer experience. The Opportunity As the Data Science Manager, you'll lead both the technical direction and people development of the team, helping shape the roadmap for how machine learning and advanced analytics are applied across the organisation. You will be responsible for translating complex analytical outputs into clear, commercially focused recommendations, helping establish best practices across experimentation, modelling, MLOps, and data science delivery, and supporting the long-term evolution of the organisation's AI and data science capability. This is a leadership role with real influence, balancing strategic direction with hands-on technical oversight where needed. Skills and Experience Previous experience leading or managing Data Science teams in a commercial environment Strong background in machine learning, advanced analytics, or statistical modelling Strong stakeholder management skills with the ability to influence senior leadership Experience delivering data science products and models into production environments If you are looking for a new challenge and want to work in a data-driven environment where your insight directly influences marketing and commercial performance, please submit your CV for initial screening and further details. Data Science Manager
May 23, 2026
Full time
Data Science Manager Salary: 100K - 120K + bonus + benefits Location: London (Hybrid) At Data Idols, we are working with a major UK retail and consumer brand undergoing a significant data and AI transformation, placing advanced analytics and machine learning at the centre of commercial decision-making across the business. They are looking for a Data Science Manager to lead a high-performing team of Data Scientists focused on delivering measurable impact. This is a highly visible leadership role sitting at the intersection of data science, commercial strategy, and customer experience. The Opportunity As the Data Science Manager, you'll lead both the technical direction and people development of the team, helping shape the roadmap for how machine learning and advanced analytics are applied across the organisation. You will be responsible for translating complex analytical outputs into clear, commercially focused recommendations, helping establish best practices across experimentation, modelling, MLOps, and data science delivery, and supporting the long-term evolution of the organisation's AI and data science capability. This is a leadership role with real influence, balancing strategic direction with hands-on technical oversight where needed. Skills and Experience Previous experience leading or managing Data Science teams in a commercial environment Strong background in machine learning, advanced analytics, or statistical modelling Strong stakeholder management skills with the ability to influence senior leadership Experience delivering data science products and models into production environments If you are looking for a new challenge and want to work in a data-driven environment where your insight directly influences marketing and commercial performance, please submit your CV for initial screening and further details. Data Science Manager
Take a lead role in shaping data science pipelines, platforms and methodologies Cambridge; £DoE + Benefits This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques. Requirements Master s or ideally PhD in mathematics, science or similar. Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27639 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
May 23, 2026
Full time
Take a lead role in shaping data science pipelines, platforms and methodologies Cambridge; £DoE + Benefits This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques. Requirements Master s or ideally PhD in mathematics, science or similar. Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27639 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Role Overview We are seeking an Applied AI Lead to act as a hands-on, startup-style CTO for our AI initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration, and success metrics. Hands-on Development: Write production-quality Python code, develop complex models using PyTorch or TensorFlow, and manage high-performance SQL databases. Team Management: Lead and mentor a team of Data Scientists, fostering a culture of rapid experimentation and engineering excellence. Executive Stakeholder Management: Translate complex technical concepts for senior management and the C-suite, acting as a strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will not be considered. Product Vision: Experience launching AI products from scratch with a focus on business delivery and user impact. Education: Degree from a top-tier educational institution with a strong foundation in mathematics and statistics. Communication: Exceptional public speaking skills and the ability to influence executive-level stakeholders. Preferred Skills Entrepreneurial background or experience in early-stage startups. High analytical and technical acumen with an obsession for speed-to-market.
May 23, 2026
Full time
Role Overview We are seeking an Applied AI Lead to act as a hands-on, startup-style CTO for our AI initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration, and success metrics. Hands-on Development: Write production-quality Python code, develop complex models using PyTorch or TensorFlow, and manage high-performance SQL databases. Team Management: Lead and mentor a team of Data Scientists, fostering a culture of rapid experimentation and engineering excellence. Executive Stakeholder Management: Translate complex technical concepts for senior management and the C-suite, acting as a strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will not be considered. Product Vision: Experience launching AI products from scratch with a focus on business delivery and user impact. Education: Degree from a top-tier educational institution with a strong foundation in mathematics and statistics. Communication: Exceptional public speaking skills and the ability to influence executive-level stakeholders. Preferred Skills Entrepreneurial background or experience in early-stage startups. High analytical and technical acumen with an obsession for speed-to-market.
Senior Data Science Consultant 60k - 70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
May 23, 2026
Full time
Senior Data Science Consultant 60k - 70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Applied AI Scientist Location: London Contract type: Contract Rate / Salary: 600- 800 Clearance: Eligible AI: Complex data. Clear thinking. It's knowing what matters. That makes a real difference. The Opportunity We are looking for an Applied AI Scientist to join our client's growing Data Science profession. This is a senior, hands-on technical role for someone who enjoys deep technical delivery and influencing through credibility rather than hierarchy. The role focuses on applying modern AI techniques to real-world problems in complex, constrained environments. You will work closely with users, stakeholders and fellow data scientists to translate real operational needs into effective AI solutions that deliver tangible outcomes. You will often be working in settings where model behaviour, system constraints and human use interact in non-obvious ways. This is not AI experimentation for its own sake. It is about building solutions that work in practice. This environment is far from ordinary - and we're not looking for ordinary. Working Environment You will work in a high-trust, delivery-focused environment where technical quality, judgement and real-world impact are valued. The team operates collaboratively, sharing knowledge and learning through delivery rather than theory alone. You will be trusted to manage your own work, engage directly with customers and stakeholders, and take responsibility for outcomes. What You'll Be Doing - Design, build and deploy applied AI and data science solutions that deliver measurable impact - Own projects end-to-end, including problem definition, technical delivery and stakeholder engagement - Work directly with users and customers to understand real-world needs and translate them into well-defined AI problems - Apply modern AI and machine learning techniques using strong Python engineering skills - Build solutions that can operate in secure, constrained or offline environments without reliance on external services - Consider performance, scalability and resilience when deploying AI into operational systems - Influence technical direction through evidence, communication and delivery results - Share knowledge and support learning across the wider data science community Your Experience To be successful in this role, you will bring: - Strong, demonstrable experience as an Applied AI Scientist, Data Scientist or similar hands-on technical role - Excellent Python skills, with the ability to write clean, efficient, production-quality code - Experience developing and deploying AI solutions outside of fully managed cloud services - Solid understanding of modern AI and machine learning techniques - Experience working with imperfect, real-world data and operational constraints - Confidence owning work end-to-end and managing your own delivery - The ability to influence technical decisions without formal authority In Return You'll join an experienced and collaborative team working on meaningful, production-focused AI problems rather than isolated experimentation. This is an opportunity to apply your skills where judgement, pragmatism and technical quality genuinely matter, and to grow your influence through delivery rather than management responsibility. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
May 22, 2026
Contractor
Applied AI Scientist Location: London Contract type: Contract Rate / Salary: 600- 800 Clearance: Eligible AI: Complex data. Clear thinking. It's knowing what matters. That makes a real difference. The Opportunity We are looking for an Applied AI Scientist to join our client's growing Data Science profession. This is a senior, hands-on technical role for someone who enjoys deep technical delivery and influencing through credibility rather than hierarchy. The role focuses on applying modern AI techniques to real-world problems in complex, constrained environments. You will work closely with users, stakeholders and fellow data scientists to translate real operational needs into effective AI solutions that deliver tangible outcomes. You will often be working in settings where model behaviour, system constraints and human use interact in non-obvious ways. This is not AI experimentation for its own sake. It is about building solutions that work in practice. This environment is far from ordinary - and we're not looking for ordinary. Working Environment You will work in a high-trust, delivery-focused environment where technical quality, judgement and real-world impact are valued. The team operates collaboratively, sharing knowledge and learning through delivery rather than theory alone. You will be trusted to manage your own work, engage directly with customers and stakeholders, and take responsibility for outcomes. What You'll Be Doing - Design, build and deploy applied AI and data science solutions that deliver measurable impact - Own projects end-to-end, including problem definition, technical delivery and stakeholder engagement - Work directly with users and customers to understand real-world needs and translate them into well-defined AI problems - Apply modern AI and machine learning techniques using strong Python engineering skills - Build solutions that can operate in secure, constrained or offline environments without reliance on external services - Consider performance, scalability and resilience when deploying AI into operational systems - Influence technical direction through evidence, communication and delivery results - Share knowledge and support learning across the wider data science community Your Experience To be successful in this role, you will bring: - Strong, demonstrable experience as an Applied AI Scientist, Data Scientist or similar hands-on technical role - Excellent Python skills, with the ability to write clean, efficient, production-quality code - Experience developing and deploying AI solutions outside of fully managed cloud services - Solid understanding of modern AI and machine learning techniques - Experience working with imperfect, real-world data and operational constraints - Confidence owning work end-to-end and managing your own delivery - The ability to influence technical decisions without formal authority In Return You'll join an experienced and collaborative team working on meaningful, production-focused AI problems rather than isolated experimentation. This is an opportunity to apply your skills where judgement, pragmatism and technical quality genuinely matter, and to grow your influence through delivery rather than management responsibility. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
Job Title: Data Scientist Location: Cardiff Salary/Rate: (Apply online only) per day inside IR35 Start Date: June Job Type: Initial 12 month contract Company Introduction We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled Data Scientist to conduct statistical analysis to support product strategy decisions. Job Responsibilities/Objectives This role is focused on supporting day-to-day analytical activities across customer portfolios, including credit application assessments, standard financial and risk analysis, and product-related analysis. The individual will also contribute to research and development initiatives, monitor and evaluate model performance, and support the migration of existing analytical processes to cloud-based platforms. Overall, the role requires a strong blend of analytical capability, technical understanding, and adaptability to evolving tools and environments. The ideal candidate will have experience in data mining, statistical methods, and modelling / scoring techniques. Required Skills/Experience The ideal candidate will have the following: Have experience of independently running analysis of large datasets, producing results and presenting these to business partners with support of data science peers. Have degree in computer science, mathematics, statistics or quantitative methods (or equivalent experience). Have good understanding of statistical methods applied to data analysis. Have user experience of Cloud capabilities, preferred Databricks. Have user experience of coding languages for data science and machine learning (e.g. Python, R). Have good written communication skills, including the ability to describe statistical results to non-statistical audiences. Experience processing large data sets and matching/merging multiple data sets. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
May 21, 2026
Contractor
Job Title: Data Scientist Location: Cardiff Salary/Rate: (Apply online only) per day inside IR35 Start Date: June Job Type: Initial 12 month contract Company Introduction We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled Data Scientist to conduct statistical analysis to support product strategy decisions. Job Responsibilities/Objectives This role is focused on supporting day-to-day analytical activities across customer portfolios, including credit application assessments, standard financial and risk analysis, and product-related analysis. The individual will also contribute to research and development initiatives, monitor and evaluate model performance, and support the migration of existing analytical processes to cloud-based platforms. Overall, the role requires a strong blend of analytical capability, technical understanding, and adaptability to evolving tools and environments. The ideal candidate will have experience in data mining, statistical methods, and modelling / scoring techniques. Required Skills/Experience The ideal candidate will have the following: Have experience of independently running analysis of large datasets, producing results and presenting these to business partners with support of data science peers. Have degree in computer science, mathematics, statistics or quantitative methods (or equivalent experience). Have good understanding of statistical methods applied to data analysis. Have user experience of Cloud capabilities, preferred Databricks. Have user experience of coding languages for data science and machine learning (e.g. Python, R). Have good written communication skills, including the ability to describe statistical results to non-statistical audiences. Experience processing large data sets and matching/merging multiple data sets. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
Principal AI Scientist - Learning & Assessment AI Location: UK Remote (Candidates must be UK based) Salary: 110,000 - 125,000 Employment Type: Permanent The Opportunity We're working with an innovative technology-led organisation that is transforming how AI is used within learning, assessment, and workforce skills development. They are seeking a Principal AI Scientist to lead the scientific design, validation, and evolution of next-generation AI-powered assessment and learning solutions embedded directly into the flow of work. This is a senior individual contributor role suited to someone with deep expertise across AI/ML, psychometrics, measurement science, and production-scale intelligent systems. The successful candidate will operate as a scientific authority within the organisation, shaping methodology, influencing product direction, and ensuring AI-driven solutions are fair, explainable, scalable, and scientifically rigorous. The role offers the opportunity to work at the intersection of modern AI systems, applied research, and enterprise-scale product delivery. The Role As Principal AI Scientist, you will take ownership of the scientific and methodological direction of AI-enabled learning and assessment products. You will work closely with product leadership, engineering teams, data scientists, and domain experts to translate advanced research into production-ready systems that deliver measurable user and business outcomes. This position requires someone comfortable operating in highly complex environments with significant technical, ethical, and commercial considerations. Key Responsibilities Scientific Leadership & Product Ownership Lead the scientific strategy for AI-enabled assessment, learning, and skills products Define robust methodologies balancing innovation, scalability, fairness, validity, and explainability Act as the senior scientific authority for assessment and measurement decisions Establish scientific standards, reusable frameworks, and evaluation methodologies Lead validation studies to ensure reliability, consistency, fairness, and performance stability Define and monitor scientific KPIs including drift detection, bias indicators, and model effectiveness Identify and mitigate scientific and measurement risks associated with AI systems at scale AI, Machine Learning & Modern AI Systems Apply AI and machine learning techniques, including LLMs and foundation models, to learning and assessment use cases Support development of AI-powered capabilities such as: Skills inference Adaptive assessment Automated content generation AI-driven feedback and reasoning systems Contribute to the evaluation and governance of agentic AI workflows Partner with engineering teams to ensure scientific integrity is maintained throughout implementation and deployment Support lifecycle monitoring and continuous improvement of production AI systems Research, Innovation & Strategic Influence Translate research findings into scalable, commercially viable product capabilities Produce thought leadership content including whitepapers and scientific insights Influence product and AI strategy through scientific expertise and evidence-based recommendations Support internal and external discussions around responsible AI and ethical AI implementation Engage with enterprise stakeholders and senior leadership on scientific and AI-related topics Required Experience Advanced degree (MSc or PhD preferred) in: Psychometrics Educational Measurement Statistics Machine Learning Artificial Intelligence Data Science Or equivalent commercial experience Proven experience building or leading AI-enabled assessment or measurement systems Deep expertise in validation methodologies, statistical modelling, and measurement theory Strong applied experience with machine learning and AI systems in production environments Practical understanding of modern AI architectures including Large Language Models (LLMs) Experience collaborating closely with engineering and product teams Ability to influence technical and strategic decisions through expertise rather than direct authority Experience operating in complex, high-ambiguity environments with significant business or ethical risk considerations Desirable Experience Experience applying LLMs within learning, workforce skills, or assessment products Exposure to adaptive testing, continuous assessment, or automated item/content generation Experience evaluating or governing AI agentic workflows Background within learning technology, education technology, workforce development, or skills ecosystems Experience working on enterprise-scale or long-lived AI platforms What They're Looking For A scientifically rigorous thinker with strong commercial awareness Someone passionate about responsible and explainable AI Comfortable balancing research innovation with practical delivery Strong communicator able to work across technical and non-technical audiences A collaborative leader who enjoys solving complex real-world problems Package 110,000 - 125,000 salary Fully remote role within the UK High-impact position within a cutting-edge AI environment Opportunity to influence next-generation AI products at scale Please note: Applicants must be based in the UK. Sponsorship is not available for this position.
May 20, 2026
Full time
Principal AI Scientist - Learning & Assessment AI Location: UK Remote (Candidates must be UK based) Salary: 110,000 - 125,000 Employment Type: Permanent The Opportunity We're working with an innovative technology-led organisation that is transforming how AI is used within learning, assessment, and workforce skills development. They are seeking a Principal AI Scientist to lead the scientific design, validation, and evolution of next-generation AI-powered assessment and learning solutions embedded directly into the flow of work. This is a senior individual contributor role suited to someone with deep expertise across AI/ML, psychometrics, measurement science, and production-scale intelligent systems. The successful candidate will operate as a scientific authority within the organisation, shaping methodology, influencing product direction, and ensuring AI-driven solutions are fair, explainable, scalable, and scientifically rigorous. The role offers the opportunity to work at the intersection of modern AI systems, applied research, and enterprise-scale product delivery. The Role As Principal AI Scientist, you will take ownership of the scientific and methodological direction of AI-enabled learning and assessment products. You will work closely with product leadership, engineering teams, data scientists, and domain experts to translate advanced research into production-ready systems that deliver measurable user and business outcomes. This position requires someone comfortable operating in highly complex environments with significant technical, ethical, and commercial considerations. Key Responsibilities Scientific Leadership & Product Ownership Lead the scientific strategy for AI-enabled assessment, learning, and skills products Define robust methodologies balancing innovation, scalability, fairness, validity, and explainability Act as the senior scientific authority for assessment and measurement decisions Establish scientific standards, reusable frameworks, and evaluation methodologies Lead validation studies to ensure reliability, consistency, fairness, and performance stability Define and monitor scientific KPIs including drift detection, bias indicators, and model effectiveness Identify and mitigate scientific and measurement risks associated with AI systems at scale AI, Machine Learning & Modern AI Systems Apply AI and machine learning techniques, including LLMs and foundation models, to learning and assessment use cases Support development of AI-powered capabilities such as: Skills inference Adaptive assessment Automated content generation AI-driven feedback and reasoning systems Contribute to the evaluation and governance of agentic AI workflows Partner with engineering teams to ensure scientific integrity is maintained throughout implementation and deployment Support lifecycle monitoring and continuous improvement of production AI systems Research, Innovation & Strategic Influence Translate research findings into scalable, commercially viable product capabilities Produce thought leadership content including whitepapers and scientific insights Influence product and AI strategy through scientific expertise and evidence-based recommendations Support internal and external discussions around responsible AI and ethical AI implementation Engage with enterprise stakeholders and senior leadership on scientific and AI-related topics Required Experience Advanced degree (MSc or PhD preferred) in: Psychometrics Educational Measurement Statistics Machine Learning Artificial Intelligence Data Science Or equivalent commercial experience Proven experience building or leading AI-enabled assessment or measurement systems Deep expertise in validation methodologies, statistical modelling, and measurement theory Strong applied experience with machine learning and AI systems in production environments Practical understanding of modern AI architectures including Large Language Models (LLMs) Experience collaborating closely with engineering and product teams Ability to influence technical and strategic decisions through expertise rather than direct authority Experience operating in complex, high-ambiguity environments with significant business or ethical risk considerations Desirable Experience Experience applying LLMs within learning, workforce skills, or assessment products Exposure to adaptive testing, continuous assessment, or automated item/content generation Experience evaluating or governing AI agentic workflows Background within learning technology, education technology, workforce development, or skills ecosystems Experience working on enterprise-scale or long-lived AI platforms What They're Looking For A scientifically rigorous thinker with strong commercial awareness Someone passionate about responsible and explainable AI Comfortable balancing research innovation with practical delivery Strong communicator able to work across technical and non-technical audiences A collaborative leader who enjoys solving complex real-world problems Package 110,000 - 125,000 salary Fully remote role within the UK High-impact position within a cutting-edge AI environment Opportunity to influence next-generation AI products at scale Please note: Applicants must be based in the UK. Sponsorship is not available for this position.
Senior Data Science Consultant £60k - £70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate £1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
May 19, 2026
Full time
Senior Data Science Consultant £60k - £70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate £1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Head of AI & Machine Learning London (Hybrid - 2 days on-site) £180,000 base + equity + bonus The Opportunity I'm working with one of the UK's most exciting AI scale-ups, a forward-thinking business that's just secured a significant Series B funding round. They're building cutting-edge, applied AI technology that's already making a real impact across industries, and now they're looking for a Head of AI & Machine Learning to lead the next stage of growth. This is a chance to step into a senior leadership role where you'll shape the entire AI strategy and grow and inspire a high-performing team The Role As Head of AI & Machine Learning, you'll sit on the senior leadership team and play a pivotal role in setting the technical direction of the company. This role blends hands-on technical expertise with strategic leadership. You'll: Own and drive the AI/ML strategy across the organisation. Lead and scale a world-class team of data scientists and ML engineers. Guide research and development of advanced machine learning and generative AI solutions. Partner with product and engineering teams to deliver AI-driven features into a rapidly scaling platform. Keep the company ahead of the curve on emerging AI trends and represent them externally as a thought leader. What They're Looking For A proven leader with experience heading up AI/ML teams in a high-growth tech environment. Deep technical expertise across machine learning, deep learning, and ideally generative AI. Strong ability to combine strategy with execution, from setting vision to delivering production-grade AI systems. Excellent stakeholder skills, with experience working closely with product and engineering leaders. A passion for building teams, driving innovation, and scaling applied AI solutions. What's available £180k+ salary with equity upside. Backed by top-tier investors, huge runway for growth. A platform with global ambitions, scaling fast. Hybrid flexibility (2 days a week in central London). RSG Plc is acting as an Employment Agency in relation to this vacancy.
Oct 01, 2025
Full time
Head of AI & Machine Learning London (Hybrid - 2 days on-site) £180,000 base + equity + bonus The Opportunity I'm working with one of the UK's most exciting AI scale-ups, a forward-thinking business that's just secured a significant Series B funding round. They're building cutting-edge, applied AI technology that's already making a real impact across industries, and now they're looking for a Head of AI & Machine Learning to lead the next stage of growth. This is a chance to step into a senior leadership role where you'll shape the entire AI strategy and grow and inspire a high-performing team The Role As Head of AI & Machine Learning, you'll sit on the senior leadership team and play a pivotal role in setting the technical direction of the company. This role blends hands-on technical expertise with strategic leadership. You'll: Own and drive the AI/ML strategy across the organisation. Lead and scale a world-class team of data scientists and ML engineers. Guide research and development of advanced machine learning and generative AI solutions. Partner with product and engineering teams to deliver AI-driven features into a rapidly scaling platform. Keep the company ahead of the curve on emerging AI trends and represent them externally as a thought leader. What They're Looking For A proven leader with experience heading up AI/ML teams in a high-growth tech environment. Deep technical expertise across machine learning, deep learning, and ideally generative AI. Strong ability to combine strategy with execution, from setting vision to delivering production-grade AI systems. Excellent stakeholder skills, with experience working closely with product and engineering leaders. A passion for building teams, driving innovation, and scaling applied AI solutions. What's available £180k+ salary with equity upside. Backed by top-tier investors, huge runway for growth. A platform with global ambitions, scaling fast. Hybrid flexibility (2 days a week in central London). RSG Plc is acting as an Employment Agency in relation to this vacancy.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Data Science practice at Sky Data science is at the heart of decision making in Sky and drives a majority of decisions across marketing, customer interactions and customer services at Sky. In the Advanced Analytics team, w e are scaling up our data science practice to transform how we manage customers across all life cycles for both experience profitability. We have built and successfully deployed intelligence into Sky and are already delivering realisable value into the business. We gather a very large amount of data on customer behaviours and interactions and are looking for data scientists to extra ct value from our data assets and maximise customer value. What you'll do: Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms : work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve our customer experience . Designing and implementing innovative and commercially led data science and insights roadmaps with stakeholders (marketing, retention, service, finance) to improve the way they make decisions: hypotheses-led problem solving to deliver solutions to business problems . Engage with our technology teams and data engineers to build compliant, efficient and scalable solutions Strengthen our internal data science capabilities by continuously innovating and driving new ideas, building technology partnerships with our vendors, training and developing our people and creating a world class data science team at Sky Engage with key stakeholders (marketing, retention, service, finance) to understand business objectives and support these objectives through best use of advanced analytics approaches. Responsible for identifying the best analytical techniques, developing the solution, creating a fram ework for testing the solution and measuring the incremental value to the business from the solution What you'll bring: Expertise in multiple advanced analytical areas including Forecasting, Predictive Modelling, Optimisation, Clustering or NLP Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environmen t Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution alongside stakeholder s are essential Commercial knowledge and applications of data science to drive commercial value is a must - everything we do drives value into the business Proven expertise in leading the development and deployment of big data solutions on Cloud platforms (essential) Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Oct 01, 2025
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Data Science practice at Sky Data science is at the heart of decision making in Sky and drives a majority of decisions across marketing, customer interactions and customer services at Sky. In the Advanced Analytics team, w e are scaling up our data science practice to transform how we manage customers across all life cycles for both experience profitability. We have built and successfully deployed intelligence into Sky and are already delivering realisable value into the business. We gather a very large amount of data on customer behaviours and interactions and are looking for data scientists to extra ct value from our data assets and maximise customer value. What you'll do: Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms : work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve our customer experience . Designing and implementing innovative and commercially led data science and insights roadmaps with stakeholders (marketing, retention, service, finance) to improve the way they make decisions: hypotheses-led problem solving to deliver solutions to business problems . Engage with our technology teams and data engineers to build compliant, efficient and scalable solutions Strengthen our internal data science capabilities by continuously innovating and driving new ideas, building technology partnerships with our vendors, training and developing our people and creating a world class data science team at Sky Engage with key stakeholders (marketing, retention, service, finance) to understand business objectives and support these objectives through best use of advanced analytics approaches. Responsible for identifying the best analytical techniques, developing the solution, creating a fram ework for testing the solution and measuring the incremental value to the business from the solution What you'll bring: Expertise in multiple advanced analytical areas including Forecasting, Predictive Modelling, Optimisation, Clustering or NLP Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environmen t Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution alongside stakeholder s are essential Commercial knowledge and applications of data science to drive commercial value is a must - everything we do drives value into the business Proven expertise in leading the development and deployment of big data solutions on Cloud platforms (essential) Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
