The Role Digital Transformation Consulting (DTC) is seeking a Junior Data Scientist to join the Insight practice, a rapidly expanding and strategically important capability within Atos UK Consulting. This is a consulting led, early career role for an individual with a strong analytical foundation, curiosity for data and AI, and a desire to gain hands on experience delivering real world data science solutions for UK Government and enterprise clients. The role is ideal for someone looking to grow technical capability while developing strong client facing consulting skills. The Opportunity As a Junior Data Scientist, you will work within multidisciplinary teams, supporting senior data scientists, consultants, and engineers to deliver analytics and AI driven solutions. You will gain exposure across the full data science lifecycle, from problem exploration and data preparation through to model development, evaluation, and deployment, supported by structured learning and mentoring. What you will do Support client engagements by analysing data, exploring patterns, and helping frame business and analytical problems. Assist in developing and evaluating statistical models, machine learning solutions, and AI enabled analytics. Contribute to the design and delivery of data science solutions alongside senior data scientists and data engineers. Prepare data, features, and documentation to support reproducible and well governed analytics. Communicate findings clearly within project teams and support the translation of insights into business focused outputs. Apply responsible, ethical, and secure data and AI practices across client work. Develop skills through on the job learning, training, and mentoring within the Insight practice. Skills we can't do without Analytical thinking skills Python or data tools Curiosity for data and AI Additional Requirements Security clearance (SC / BPSS) Exposure to machine learning Statistics or modelling knowledge Strong Python skills and familiarity with core libraries (pandas, NumPy, scikit learn) Deep learning and NLP stacks (PyTorch, HuggingFace Transformers) Cloud or data platform familiarity Working Model Hybrid working model with a balance of client site, office, and home working. Pension Scheme - contributions matched up to 10% Private medical cover Income Protection Life Assurance 25 days paid leave + National Holidays Flex benefits program As a Disability Confident employer, we encourage applications from all candidates, especially differently abled applicants. We are committed to making reasonable adjustments to the application and assessment process to accommodate your needs. We are a care leaver friendly employer.
10/05/2026
Full time
The Role Digital Transformation Consulting (DTC) is seeking a Junior Data Scientist to join the Insight practice, a rapidly expanding and strategically important capability within Atos UK Consulting. This is a consulting led, early career role for an individual with a strong analytical foundation, curiosity for data and AI, and a desire to gain hands on experience delivering real world data science solutions for UK Government and enterprise clients. The role is ideal for someone looking to grow technical capability while developing strong client facing consulting skills. The Opportunity As a Junior Data Scientist, you will work within multidisciplinary teams, supporting senior data scientists, consultants, and engineers to deliver analytics and AI driven solutions. You will gain exposure across the full data science lifecycle, from problem exploration and data preparation through to model development, evaluation, and deployment, supported by structured learning and mentoring. What you will do Support client engagements by analysing data, exploring patterns, and helping frame business and analytical problems. Assist in developing and evaluating statistical models, machine learning solutions, and AI enabled analytics. Contribute to the design and delivery of data science solutions alongside senior data scientists and data engineers. Prepare data, features, and documentation to support reproducible and well governed analytics. Communicate findings clearly within project teams and support the translation of insights into business focused outputs. Apply responsible, ethical, and secure data and AI practices across client work. Develop skills through on the job learning, training, and mentoring within the Insight practice. Skills we can't do without Analytical thinking skills Python or data tools Curiosity for data and AI Additional Requirements Security clearance (SC / BPSS) Exposure to machine learning Statistics or modelling knowledge Strong Python skills and familiarity with core libraries (pandas, NumPy, scikit learn) Deep learning and NLP stacks (PyTorch, HuggingFace Transformers) Cloud or data platform familiarity Working Model Hybrid working model with a balance of client site, office, and home working. Pension Scheme - contributions matched up to 10% Private medical cover Income Protection Life Assurance 25 days paid leave + National Holidays Flex benefits program As a Disability Confident employer, we encourage applications from all candidates, especially differently abled applicants. We are committed to making reasonable adjustments to the application and assessment process to accommodate your needs. We are a care leaver friendly employer.
Ernst & Young Advisory Services Sdn Bhd
Manchester, Lancashire
(INV) Senior Manager, AI & Data, Data Strategist, Infrastructure TC UKI Location: Manchester Other locations: Primary Location Only Date: 7 May 2026 Requisition ID: Position Overview We are seeking a Senior Manager grade AI and Data Strategist to guide and coordinate AI transformation initiatives for clients across the infrastructure sector. This role demands a strategic business technologist who can translate AI capabilities into tangible business value while designing the organisational frameworks needed to become an AI first enterprise. Lead an engagement workstream consisting of AI consultants and architects to define comprehensive AI and data strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors Bring current global thinking and trends in the AI, Automation and Data space including within EY Carry out in-depth analysis of infrastructure specific value chain and identify a portfolio of high impact AI use cases, to drive revenue growth, operational efficiency, and competitive differentiation Assess organisational AI and data maturity and create tailored roadmaps for transformation including business cases, operating models, organisational structure and capabilities required to deliver the strategy Direct the definition of high level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation) Lead cross functional workshops and design sessions with senior stakeholders to influence and align diverse stakeholder groups around a unified AI vision Present complex AI concepts and recommendations to senior leadership audiences Prioritise AI initiatives based on strategic value, feasibility, and organisational readiness Contribute to solution development and oversee quality of proposals for AI led transformation Provide mentorship and guidance to team members and develop reusable assets Support change management initiatives to embed AI driven and automation enabled culture across client organisations. Ensure strategies align with ethical AI principles, regulatory compliance (e.g., GDPR, AI Act), and risk mitigation frameworks Support internal processes to approve designs and proposals that have integrity and are commercially sound Essential Qualifications STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field Strong experience of delivering enterprise level AI strategies for complex or multinational organisations Expertise and interest in the UK Infrastructure sector including HMG commitments such as National Infrastructure Strategy and Ten Point Plan for a Green Industrial Revolution Experience in designing operating models and organisational structures for data and AI functions Experience working with client organisations to write business or investment cases Strong understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation Knowledge of modern data governance frameworks and architectures, cloud platforms, and AI infrastructure including DAMA Knowledge of AI governance frameworks, model risk management, and regulatory requirements Strategic thinking with demonstrated ability to translate complex technical concepts into business language Soft Skills Team leadership and coaching skills Communication and presentation skills Stakeholder management skills, including facilitation and workshop design capabilities as well as the ability to influence senior stakeholders Demonstrated ability to collaborate in multi disciplinary teams (data scientists, engineers, business strategists) Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment Strategic thinking with demonstrated ability to translate complex technical concepts into business language and explain how they drive business value Preferred Criteria Experience with Big 4 consulting methodologies and framework Preferred Qualification Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies)
10/05/2026
Full time
(INV) Senior Manager, AI & Data, Data Strategist, Infrastructure TC UKI Location: Manchester Other locations: Primary Location Only Date: 7 May 2026 Requisition ID: Position Overview We are seeking a Senior Manager grade AI and Data Strategist to guide and coordinate AI transformation initiatives for clients across the infrastructure sector. This role demands a strategic business technologist who can translate AI capabilities into tangible business value while designing the organisational frameworks needed to become an AI first enterprise. Lead an engagement workstream consisting of AI consultants and architects to define comprehensive AI and data strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors Bring current global thinking and trends in the AI, Automation and Data space including within EY Carry out in-depth analysis of infrastructure specific value chain and identify a portfolio of high impact AI use cases, to drive revenue growth, operational efficiency, and competitive differentiation Assess organisational AI and data maturity and create tailored roadmaps for transformation including business cases, operating models, organisational structure and capabilities required to deliver the strategy Direct the definition of high level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation) Lead cross functional workshops and design sessions with senior stakeholders to influence and align diverse stakeholder groups around a unified AI vision Present complex AI concepts and recommendations to senior leadership audiences Prioritise AI initiatives based on strategic value, feasibility, and organisational readiness Contribute to solution development and oversee quality of proposals for AI led transformation Provide mentorship and guidance to team members and develop reusable assets Support change management initiatives to embed AI driven and automation enabled culture across client organisations. Ensure strategies align with ethical AI principles, regulatory compliance (e.g., GDPR, AI Act), and risk mitigation frameworks Support internal processes to approve designs and proposals that have integrity and are commercially sound Essential Qualifications STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field Strong experience of delivering enterprise level AI strategies for complex or multinational organisations Expertise and interest in the UK Infrastructure sector including HMG commitments such as National Infrastructure Strategy and Ten Point Plan for a Green Industrial Revolution Experience in designing operating models and organisational structures for data and AI functions Experience working with client organisations to write business or investment cases Strong understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation Knowledge of modern data governance frameworks and architectures, cloud platforms, and AI infrastructure including DAMA Knowledge of AI governance frameworks, model risk management, and regulatory requirements Strategic thinking with demonstrated ability to translate complex technical concepts into business language Soft Skills Team leadership and coaching skills Communication and presentation skills Stakeholder management skills, including facilitation and workshop design capabilities as well as the ability to influence senior stakeholders Demonstrated ability to collaborate in multi disciplinary teams (data scientists, engineers, business strategists) Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment Strategic thinking with demonstrated ability to translate complex technical concepts into business language and explain how they drive business value Preferred Criteria Experience with Big 4 consulting methodologies and framework Preferred Qualification Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies)
May Business Consulting
Milton Keynes, Buckinghamshire
En MBC seguimos creciendo y ahora buscamos un/a Data Scientist - AI & Models (CDAIO) para incorporarse a un proyecto internacional de alto impacto dentro del sector bancario. Sobre el perfil Buscamos un perfil de Junior Data Scientist con pasión por la Inteligencia Artificial, el Machine Learning y el análisis avanzado de datos, para participar en proyectos estratégicos dentro del entorno de Corporate & Investment Banking. Tendrás la oportunidad de trabajar en un entorno innovador y dinámico, colaborando con equipos multidisciplinares en el desarrollo de soluciones de IA aplicadas a negocio, automatización, riesgos y analítica avanzada. Funciones Desarrollar e implementar modelos de Machine Learning e Inteligencia Artificial aplicados a distintos casos de uso del negocio. Participar en tareas de exploración de datos, feature engineering y evaluación de modelos. Aplicar técnicas estadísticas y de validación de modelos: cross-validation, calibración, robustez y análisis de sensibilidad. Construir y mantener pipelines reproducibles de entrenamiento, inferencia y monitorización de modelos. Colaborar en iniciativas de explainability y gobierno del dato/modelo (SHAP, feature attribution, estabilidad, documentación, etc.). Traducir necesidades de negocio en objetivos analíticos y modelos medibles. Participar en el ciclo completo de vida del modelo: investigación, prototipado, despliegue y seguimiento. Trabajar junto a perfiles técnicos y de negocio en un entorno Agile y colaborativo. Mantenerse actualizado/a sobre tendencias de IA moderna: Deep Learning, LLMs, NLP y herramientas emergentes. Requisitos Grado o Máster en Informática, Matemáticas, Estadística, Física, Ingeniería o disciplinas cuantitativas similares. Base sólida en álgebra lineal, probabilidad, estadística, optimización y métodos numéricos. Experiencia programando en Python. Conocimiento práctico de librerías de Machine Learning como scikit-learn. Familiaridad con frameworks de Deep Learning como PyTorch o TensorFlow. Experiencia trabajando con pandas, numpy y consultas SQL. Conocimiento de métricas y evaluación de modelos: AUC, precision/recall, RMSE, calibración, etc. Capacidad de comunicación y trabajo en equipo en entornos multidisciplinares. Nivel profesional de inglés. Valorable Experiencia previa en posiciones similares. Conocimientos de NLP, Transformers, LLMs o IA Generativa. Familiaridad con herramientas y conceptos de MLOps: MLflow, Docker, CI/CD, monitorización de modelos. Experiencia con plataformas cloud: AWS, Azure o GCP. Conocimiento de Spark y/o Databricks. Experiencia en modelos de series temporales, stress testing o causal inference. Interés o experiencia en entornos de Corporate & Investment Banking. Conocimientos de riesgos financieros: credit risk, market risk, liquidity risk u operational risk. Familiaridad con métricas financieras y gobierno/model risk en entornos regulados. Mejor si tienes Proactividad. Afán de superación. Empatía y capacidad de trabajo en equipo. Capacidad de aprendizaje y atención al detalle. Orientación al cliente. Ofrecemos Paquete retributivo abierto: nos adaptamos a tu experiencia y expectativas. Retribución flexible: seguro médico, cheques restaurante, formación, etc. Formación gratuita para ayudarte en tu crecimiento profesional. Clases de inglés gratis dependiendo de tu nivel. Participar en diversos proyectos interesantes con enfoque internacional y en un sector en continuo crecimiento. Incorporación a proyectos punteros de IA aplicada al sector bancario. Entorno colaborativo con aprendizaje continuo y mentoring técnico. Participación en iniciativas end-to-end con impacto real en negocio. Se valorarán candidaturas de personas con discapacidad igual o superior al 33 %, siempre que puedan desarrollar las funciones propias del puesto. Lugar: Madrid (Híbrido)
10/05/2026
Full time
En MBC seguimos creciendo y ahora buscamos un/a Data Scientist - AI & Models (CDAIO) para incorporarse a un proyecto internacional de alto impacto dentro del sector bancario. Sobre el perfil Buscamos un perfil de Junior Data Scientist con pasión por la Inteligencia Artificial, el Machine Learning y el análisis avanzado de datos, para participar en proyectos estratégicos dentro del entorno de Corporate & Investment Banking. Tendrás la oportunidad de trabajar en un entorno innovador y dinámico, colaborando con equipos multidisciplinares en el desarrollo de soluciones de IA aplicadas a negocio, automatización, riesgos y analítica avanzada. Funciones Desarrollar e implementar modelos de Machine Learning e Inteligencia Artificial aplicados a distintos casos de uso del negocio. Participar en tareas de exploración de datos, feature engineering y evaluación de modelos. Aplicar técnicas estadísticas y de validación de modelos: cross-validation, calibración, robustez y análisis de sensibilidad. Construir y mantener pipelines reproducibles de entrenamiento, inferencia y monitorización de modelos. Colaborar en iniciativas de explainability y gobierno del dato/modelo (SHAP, feature attribution, estabilidad, documentación, etc.). Traducir necesidades de negocio en objetivos analíticos y modelos medibles. Participar en el ciclo completo de vida del modelo: investigación, prototipado, despliegue y seguimiento. Trabajar junto a perfiles técnicos y de negocio en un entorno Agile y colaborativo. Mantenerse actualizado/a sobre tendencias de IA moderna: Deep Learning, LLMs, NLP y herramientas emergentes. Requisitos Grado o Máster en Informática, Matemáticas, Estadística, Física, Ingeniería o disciplinas cuantitativas similares. Base sólida en álgebra lineal, probabilidad, estadística, optimización y métodos numéricos. Experiencia programando en Python. Conocimiento práctico de librerías de Machine Learning como scikit-learn. Familiaridad con frameworks de Deep Learning como PyTorch o TensorFlow. Experiencia trabajando con pandas, numpy y consultas SQL. Conocimiento de métricas y evaluación de modelos: AUC, precision/recall, RMSE, calibración, etc. Capacidad de comunicación y trabajo en equipo en entornos multidisciplinares. Nivel profesional de inglés. Valorable Experiencia previa en posiciones similares. Conocimientos de NLP, Transformers, LLMs o IA Generativa. Familiaridad con herramientas y conceptos de MLOps: MLflow, Docker, CI/CD, monitorización de modelos. Experiencia con plataformas cloud: AWS, Azure o GCP. Conocimiento de Spark y/o Databricks. Experiencia en modelos de series temporales, stress testing o causal inference. Interés o experiencia en entornos de Corporate & Investment Banking. Conocimientos de riesgos financieros: credit risk, market risk, liquidity risk u operational risk. Familiaridad con métricas financieras y gobierno/model risk en entornos regulados. Mejor si tienes Proactividad. Afán de superación. Empatía y capacidad de trabajo en equipo. Capacidad de aprendizaje y atención al detalle. Orientación al cliente. Ofrecemos Paquete retributivo abierto: nos adaptamos a tu experiencia y expectativas. Retribución flexible: seguro médico, cheques restaurante, formación, etc. Formación gratuita para ayudarte en tu crecimiento profesional. Clases de inglés gratis dependiendo de tu nivel. Participar en diversos proyectos interesantes con enfoque internacional y en un sector en continuo crecimiento. Incorporación a proyectos punteros de IA aplicada al sector bancario. Entorno colaborativo con aprendizaje continuo y mentoring técnico. Participación en iniciativas end-to-end con impacto real en negocio. Se valorarán candidaturas de personas con discapacidad igual o superior al 33 %, siempre que puedan desarrollar las funciones propias del puesto. Lugar: Madrid (Híbrido)
Role: Data Scientist Location: UK, London Applicants must have the existing right to work in the UK. This role is not eligible for visa sponsorship. Job type: Full time, Permanent - Hybrid This position offers a hybrid work model, allowing flexibility between working from home and our office. Typically, employees are expected to work 2 days in the office per week. Why QS? At QS, we believe that work should empower you. That's why we foster a flexible working environment that encourages every employee to own their career whilst flourishing personally and professionally. Our company values underpin everything we do - we collaborate, respect and support each other. It's our mission to empower motivated people around the world to fulfil their potential through higher education, ensuring that everyone has access to opportunities that change lives. Our diversity makes us stronger. By sharing our experiences, we learn from one another and achieve more together, driving progress across the sector. At QS, you'll be responsible for implementing real change in the international higher education landscape. You'll take on meaningful challenges that see a positive impact across the business and the wider sector. We're confident you'll feel right at home here. QS was named as one of Newsweek's Top 100 Most Loved Workplaces in the UK (October 2023), recognising the respect, trust and appreciation that drive our culture every day. And as a gold-accredited Investors in People organisation - putting us among the top 28% of workplaces globally - it's official: QS is a place where everyone can thrive. As a Data Scientist, this is what you'll be doing: As a Data Scientist, you will work on high-impact analytical and modelling projects that sit at the core of QS's mission to improve higher education worldwide. You will develop models and pipelines that power university ranking simulations, track global skill movements, and predict student behaviour at scale. You'll collaborate closely with senior data scientists, engineers, and product teams, using QS's rich global datasets to build robust, production-grade solutions. This role is ideal for someone who wants to deepen their technical expertise while contributing to work that influences institutions, learners, and policymakers around the world. Role responsibilities Model Development Build and validate predictive, simulation and ranking-related models that inform global higher education and workforce insights. Develop models for student propensity, skills mobility, institutional performance and labour market trends. Engineer and transform structured, semi structured and longitudinal datasets into features suitable for production pipelines. Apply a range of statistical and machine learning techniques (e.g., gradient boosted models, graph methods, NLP, sequential simulation) to solve domain specific problems. Experimentation & Analysis Design and run experiments to evaluate model performance and real world impact. Develop metrics frameworks to benchmark ranking methodologies and predictive systems. Communicate analytical findings clearly to technical and non technical stakeholders across the business. Collaboration Work closely with Data Engineering to ensure modelling requirements are embedded into data pipelines and feature stores. Partner with Product and domain experts (rankings, labour market intelligence, student mobility) to ensure models align with business and sector needs. Documentation & Standards Document workflows, modelling decisions, assumptions and evaluation results. Contribute to shared modelling components, best practices and reusable analytical assets. Key skills and experience Proven experience in applied machine learning or data science. Proficiency in Python and SQL; experience with ML libraries such as scikit learn, LightGBM, TensorFlow, PyTorch, MLflow. Strong grounding in statistics, feature engineering and data wrangling. Familiarity with cloud platforms (AWS preferred) and Git. Ability to tackle ambiguous analytical problems and work collaboratively in cross functional teams. Bachelor's or Master's degree in a quantitative field (Computer Science, Statistics, Mathematics or related). Please note, if you don't meet all the criteria but believe you have the skills and passion to thrive in this role, we encourage you to apply. So, who are we and what do we do? QS is the world leader in higher education services, analytics, insights and intelligence. From consultancy to student mobility, academic partnerships to branding solutions, our services power both institutional and individual success. We're behind the world's most widely read university rankings (Meltwater 2023). Our QS World University Rankings reach hundreds of millions, shaping decisions and guiding futures. Since launching in 1990, our impact and influence have only grown. Today, we work with more than 2,000 of the world's leading higher education institutions, over 12,000 employers, and governments seeking change and socioeconomic development through higher education. Join QS and you'll join an 800-strong community of problem solvers, creators, collaborators and change makers based in 40+ countries and 11 international offices, including Australia, Malaysia, India, Romania, Singapore, France, Germany, the USA and our headquarters in London. With every talented new hire, business acquisition and bold initiative, we're strengthening our reach and delivering even greater value to institutions and learners worldwide. Are you ready to shape the future of higher education? We take investing in our people very seriously. As standard you will have: Competitive base salary Access to an annual bonus scheme (for qualifying roles only) 25 days annual leave, plus bank holidays - increasing to 27 days after 5 years' Access to a Buy Holiday scheme allowing you to buy up to 5 additional holiday days per year Enhanced maternity and paternity leave Generous pension through Royal London Comprehensive private medical insurance and wellness scheme through Vitality Cycle to work scheme A vibrant social environment and multicultural and multinational culture But that's not all. Free subscription to the Calm App - the app for sleep, meditation, and relaxation A focus on welfare which is led by our global wellness team, with mental health first aiders globally Access to a variety of diversity and inclusion initiatives and groups Strong recognition and reward programs - including a peer to peer recognition platform, quarterly and annual QS Applaud Awards, Connect with your Career annual PD event Support for volunteering and study leave Free subscription to LinkedIn learning - with over 5000 courses and programmes at your fingertips Options to join our outstanding global Mentorship programme Like what you've heard? Great, apply now! As a candidate, we know the application and interview process can be daunting and so it's important that you have a great experience with us. Our dedicated Talent Team will work hard to ensure you are fully informed at all stages and you are really excited by this opportunity to do meaningful work in the education space. Equal opportunities QS Quacquarelli Symonds is proud to be a fair and equal organisation where everyone has the same opportunity to achieve their full potential, irrespective of their background or personal attributes. We celebrate our diversity and believe through sharing our experiences we can learn from one another, be stronger together, and enable our business to thrive. Please keep an eye on your spam / junk email folder for correspondence from BambooHR
09/05/2026
Full time
Role: Data Scientist Location: UK, London Applicants must have the existing right to work in the UK. This role is not eligible for visa sponsorship. Job type: Full time, Permanent - Hybrid This position offers a hybrid work model, allowing flexibility between working from home and our office. Typically, employees are expected to work 2 days in the office per week. Why QS? At QS, we believe that work should empower you. That's why we foster a flexible working environment that encourages every employee to own their career whilst flourishing personally and professionally. Our company values underpin everything we do - we collaborate, respect and support each other. It's our mission to empower motivated people around the world to fulfil their potential through higher education, ensuring that everyone has access to opportunities that change lives. Our diversity makes us stronger. By sharing our experiences, we learn from one another and achieve more together, driving progress across the sector. At QS, you'll be responsible for implementing real change in the international higher education landscape. You'll take on meaningful challenges that see a positive impact across the business and the wider sector. We're confident you'll feel right at home here. QS was named as one of Newsweek's Top 100 Most Loved Workplaces in the UK (October 2023), recognising the respect, trust and appreciation that drive our culture every day. And as a gold-accredited Investors in People organisation - putting us among the top 28% of workplaces globally - it's official: QS is a place where everyone can thrive. As a Data Scientist, this is what you'll be doing: As a Data Scientist, you will work on high-impact analytical and modelling projects that sit at the core of QS's mission to improve higher education worldwide. You will develop models and pipelines that power university ranking simulations, track global skill movements, and predict student behaviour at scale. You'll collaborate closely with senior data scientists, engineers, and product teams, using QS's rich global datasets to build robust, production-grade solutions. This role is ideal for someone who wants to deepen their technical expertise while contributing to work that influences institutions, learners, and policymakers around the world. Role responsibilities Model Development Build and validate predictive, simulation and ranking-related models that inform global higher education and workforce insights. Develop models for student propensity, skills mobility, institutional performance and labour market trends. Engineer and transform structured, semi structured and longitudinal datasets into features suitable for production pipelines. Apply a range of statistical and machine learning techniques (e.g., gradient boosted models, graph methods, NLP, sequential simulation) to solve domain specific problems. Experimentation & Analysis Design and run experiments to evaluate model performance and real world impact. Develop metrics frameworks to benchmark ranking methodologies and predictive systems. Communicate analytical findings clearly to technical and non technical stakeholders across the business. Collaboration Work closely with Data Engineering to ensure modelling requirements are embedded into data pipelines and feature stores. Partner with Product and domain experts (rankings, labour market intelligence, student mobility) to ensure models align with business and sector needs. Documentation & Standards Document workflows, modelling decisions, assumptions and evaluation results. Contribute to shared modelling components, best practices and reusable analytical assets. Key skills and experience Proven experience in applied machine learning or data science. Proficiency in Python and SQL; experience with ML libraries such as scikit learn, LightGBM, TensorFlow, PyTorch, MLflow. Strong grounding in statistics, feature engineering and data wrangling. Familiarity with cloud platforms (AWS preferred) and Git. Ability to tackle ambiguous analytical problems and work collaboratively in cross functional teams. Bachelor's or Master's degree in a quantitative field (Computer Science, Statistics, Mathematics or related). Please note, if you don't meet all the criteria but believe you have the skills and passion to thrive in this role, we encourage you to apply. So, who are we and what do we do? QS is the world leader in higher education services, analytics, insights and intelligence. From consultancy to student mobility, academic partnerships to branding solutions, our services power both institutional and individual success. We're behind the world's most widely read university rankings (Meltwater 2023). Our QS World University Rankings reach hundreds of millions, shaping decisions and guiding futures. Since launching in 1990, our impact and influence have only grown. Today, we work with more than 2,000 of the world's leading higher education institutions, over 12,000 employers, and governments seeking change and socioeconomic development through higher education. Join QS and you'll join an 800-strong community of problem solvers, creators, collaborators and change makers based in 40+ countries and 11 international offices, including Australia, Malaysia, India, Romania, Singapore, France, Germany, the USA and our headquarters in London. With every talented new hire, business acquisition and bold initiative, we're strengthening our reach and delivering even greater value to institutions and learners worldwide. Are you ready to shape the future of higher education? We take investing in our people very seriously. As standard you will have: Competitive base salary Access to an annual bonus scheme (for qualifying roles only) 25 days annual leave, plus bank holidays - increasing to 27 days after 5 years' Access to a Buy Holiday scheme allowing you to buy up to 5 additional holiday days per year Enhanced maternity and paternity leave Generous pension through Royal London Comprehensive private medical insurance and wellness scheme through Vitality Cycle to work scheme A vibrant social environment and multicultural and multinational culture But that's not all. Free subscription to the Calm App - the app for sleep, meditation, and relaxation A focus on welfare which is led by our global wellness team, with mental health first aiders globally Access to a variety of diversity and inclusion initiatives and groups Strong recognition and reward programs - including a peer to peer recognition platform, quarterly and annual QS Applaud Awards, Connect with your Career annual PD event Support for volunteering and study leave Free subscription to LinkedIn learning - with over 5000 courses and programmes at your fingertips Options to join our outstanding global Mentorship programme Like what you've heard? Great, apply now! As a candidate, we know the application and interview process can be daunting and so it's important that you have a great experience with us. Our dedicated Talent Team will work hard to ensure you are fully informed at all stages and you are really excited by this opportunity to do meaningful work in the education space. Equal opportunities QS Quacquarelli Symonds is proud to be a fair and equal organisation where everyone has the same opportunity to achieve their full potential, irrespective of their background or personal attributes. We celebrate our diversity and believe through sharing our experiences we can learn from one another, be stronger together, and enable our business to thrive. Please keep an eye on your spam / junk email folder for correspondence from BambooHR
Ernst & Young Advisory Services Sdn Bhd
Manchester, Lancashire
Senior Manager, AI & Data, Data Strategist, TC UKI Location: Manchester Other locations: Primary Location Only Date: 21 Mar 2026 Requisition ID: AI and Data Strategist Grade: Senior Manager Position Overview We are seeking a Senior Manager grade AI and Data Strategist to guide and coordinate AI transformation initiatives for clients across multiple industry sectors. This role demands a strategic business technologist who can translate AI capabilities into tangible business value while designing the organisational frameworks needed to become an AI first enterprise. Lead an engagement workstream consisting of AI consultants and architects to define comprehensive AI and data strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors Bring current global thinking and trends in the AI, Automation and Data space including within EY. Carry out in depth analysis of industry specific value chain and identify a portfolio of high impact AI use cases, to drive revenue growth, operational efficiency, and competitive differentiation Assess organisational AI and data maturity and create tailored roadmaps for transformation including business cases, operating models, organisational structure and capabilities required to deliver the strategy Direct the definition of high level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation) Lead cross functional workshops and design sessions with senior stakeholder to influence and align diverse stakeholder groups around a unified AI vision Present complex AI concepts and recommendations to senior leadership audiences Prioritise AI initiatives based on strategic value, feasibility, and organisational readiness Contribute to solution development and oversee quality of proposals for AI led transformation Provide mentorship and guidance to team members and develop reusable assets Support change management initiatives to embed AI driven and automation enabled culture across client organisations. Ensure strategies align with ethical AI principles, regulatory compliance (e.g., GDPR, AI Act), and risk mitigation frameworks. Support internal processes to approve designs and proposals that have integrity and are commercially sound Essential Qualifications STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field Demonstrated experience of delivering enterprise level AI strategies for complex or multinational organisations Expertise in at least two of the following industries: consumer products, retail, healthcare, energy, or life sciences Able to oversee the design of operating models and organisational structures for data and AI functions Able to lead the interaction with client organisations to write business or investment cases Good understanding of the latest AI/ML technologies, including generative AI, predictive analytics, computer vision, and NLP Knowledge of modern data architectures, cloud platforms, and AI infrastructure including DAMA Knowledge of AI governance frameworks, model risk management, and regulatory requirements Soft Skills Team leadership and coaching skills Communication and presentation skills. Stakeholder management skills, including facilitation and workshop design capabilities as well as the ability to influence senior stakeholders Demonstrated ability to collaborate in multi disciplinary teams (data scientists, engineers, business strategists) Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment Strategic thinking with demonstrated ability to translate complex technical concepts into business language and explain how they drive business value Preferred Criteria Experience with Big 4 consulting methodologies and framework Preferred Qualification Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies)
09/05/2026
Full time
Senior Manager, AI & Data, Data Strategist, TC UKI Location: Manchester Other locations: Primary Location Only Date: 21 Mar 2026 Requisition ID: AI and Data Strategist Grade: Senior Manager Position Overview We are seeking a Senior Manager grade AI and Data Strategist to guide and coordinate AI transformation initiatives for clients across multiple industry sectors. This role demands a strategic business technologist who can translate AI capabilities into tangible business value while designing the organisational frameworks needed to become an AI first enterprise. Lead an engagement workstream consisting of AI consultants and architects to define comprehensive AI and data strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors Bring current global thinking and trends in the AI, Automation and Data space including within EY. Carry out in depth analysis of industry specific value chain and identify a portfolio of high impact AI use cases, to drive revenue growth, operational efficiency, and competitive differentiation Assess organisational AI and data maturity and create tailored roadmaps for transformation including business cases, operating models, organisational structure and capabilities required to deliver the strategy Direct the definition of high level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation) Lead cross functional workshops and design sessions with senior stakeholder to influence and align diverse stakeholder groups around a unified AI vision Present complex AI concepts and recommendations to senior leadership audiences Prioritise AI initiatives based on strategic value, feasibility, and organisational readiness Contribute to solution development and oversee quality of proposals for AI led transformation Provide mentorship and guidance to team members and develop reusable assets Support change management initiatives to embed AI driven and automation enabled culture across client organisations. Ensure strategies align with ethical AI principles, regulatory compliance (e.g., GDPR, AI Act), and risk mitigation frameworks. Support internal processes to approve designs and proposals that have integrity and are commercially sound Essential Qualifications STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field Demonstrated experience of delivering enterprise level AI strategies for complex or multinational organisations Expertise in at least two of the following industries: consumer products, retail, healthcare, energy, or life sciences Able to oversee the design of operating models and organisational structures for data and AI functions Able to lead the interaction with client organisations to write business or investment cases Good understanding of the latest AI/ML technologies, including generative AI, predictive analytics, computer vision, and NLP Knowledge of modern data architectures, cloud platforms, and AI infrastructure including DAMA Knowledge of AI governance frameworks, model risk management, and regulatory requirements Soft Skills Team leadership and coaching skills Communication and presentation skills. Stakeholder management skills, including facilitation and workshop design capabilities as well as the ability to influence senior stakeholders Demonstrated ability to collaborate in multi disciplinary teams (data scientists, engineers, business strategists) Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment Strategic thinking with demonstrated ability to translate complex technical concepts into business language and explain how they drive business value Preferred Criteria Experience with Big 4 consulting methodologies and framework Preferred Qualification Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies)
Senior Data Scientist Full-time: Hybrid Manchester or London £70,000 - £90,000 per annum As a Senior Data Scientist Lunio you will help build new capabilities that expand our value proposition and create new ways for customers to understand, detect, and act on ad waste. You will sit at the intersection of data science, AI, and product development. You will help identify opportunities to extend our core wasteful traffic prevention product, rapidly prototype new capabilities, and turn promising concepts into production-ready solutions in close collaboration with Engineering and Product. The role has a strong 0-to-1 component and will involve developing AI systems, and leveraging LLMs, and/or advanced machine learning techniques where they can create meaningful value for our customers and strengthen our product offering. Key Responsibilities R&D: Own the discovery and development of new capabilities that expand Lunio's core wasteful traffic prevention product and strengthen our value proposition for customers, from early prototyping through to production-ready MVP. Experimentation: Translate customer and product needs into concrete hypotheses, experiments, and POCs, refining solutions as they develop. Concept-to-Launch Delivery: Work closely with Engineering and Product to take new capabilities from concept through to launch, ensuring successful prototypes are translated into robust, maintainable, production-ready solutions. Pragmatic ML & AI Application: Apply machine learning and AI techniques pragmatically, focusing on areas where they deliver clear customer or product value, and carefully balancing implementation effort against expected impact. What makes a great Senior Data Scientist at Lunio? Strong experience designing, deploying, and operating production-grade ML systems, with a proven ability to rapidly prototype ideas and translate them into scalable, production-ready solutions. Deep proficiency in Python and SQL, with strong experience working with large-scale datasets in cloud environments. Hands on experience with LLM based systems and applied AI workflows, including RAG, agentic architectures, and other NLP techniques. Strong product and systems thinking, with an eye for scalability, reliability, and explainability. Practical and pragmatic - able to balance technical depth with speed and business impact. You'll really thrive in this role if you have: Proven experience with AWS, including SageMaker, Bedrock, Lambda, S3, and Redshift. Familiarity with MLOps best practices: evaluation, deployment, monitoring, and iterative improvement. Experience in Adtec, Media, or fraud detection.
09/05/2026
Full time
Senior Data Scientist Full-time: Hybrid Manchester or London £70,000 - £90,000 per annum As a Senior Data Scientist Lunio you will help build new capabilities that expand our value proposition and create new ways for customers to understand, detect, and act on ad waste. You will sit at the intersection of data science, AI, and product development. You will help identify opportunities to extend our core wasteful traffic prevention product, rapidly prototype new capabilities, and turn promising concepts into production-ready solutions in close collaboration with Engineering and Product. The role has a strong 0-to-1 component and will involve developing AI systems, and leveraging LLMs, and/or advanced machine learning techniques where they can create meaningful value for our customers and strengthen our product offering. Key Responsibilities R&D: Own the discovery and development of new capabilities that expand Lunio's core wasteful traffic prevention product and strengthen our value proposition for customers, from early prototyping through to production-ready MVP. Experimentation: Translate customer and product needs into concrete hypotheses, experiments, and POCs, refining solutions as they develop. Concept-to-Launch Delivery: Work closely with Engineering and Product to take new capabilities from concept through to launch, ensuring successful prototypes are translated into robust, maintainable, production-ready solutions. Pragmatic ML & AI Application: Apply machine learning and AI techniques pragmatically, focusing on areas where they deliver clear customer or product value, and carefully balancing implementation effort against expected impact. What makes a great Senior Data Scientist at Lunio? Strong experience designing, deploying, and operating production-grade ML systems, with a proven ability to rapidly prototype ideas and translate them into scalable, production-ready solutions. Deep proficiency in Python and SQL, with strong experience working with large-scale datasets in cloud environments. Hands on experience with LLM based systems and applied AI workflows, including RAG, agentic architectures, and other NLP techniques. Strong product and systems thinking, with an eye for scalability, reliability, and explainability. Practical and pragmatic - able to balance technical depth with speed and business impact. You'll really thrive in this role if you have: Proven experience with AWS, including SageMaker, Bedrock, Lambda, S3, and Redshift. Familiarity with MLOps best practices: evaluation, deployment, monitoring, and iterative improvement. Experience in Adtec, Media, or fraud detection.
Senior Machine Learning ScientistSkip to main contentThis website uses cookies to improve your web experience. By using the site, you agree to the use of cookies. Privacy Policy Machine Learning Scientist page is loaded Senior Machine Learning ScientistApplyremote type: Fully Flexiblelocations: Remote, United Kingdom: Remote, Ireland: Remote, Denmark: Remote, Germany: Remote, Polandtime type: Full timeposted on: Posted 30+ Days Agojob requisition id: R31872 Job DescriptionThe Agentic Tribe is revolutionizing the chatbot and voice assistance landscape with Gen3, a cutting-edge AI Agent system that's pushing the boundaries of conversational AI. Gen3 is not your typical chatbot; it's a goal-oriented, dynamic, and truly conversational system capable of reasoning, planning, and adapting to user needs in real-time. By leveraging a multi-agent architecture and advanced language models, Gen3 delivers personalized and engaging user experiences, moving beyond scripted interactions to handle complex tasks and "off-script" inquiries with ease.We are delighted to be hiring a Senior Machine Learning Scientist for the AI Agent product at Zendesk. You will own a designated product area and revolutionize how our customers experience our products. This is an exciting opportunity to bridge the gap between cutting-edge ML research and real-world impact. You'll have the freedom to shape the product roadmap, discover innovative ML applications, and collaborate with a talented cross-functional team. Key responsibilities: You'll be part of a team responsible for designing and testing novel AI solutions for real business problems You'll own the full research projects end-to-end from understanding business requirements to design, implementation, experimentation and reporting You'll discuss your and others ideas in the research team regularly and provide peer review for your colleagues work You'll keep up with the NLP and ML fields and literature and introduce new concepts discovered as potential solutions to our business problems You'll work closely with machine learning engineers helping them implement your designs into our production system You'll use suitable tools and technologies for rapid implementation and quickly testing your hypotheses while keeping in mind the requirements of future production implementation You'll collaborate with Product managers and other non technical stakeholders to discover product roadmap. Who you are: Degree in Computer Science, Machine Learning, Statistics, Engineering, Mathematics, etc. Proven record of Machine Learning or NLP research, ideally in industry. Knowledge of building deep learning neural network architectures, ideally with focus on NLP. Ability to implement ideas from research literature into proof-of-concept models. Practical approach for researching machine learning solutions to business problems. Huge bonus if you have experience with conversational AI. A positive, pro-active team player who is passionate about their craft, is keen to take part in product discussions and cares about helping the team deliver. Great communication skill and fluency in English. How do we measure success in this role? How well your work aligns with the overall product roadmap and strategic goals. Effectiveness in collaborating with product managers, engineers, designers, and other stakeholders Discovery and Ideation - ability to identify new opportunities within the product area, as well as their ability to prioritize and champion these ideas. About ZendeskZendesk builds software for better customer relationships. It empowers organizations to improve customer engagement and better understand their customers. Zendesk products are easy to use and implement. They give organizations the flexibility to move quickly, focus on innovation, and scale with their growth.More than 100,000 paid customer accounts in over 150 countries and territories use Zendesk products. Based in San Francisco, Zendesk has operations in the United States, Europe, Asia, Australia, and South America.Interested in knowing what we do in the community? Check out the Zendesk Neighbor Foundation to learn more about how we engage with, and provide support to, our local communities. Zendesk is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.By submitting your application, you agree that Zendesk may collect your personal data for recruiting, global organization planning, and related purposes. Zendesk's Candidate Privacy Notice explains what personal information Zendesk may process, where Zendesk may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Zendesk's use of your personal information.: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager. The intelligent heart of customer experience Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.Zendesk is an equal opportunity employer, and we're proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.
09/05/2026
Full time
Senior Machine Learning ScientistSkip to main contentThis website uses cookies to improve your web experience. By using the site, you agree to the use of cookies. Privacy Policy Machine Learning Scientist page is loaded Senior Machine Learning ScientistApplyremote type: Fully Flexiblelocations: Remote, United Kingdom: Remote, Ireland: Remote, Denmark: Remote, Germany: Remote, Polandtime type: Full timeposted on: Posted 30+ Days Agojob requisition id: R31872 Job DescriptionThe Agentic Tribe is revolutionizing the chatbot and voice assistance landscape with Gen3, a cutting-edge AI Agent system that's pushing the boundaries of conversational AI. Gen3 is not your typical chatbot; it's a goal-oriented, dynamic, and truly conversational system capable of reasoning, planning, and adapting to user needs in real-time. By leveraging a multi-agent architecture and advanced language models, Gen3 delivers personalized and engaging user experiences, moving beyond scripted interactions to handle complex tasks and "off-script" inquiries with ease.We are delighted to be hiring a Senior Machine Learning Scientist for the AI Agent product at Zendesk. You will own a designated product area and revolutionize how our customers experience our products. This is an exciting opportunity to bridge the gap between cutting-edge ML research and real-world impact. You'll have the freedom to shape the product roadmap, discover innovative ML applications, and collaborate with a talented cross-functional team. Key responsibilities: You'll be part of a team responsible for designing and testing novel AI solutions for real business problems You'll own the full research projects end-to-end from understanding business requirements to design, implementation, experimentation and reporting You'll discuss your and others ideas in the research team regularly and provide peer review for your colleagues work You'll keep up with the NLP and ML fields and literature and introduce new concepts discovered as potential solutions to our business problems You'll work closely with machine learning engineers helping them implement your designs into our production system You'll use suitable tools and technologies for rapid implementation and quickly testing your hypotheses while keeping in mind the requirements of future production implementation You'll collaborate with Product managers and other non technical stakeholders to discover product roadmap. Who you are: Degree in Computer Science, Machine Learning, Statistics, Engineering, Mathematics, etc. Proven record of Machine Learning or NLP research, ideally in industry. Knowledge of building deep learning neural network architectures, ideally with focus on NLP. Ability to implement ideas from research literature into proof-of-concept models. Practical approach for researching machine learning solutions to business problems. Huge bonus if you have experience with conversational AI. A positive, pro-active team player who is passionate about their craft, is keen to take part in product discussions and cares about helping the team deliver. Great communication skill and fluency in English. How do we measure success in this role? How well your work aligns with the overall product roadmap and strategic goals. Effectiveness in collaborating with product managers, engineers, designers, and other stakeholders Discovery and Ideation - ability to identify new opportunities within the product area, as well as their ability to prioritize and champion these ideas. About ZendeskZendesk builds software for better customer relationships. It empowers organizations to improve customer engagement and better understand their customers. Zendesk products are easy to use and implement. They give organizations the flexibility to move quickly, focus on innovation, and scale with their growth.More than 100,000 paid customer accounts in over 150 countries and territories use Zendesk products. Based in San Francisco, Zendesk has operations in the United States, Europe, Asia, Australia, and South America.Interested in knowing what we do in the community? Check out the Zendesk Neighbor Foundation to learn more about how we engage with, and provide support to, our local communities. Zendesk is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.By submitting your application, you agree that Zendesk may collect your personal data for recruiting, global organization planning, and related purposes. Zendesk's Candidate Privacy Notice explains what personal information Zendesk may process, where Zendesk may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Zendesk's use of your personal information.: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager. The intelligent heart of customer experience Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.Zendesk is an equal opportunity employer, and we're proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.
Senior AI Engineer Location: UK Remote (UK-based candidates only) Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior AI Engineer to help design, build, and scale production-grade AI systems and data platforms used across enterprise environments. This is an opportunity to join a collaborative engineering function focused on building robust AI pipelines, transformation APIs, and scalable backend services that support advanced analytics and machine learning products. The Role As a Senior AI Engineer, you will work closely with Data Scientists and cross-functional technical teams to productionise machine learning models and develop high-performance AI services. You'll contribute across the full engineering lifecycle-from system design and integration through to deployment, monitoring, and optimisation within cloud-native environments. Key Responsibilities Design and maintain scalable AI pipelines and processing workflows Develop and optimise RESTful APIs and microservices for AI services Build cloud-native backend systems aligned with best engineering practices Collaborate with Data Scientists to productionise ML models Improve system performance, observability, reliability, and security Contribute to CI/CD pipelines, automated testing, and infrastructure automation Support integration and interoperability across enterprise platforms Translate technical requirements into scalable, maintainable solutions Required Skills & Experience Strong experience in backend, data, or ML engineering Advanced Python skills and experience with FastAPI, Flask, or Django Experience building scalable APIs and microservices Strong SQL and relational database knowledge (PostgreSQL preferred) Experience with AWS and/or Azure cloud environments Understanding of distributed systems and scalable architectures Exposure to machine learning, NLP, or AI-driven systems Experience with CI/CD pipelines, testing, and containerisation Strong problem-solving and communication skills Technology Stack Python, SQL, FastAPI, PyTorch, Transformers/LLMs, Terraform, Databricks, Kubernetes, AWS, Azure, PostgreSQL, Kafka, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote working within the UK Opportunity to work on cutting-edge AI and machine learning systems Collaborative engineering environment Exposure to modern cloud and AI technologies Strong career growth opportunities within a growing AI function
08/05/2026
Full time
Senior AI Engineer Location: UK Remote (UK-based candidates only) Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior AI Engineer to help design, build, and scale production-grade AI systems and data platforms used across enterprise environments. This is an opportunity to join a collaborative engineering function focused on building robust AI pipelines, transformation APIs, and scalable backend services that support advanced analytics and machine learning products. The Role As a Senior AI Engineer, you will work closely with Data Scientists and cross-functional technical teams to productionise machine learning models and develop high-performance AI services. You'll contribute across the full engineering lifecycle-from system design and integration through to deployment, monitoring, and optimisation within cloud-native environments. Key Responsibilities Design and maintain scalable AI pipelines and processing workflows Develop and optimise RESTful APIs and microservices for AI services Build cloud-native backend systems aligned with best engineering practices Collaborate with Data Scientists to productionise ML models Improve system performance, observability, reliability, and security Contribute to CI/CD pipelines, automated testing, and infrastructure automation Support integration and interoperability across enterprise platforms Translate technical requirements into scalable, maintainable solutions Required Skills & Experience Strong experience in backend, data, or ML engineering Advanced Python skills and experience with FastAPI, Flask, or Django Experience building scalable APIs and microservices Strong SQL and relational database knowledge (PostgreSQL preferred) Experience with AWS and/or Azure cloud environments Understanding of distributed systems and scalable architectures Exposure to machine learning, NLP, or AI-driven systems Experience with CI/CD pipelines, testing, and containerisation Strong problem-solving and communication skills Technology Stack Python, SQL, FastAPI, PyTorch, Transformers/LLMs, Terraform, Databricks, Kubernetes, AWS, Azure, PostgreSQL, Kafka, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote working within the UK Opportunity to work on cutting-edge AI and machine learning systems Collaborative engineering environment Exposure to modern cloud and AI technologies Strong career growth opportunities within a growing AI function
Senior Data Scientist Location: UK Remote Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior Data Scientist to help develop advanced AI and analytics capabilities that power large-scale intelligence and data-driven products. This is an opportunity to work within a research-focused environment, building scalable machine learning models and AI systems across areas such as NLP, recommendation systems, predictive analytics, and workforce intelligence. The Role As a Senior Data Scientist, you will contribute to the development and optimisation of advanced machine learning and AI models while maintaining high standards of experimentation, validation, and responsible AI practices. You'll work closely with AI Engineers, Product teams, and cross-functional stakeholders to deliver scalable, production-ready solutions that drive measurable business value. Key Responsibilities Develop and refine machine learning models across NLP, classification, prediction, optimisation, and recommendation systems Apply generative AI and NLP techniques to improve modelling and data extraction capabilities Perform large-scale data analysis and transformation using SQL and cloud-native technologies Design and execute experimentation, benchmarking, and model validation frameworks Translate business and product challenges into scalable, data-driven solutions Collaborate with Engineering teams to productionise models and APIs Maintain best practices across reproducibility, explainability, and responsible AI Contribute to the development of knowledge-based and ontology-driven systems Required Skills & Experience Strong commercial experience in Data Science, Machine Learning, or Advanced Analytics Strong Python and SQL skills Experience building models across NLP, prediction, optimisation, classification, or recommender systems Familiarity with embeddings, LLMs, and prompt engineering Experience working within AWS and/or Azure cloud environments Understanding of experimentation design, model validation, and reproducibility best practices Experience supporting model deployment into production environments Strong analytical and problem-solving skills Excellent communication and stakeholder engagement skills Technology Stack Python, SQL, Databricks, PyTorch, Transformers/LLMs, Prompt Engineering, Pandas, Spark, AWS, Azure, PostgreSQL, FastAPI, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote UK-based role Opportunity to work on cutting-edge AI and machine learning products Collaborative, research-driven environment Exposure to modern AI, NLP, and cloud technologies Strong career development opportunities within a growing AI function
08/05/2026
Full time
Senior Data Scientist Location: UK Remote Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior Data Scientist to help develop advanced AI and analytics capabilities that power large-scale intelligence and data-driven products. This is an opportunity to work within a research-focused environment, building scalable machine learning models and AI systems across areas such as NLP, recommendation systems, predictive analytics, and workforce intelligence. The Role As a Senior Data Scientist, you will contribute to the development and optimisation of advanced machine learning and AI models while maintaining high standards of experimentation, validation, and responsible AI practices. You'll work closely with AI Engineers, Product teams, and cross-functional stakeholders to deliver scalable, production-ready solutions that drive measurable business value. Key Responsibilities Develop and refine machine learning models across NLP, classification, prediction, optimisation, and recommendation systems Apply generative AI and NLP techniques to improve modelling and data extraction capabilities Perform large-scale data analysis and transformation using SQL and cloud-native technologies Design and execute experimentation, benchmarking, and model validation frameworks Translate business and product challenges into scalable, data-driven solutions Collaborate with Engineering teams to productionise models and APIs Maintain best practices across reproducibility, explainability, and responsible AI Contribute to the development of knowledge-based and ontology-driven systems Required Skills & Experience Strong commercial experience in Data Science, Machine Learning, or Advanced Analytics Strong Python and SQL skills Experience building models across NLP, prediction, optimisation, classification, or recommender systems Familiarity with embeddings, LLMs, and prompt engineering Experience working within AWS and/or Azure cloud environments Understanding of experimentation design, model validation, and reproducibility best practices Experience supporting model deployment into production environments Strong analytical and problem-solving skills Excellent communication and stakeholder engagement skills Technology Stack Python, SQL, Databricks, PyTorch, Transformers/LLMs, Prompt Engineering, Pandas, Spark, AWS, Azure, PostgreSQL, FastAPI, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote UK-based role Opportunity to work on cutting-edge AI and machine learning products Collaborative, research-driven environment Exposure to modern AI, NLP, and cloud technologies Strong career development opportunities within a growing AI function
Senior Data Scientist AI & Intelligent Products Location: Glasgow Salary : Competitive The Role Data is our superpower not just for insight, but for building intelligent, scalable products. We re looking for a Senior Data Scientist to drive commercial impact today through advanced analytics and experimentation, while leading our evolution into AI-powered products using modern Generative AI and search technologies. This is a hands-on, high-impact role at the intersection of data science, machine learning, and Generative AI engineering . You ll deliver immediate business value while helping us transition from a data-driven company into an AI-native product organisation . You ll work closely with product, commercial, and engineering teams to turn complex, text-heavy data into both actionable insights and production-grade AI solutions . What You ll Be Doing Today: Driving Commercial Impact with Data Lead end-to-end data science projects that deliver measurable business outcomes Work hands-on with data analysis, modelling, and experimentation Translate business challenges into analytical solutions and clear insights Partner with stakeholders across commercial, product, and engineering teams Embed data into decision-making across the organisation Mentor and support a small team of Data Scientists Evolving the Role: Building AI-Powered Capabilities Design and develop AI-powered features such as assistants, copilots, and intelligent workflows Build and deploy Retrieval-Augmented Generation (RAG) pipelines Apply NLP techniques to structure and unlock value from unstructured text Develop semantic and hybrid search solutions (vector + keyword) Work with LLM platforms (e.g. OpenAI, Claude, Bedrock) to create production-ready applications Future State: Shaping Intelligent Products & Strategy Help define how AI becomes embedded in our core product offering Influence product strategy through data and AI capabilities Contribute to scalable architecture for AI systems (search, retrieval, LLM orchestration) Establish best practices for experimentation, evaluation, and model performance Elevate the organisation from analytics-led to decision intelligence and AI-driven automation What We re Looking For Core Data Science Expertise Strong experience as a Data Scientist in a SaaS or data-rich environment Proven track record of delivering commercially impactful solutions Expertise in experimentation, statistical analysis, and modelling Strong SQL and data manipulation skills Experience with Elastic / Elasticsearch and observability tooling Engineering & AI Capability Strong Python skills and experience building data/ML pipelines Experience developing APIs or production-grade systems Hands-on exposure to LLMs and prompt engineering Understanding of RAG architectures and NLP pipelines Familiarity with search technologies (Elasticsearch, vector databases, or similar) Collaboration & Influence Excellent stakeholder management and communication skills Ability to translate complex technical work into business value Comfortable working cross-functionally across product, engineering, and commercial teams Leadership & Growth Experience mentoring or supporting junior team members Interest in shaping standards, tools, and ways of working Motivated by building both immediate impact and long-term capability Docker, Kubernetes, or scalable deployment environments Background in building AI-powered or search-driven products Why Join Us? Immediate impact: Deliver high-value data science work from day one Future-facing: Help build real AI products not just models in notebooks Ownership: Shape both what we build and how we build it Growth: Evolve into a key leader in AI and data strategy Environment: Fast-moving, collaborative SME where data and AI are core to success To Apply If you feel you are a suitable candidate and would like to work for BiP Solutions, please do not hesitate to apply.
07/05/2026
Full time
Senior Data Scientist AI & Intelligent Products Location: Glasgow Salary : Competitive The Role Data is our superpower not just for insight, but for building intelligent, scalable products. We re looking for a Senior Data Scientist to drive commercial impact today through advanced analytics and experimentation, while leading our evolution into AI-powered products using modern Generative AI and search technologies. This is a hands-on, high-impact role at the intersection of data science, machine learning, and Generative AI engineering . You ll deliver immediate business value while helping us transition from a data-driven company into an AI-native product organisation . You ll work closely with product, commercial, and engineering teams to turn complex, text-heavy data into both actionable insights and production-grade AI solutions . What You ll Be Doing Today: Driving Commercial Impact with Data Lead end-to-end data science projects that deliver measurable business outcomes Work hands-on with data analysis, modelling, and experimentation Translate business challenges into analytical solutions and clear insights Partner with stakeholders across commercial, product, and engineering teams Embed data into decision-making across the organisation Mentor and support a small team of Data Scientists Evolving the Role: Building AI-Powered Capabilities Design and develop AI-powered features such as assistants, copilots, and intelligent workflows Build and deploy Retrieval-Augmented Generation (RAG) pipelines Apply NLP techniques to structure and unlock value from unstructured text Develop semantic and hybrid search solutions (vector + keyword) Work with LLM platforms (e.g. OpenAI, Claude, Bedrock) to create production-ready applications Future State: Shaping Intelligent Products & Strategy Help define how AI becomes embedded in our core product offering Influence product strategy through data and AI capabilities Contribute to scalable architecture for AI systems (search, retrieval, LLM orchestration) Establish best practices for experimentation, evaluation, and model performance Elevate the organisation from analytics-led to decision intelligence and AI-driven automation What We re Looking For Core Data Science Expertise Strong experience as a Data Scientist in a SaaS or data-rich environment Proven track record of delivering commercially impactful solutions Expertise in experimentation, statistical analysis, and modelling Strong SQL and data manipulation skills Experience with Elastic / Elasticsearch and observability tooling Engineering & AI Capability Strong Python skills and experience building data/ML pipelines Experience developing APIs or production-grade systems Hands-on exposure to LLMs and prompt engineering Understanding of RAG architectures and NLP pipelines Familiarity with search technologies (Elasticsearch, vector databases, or similar) Collaboration & Influence Excellent stakeholder management and communication skills Ability to translate complex technical work into business value Comfortable working cross-functionally across product, engineering, and commercial teams Leadership & Growth Experience mentoring or supporting junior team members Interest in shaping standards, tools, and ways of working Motivated by building both immediate impact and long-term capability Docker, Kubernetes, or scalable deployment environments Background in building AI-powered or search-driven products Why Join Us? Immediate impact: Deliver high-value data science work from day one Future-facing: Help build real AI products not just models in notebooks Ownership: Shape both what we build and how we build it Growth: Evolve into a key leader in AI and data strategy Environment: Fast-moving, collaborative SME where data and AI are core to success To Apply If you feel you are a suitable candidate and would like to work for BiP Solutions, please do not hesitate to apply.
Alexander Mann Solutions - Public Sector Resourcing
On behalf of Network Rail, we are looking for a Senior Data Scientist (AI) for a 12 month contract based Hybrid in London or York. About the role: This role will play a key part in a new, early-stage AI programme within Network Rail, applying advanced analytics and machine learning to improve operational performance and deliver innovative, real-world AI solutions. You will build machine learning models and AI-driven products, including a new customer-facing AI assistant currently in testing, working with complex and fragmented datasets from across the rail ecosystem. Working closely with senior stakeholders, you will translate data into actionable insights that drive measurable improvements in operations, customer experience and strategic decision making. You will have the opportunity to shape and influence how AI is adopted across the organisation. As a Senior Data Scientist (AI), your main responsibilities will be to: . Design and build advanced machine learning models to analyse complex operational, infrastructure and performance datasets. . Work with large, fragmented datasets from multiple sources, assessing data quality and shaping datasets for modelling and AI use cases. . Contribute to the development of AI-driven solutions, including customer-facing tools and operational optimisation models. . Apply predictive analytics and advanced modelling techniques to improve planning, maintenance strategies, asset optimisation and customer outcomes. . Collaborate with data and engineering teams to evolve data structures and support scalable AI capability. . Continuously improve data science workflows, tooling and processes, including automation and experimentation. . Engage with senior stakeholders across the organisation, challenging thinking where needed and translating complex insights into clear, actionable outcomes. . Support the prioritisation and governance of AI initiatives, ensuring alignment with business objectives and responsible AI practices. . Communicate technical findings clearly through presentations, dashboards and reports. Essential: . Proven experience in data science, machine learning and predictive modelling in real-world environments. . Strong programming skills in Python (or R), with experience using libraries such as Pandas and Scikit-learn, along with SQL and data visualisation tools. . Proven ability to work with complex or imperfect datasets and deliver practical solutions. . Strong stakeholder engagement skills, with the ability to influence and communicate at senior level. . Experience delivering data-driven solutions from concept through to implementation. . Excellent problem-solving abilities and a collaborative mindset. Desirable: . A degree (or equivalent qualification) in a STEM discipline (Science, Technology, Engineering, Mathematics) or a closely related field such as Data Science, Computer Science, or Statistics. . Familiarity with the railway sector and its operational challenges is a plus. . Experience working on AI-driven products (eg chatbots, NLP, or customer-facing AI solutions). Please be aware that this role can only be worked within the UK and not Overseas. Network Rail is an equal opportunity employer and values diversity. They welcome applications from everyone. Disability Confident As a member of the Disability Confident Scheme, Network Rail guarantees to interview all candidates who have a disability and who meet all the essential criteria for the vacancy. In cases where we have a high volume of candidates who have a disability who meet all the essential criteria, we will interview the best candidates from within that group. This scheme encourages candidates with a disability and/or neurodivergence to apply. In exceptional circumstances, we may also need to apply the desirable criteria in our shortlisting process which may include holding active security clearance. Armed Forces Covenant Network Rail guarantees to interview veterans or spouses/partners of military personnel who meet all the essential criteria for the vacancy. In cases where we have a high volume of ex-military candidates/military spouses or partners, who meet all of the essential criteria, we will interview the best candidates from within that group. In exceptional circumstances, we may also need to apply the desirable criteria in our shortlisting process which may include holding active security clearance. In applying for this role, you acknowledge the following "this role falls in scope of the Off Payroll Working in the Public Sector legislation. Any rates of payment quoted will reflect the gross rate per day for the assignment and will be subject to appropriate taxes and statutory costs. As such the payment to the intermediary and your income resulting from this contract will be different".
07/05/2026
Contractor
On behalf of Network Rail, we are looking for a Senior Data Scientist (AI) for a 12 month contract based Hybrid in London or York. About the role: This role will play a key part in a new, early-stage AI programme within Network Rail, applying advanced analytics and machine learning to improve operational performance and deliver innovative, real-world AI solutions. You will build machine learning models and AI-driven products, including a new customer-facing AI assistant currently in testing, working with complex and fragmented datasets from across the rail ecosystem. Working closely with senior stakeholders, you will translate data into actionable insights that drive measurable improvements in operations, customer experience and strategic decision making. You will have the opportunity to shape and influence how AI is adopted across the organisation. As a Senior Data Scientist (AI), your main responsibilities will be to: . Design and build advanced machine learning models to analyse complex operational, infrastructure and performance datasets. . Work with large, fragmented datasets from multiple sources, assessing data quality and shaping datasets for modelling and AI use cases. . Contribute to the development of AI-driven solutions, including customer-facing tools and operational optimisation models. . Apply predictive analytics and advanced modelling techniques to improve planning, maintenance strategies, asset optimisation and customer outcomes. . Collaborate with data and engineering teams to evolve data structures and support scalable AI capability. . Continuously improve data science workflows, tooling and processes, including automation and experimentation. . Engage with senior stakeholders across the organisation, challenging thinking where needed and translating complex insights into clear, actionable outcomes. . Support the prioritisation and governance of AI initiatives, ensuring alignment with business objectives and responsible AI practices. . Communicate technical findings clearly through presentations, dashboards and reports. Essential: . Proven experience in data science, machine learning and predictive modelling in real-world environments. . Strong programming skills in Python (or R), with experience using libraries such as Pandas and Scikit-learn, along with SQL and data visualisation tools. . Proven ability to work with complex or imperfect datasets and deliver practical solutions. . Strong stakeholder engagement skills, with the ability to influence and communicate at senior level. . Experience delivering data-driven solutions from concept through to implementation. . Excellent problem-solving abilities and a collaborative mindset. Desirable: . A degree (or equivalent qualification) in a STEM discipline (Science, Technology, Engineering, Mathematics) or a closely related field such as Data Science, Computer Science, or Statistics. . Familiarity with the railway sector and its operational challenges is a plus. . Experience working on AI-driven products (eg chatbots, NLP, or customer-facing AI solutions). Please be aware that this role can only be worked within the UK and not Overseas. Network Rail is an equal opportunity employer and values diversity. They welcome applications from everyone. Disability Confident As a member of the Disability Confident Scheme, Network Rail guarantees to interview all candidates who have a disability and who meet all the essential criteria for the vacancy. In cases where we have a high volume of candidates who have a disability who meet all the essential criteria, we will interview the best candidates from within that group. This scheme encourages candidates with a disability and/or neurodivergence to apply. In exceptional circumstances, we may also need to apply the desirable criteria in our shortlisting process which may include holding active security clearance. Armed Forces Covenant Network Rail guarantees to interview veterans or spouses/partners of military personnel who meet all the essential criteria for the vacancy. In cases where we have a high volume of ex-military candidates/military spouses or partners, who meet all of the essential criteria, we will interview the best candidates from within that group. In exceptional circumstances, we may also need to apply the desirable criteria in our shortlisting process which may include holding active security clearance. In applying for this role, you acknowledge the following "this role falls in scope of the Off Payroll Working in the Public Sector legislation. Any rates of payment quoted will reflect the gross rate per day for the assignment and will be subject to appropriate taxes and statutory costs. As such the payment to the intermediary and your income resulting from this contract will be different".
JPMorgan Chase & Co. is seeking a Vice President Data Scientist for their Asset Management Investment Platform. You will utilize innovative NLP and LLM methodologies to enhance investment processes, improve client experiences, and streamline operations. Responsibilities include developing AI solutions, evaluating model performance, and collaborating with engineering teams. Ideal candidates will have an advanced degree in Data Science or related fields and proven experience in NLP. A solid understanding of financial markets is crucial.
07/05/2026
Full time
JPMorgan Chase & Co. is seeking a Vice President Data Scientist for their Asset Management Investment Platform. You will utilize innovative NLP and LLM methodologies to enhance investment processes, improve client experiences, and streamline operations. Responsibilities include developing AI solutions, evaluating model performance, and collaborating with engineering teams. Ideal candidates will have an advanced degree in Data Science or related fields and proven experience in NLP. A solid understanding of financial markets is crucial.
Hiscox SA is seeking a Data Scientist for a permanent position based in Greater London. You will play a key role in applying innovative data-driven decision-making techniques and developing analytics solutions. Responsibilities include leveraging industry standards, creating predictive models, and collaborating with cross-functional teams to enhance analytics practice. Ideal candidates will have a degree in STEM, experience in data science, and strong programming skills in Python, R, or SQL. Enjoy a unique company culture and benefits that support well-being.
07/05/2026
Full time
Hiscox SA is seeking a Data Scientist for a permanent position based in Greater London. You will play a key role in applying innovative data-driven decision-making techniques and developing analytics solutions. Responsibilities include leveraging industry standards, creating predictive models, and collaborating with cross-functional teams to enhance analytics practice. Ideal candidates will have a degree in STEM, experience in data science, and strong programming skills in Python, R, or SQL. Enjoy a unique company culture and benefits that support well-being.
.Senior Principal Data Scientist page is loaded Senior Principal Data Scientistlocations: UK - London (London Wall): Londontime type: Full timeposted on: Posted Todayjob requisition id: R107535 Senior Principal Data Scientist About the Business At Cirium our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions and many more accelerate their own digital transformation. You can learn more about Cirium About the Team Propulsion Labs is Cirium's innovation group, focused on solving complex, high impact problems in aviation analytics. We work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration. About the Role As a Senior Principal Data Scientist , you will contribute deep technical expertise while helping shape best practices across the data science community. This is a senior individual contributor role with strong influence through mentorship, collaboration, and technical leadership. You will work closely with partners across product, engineering, and the business to design and deliver data driven solutions.We welcome candidates from a range of backgrounds and experiences who are excited to apply advanced analytics to real world problems. Responsibilities: Technical Leadership Act as the go-to expert for state-of-the-art advanced analytics, machine learning, and generative AI. Define and evolve best practices for complex modeling and design problems, ensuring scalability, robustness, and performance. Provide thought leadership on emerging technologies and methodologies relevant to aviation analytics. Mentorship & Collaboration Mentor and coach data scientists, fostering a culture of continuous learning and technical excellence. Collaborate closely with product managers, engineers, and domain experts to align data science initiatives with business objectives. Influence strategic decisions by translating complex technical insights into actionable recommendations. Hands-On Development Lead by example through hands-on coding and model development. Design, prototype, and validate innovative solutions for high-impact problems. Partner with engineering teams to deploy models into production environments. Domain Expertise Leverage deep knowledge of aviation, travel, or related industries to inform modeling approaches and deliver customer-centric solutions. Stay ahead of industry trends impacting data-driven products. Requirements: Data Mastery Comfortable working with large, complex, real-world datasets, preferably aviation-related. Expertise in data wrangling, feature engineering, and scalable data pipelines. Depth Experience: in at least one area, with experience across several (in approximate order of relevance):Predictive modeling over tabular data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection Deployment Experience Proven track record of deploying or partnering on customer-facing production ML systems . Proficiency in Python and SQL (experience with distributed or cloud based data platforms is a plus) Ability to communicate technical ideas clearly to both technical and non technical audiences Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at WorkLearn more about the LexisNexis Risk team and how we work We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: .RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
07/05/2026
Full time
.Senior Principal Data Scientist page is loaded Senior Principal Data Scientistlocations: UK - London (London Wall): Londontime type: Full timeposted on: Posted Todayjob requisition id: R107535 Senior Principal Data Scientist About the Business At Cirium our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions and many more accelerate their own digital transformation. You can learn more about Cirium About the Team Propulsion Labs is Cirium's innovation group, focused on solving complex, high impact problems in aviation analytics. We work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration. About the Role As a Senior Principal Data Scientist , you will contribute deep technical expertise while helping shape best practices across the data science community. This is a senior individual contributor role with strong influence through mentorship, collaboration, and technical leadership. You will work closely with partners across product, engineering, and the business to design and deliver data driven solutions.We welcome candidates from a range of backgrounds and experiences who are excited to apply advanced analytics to real world problems. Responsibilities: Technical Leadership Act as the go-to expert for state-of-the-art advanced analytics, machine learning, and generative AI. Define and evolve best practices for complex modeling and design problems, ensuring scalability, robustness, and performance. Provide thought leadership on emerging technologies and methodologies relevant to aviation analytics. Mentorship & Collaboration Mentor and coach data scientists, fostering a culture of continuous learning and technical excellence. Collaborate closely with product managers, engineers, and domain experts to align data science initiatives with business objectives. Influence strategic decisions by translating complex technical insights into actionable recommendations. Hands-On Development Lead by example through hands-on coding and model development. Design, prototype, and validate innovative solutions for high-impact problems. Partner with engineering teams to deploy models into production environments. Domain Expertise Leverage deep knowledge of aviation, travel, or related industries to inform modeling approaches and deliver customer-centric solutions. Stay ahead of industry trends impacting data-driven products. Requirements: Data Mastery Comfortable working with large, complex, real-world datasets, preferably aviation-related. Expertise in data wrangling, feature engineering, and scalable data pipelines. Depth Experience: in at least one area, with experience across several (in approximate order of relevance):Predictive modeling over tabular data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection Deployment Experience Proven track record of deploying or partnering on customer-facing production ML systems . Proficiency in Python and SQL (experience with distributed or cloud based data platforms is a plus) Ability to communicate technical ideas clearly to both technical and non technical audiences Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at WorkLearn more about the LexisNexis Risk team and how we work We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: .RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
Overview Join us as an AI & Machine Learning Intern and gain exposure to building smart solutions using data-driven technologies. You will work with data scientists and engineers to explore machine learning models, natural language processing, and AI applications in real-world IT projects. Roles & Responsibilities Assist in cleaning and preparing datasets for ML projects. Support building and testing machine learning models. Research and implement algorithms for data analysis. Collaborate with developers to integrate AI features into products. Help document model performance and outcomes. Explore NLP, computer vision, and predictive analytics use cases. Learn Python libraries such as TensorFlow, Scikit-learn, and PyTorch. Assist with data visualization and reporting dashboards. Support model training, tuning, and validation. Contribute to automation of data workflows. Research emerging AI tools and applications. Help prepare presentations for AI solutions. Collaborate with analysts to provide AI-driven insights. Shadow AI engineers during real-world deployments. Assist in ethical AI practices and compliance considerations. Participate in brainstorming sessions for innovative use cases.
06/05/2026
Full time
Overview Join us as an AI & Machine Learning Intern and gain exposure to building smart solutions using data-driven technologies. You will work with data scientists and engineers to explore machine learning models, natural language processing, and AI applications in real-world IT projects. Roles & Responsibilities Assist in cleaning and preparing datasets for ML projects. Support building and testing machine learning models. Research and implement algorithms for data analysis. Collaborate with developers to integrate AI features into products. Help document model performance and outcomes. Explore NLP, computer vision, and predictive analytics use cases. Learn Python libraries such as TensorFlow, Scikit-learn, and PyTorch. Assist with data visualization and reporting dashboards. Support model training, tuning, and validation. Contribute to automation of data workflows. Research emerging AI tools and applications. Help prepare presentations for AI solutions. Collaborate with analysts to provide AI-driven insights. Shadow AI engineers during real-world deployments. Assist in ethical AI practices and compliance considerations. Participate in brainstorming sessions for innovative use cases.
Senior Data Scientist Location: London (Hybrid) | Practice Area : Data & Analytics | Type: Permanent Shape intelligent solutions. Lead with insight. Drive data innovation. The Role We are looking for a Senior Data Scientist to join Capco's growing UK Data Practice. You will play a leading role in designing and implementing cutting-edge data science solutions across financial services. This is an opportunity to build intelligent systems that drive commercial and customer outcomes - while mentoring others and collaborating in a dynamic, multi-disciplinary environment. What You'll Do Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments Develop and prototype ML models to solve complex business challenges using modern techniques and tooling Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables Guide and coach data science pods, supporting skill development and solution design Act as a subject matter expert on ML architecture, model calibration and productionisation What We're Looking For Hands-on experience building and deploying data science solutions in Python and related ML libraries Strong background in applied machine learning, model development and data engineering Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, Redshift Demonstrated ability to lead cross-functional teams and mentor junior practitioners Ability to communicate complex technical concepts clearly to non-technical audiences Bonus Points For Participation in Kaggle or other data science competitions Experience with MLOps practices (CI/CD, model monitoring, DevOps integration) Familiarity with advanced NLP frameworks such as spaCy or Transformers MSc or PhD in a numerate discipline Financial services or banking experience Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous learning, training, and industry certifications Be part of a team shaping the future of digital financial services Help shape the future of digital transformation across FS & Energy. We offer a competitive, people-first benefits package designed to support every aspect of your life: Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. Mental Health: Easy access to CareFirst, Unmind, Aviva consultations and in-house first aiders. Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement. Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick - workshops, certifications, E-learning - your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development. Healthcare Access: Convenient online GP services. Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work and dental insurance. Inclusion at Capco We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.
06/05/2026
Full time
Senior Data Scientist Location: London (Hybrid) | Practice Area : Data & Analytics | Type: Permanent Shape intelligent solutions. Lead with insight. Drive data innovation. The Role We are looking for a Senior Data Scientist to join Capco's growing UK Data Practice. You will play a leading role in designing and implementing cutting-edge data science solutions across financial services. This is an opportunity to build intelligent systems that drive commercial and customer outcomes - while mentoring others and collaborating in a dynamic, multi-disciplinary environment. What You'll Do Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments Develop and prototype ML models to solve complex business challenges using modern techniques and tooling Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables Guide and coach data science pods, supporting skill development and solution design Act as a subject matter expert on ML architecture, model calibration and productionisation What We're Looking For Hands-on experience building and deploying data science solutions in Python and related ML libraries Strong background in applied machine learning, model development and data engineering Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, Redshift Demonstrated ability to lead cross-functional teams and mentor junior practitioners Ability to communicate complex technical concepts clearly to non-technical audiences Bonus Points For Participation in Kaggle or other data science competitions Experience with MLOps practices (CI/CD, model monitoring, DevOps integration) Familiarity with advanced NLP frameworks such as spaCy or Transformers MSc or PhD in a numerate discipline Financial services or banking experience Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous learning, training, and industry certifications Be part of a team shaping the future of digital financial services Help shape the future of digital transformation across FS & Energy. We offer a competitive, people-first benefits package designed to support every aspect of your life: Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. Mental Health: Easy access to CareFirst, Unmind, Aviva consultations and in-house first aiders. Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement. Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick - workshops, certifications, E-learning - your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development. Healthcare Access: Convenient online GP services. Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work and dental insurance. Inclusion at Capco We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.
Machine Learning Engineer - Contract Location: Nottingham, UK (Hybrid) Salary: £500 £600 p/d (depending on experience) About the Role We are seeking a skilled and motivated Machine Learning Engineer to join our growing team in Nottingham. You will be responsible for designing, building, and deploying scalable machine learning models that drive data-driven decision-making across the business. This role bridges the gap between data science and software engineering, turning prototypes into production-ready systems. Key Responsibilities Design, develop, and deploy machine learning models and pipelines in production environments Collaborate with data scientists, software engineers, and stakeholders to translate business requirements into ML solutions Optimize model performance, scalability, and reliability Build and maintain data pipelines and feature engineering workflows Monitor and retrain models to ensure continued performance over time Implement best practices for version control, testing, and CI/CD in ML systems Stay up to date with the latest advancements in machine learning and AI technologies Required Skills & Experience Strong programming skills in Python (e.g., TensorFlow, PyTorch, Scikit-learn) Experience deploying ML models using cloud platforms (AWS, Azure, or GCP) Solid understanding of machine learning algorithms, data structures, and software engineering principles Experience with data pipelines, APIs, and microservices architecture Familiarity with containerization tools such as Docker and orchestration tools like Kubernetes Strong problem-solving skills and attention to detail Desirable Skills Experience with big data technologies (e.g., Spark, Hadoop) Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow) Experience working with NLP, computer vision, or recommendation systems Understanding of data governance and security best practices Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent experience) What We Offer Competitive rate Flexible working arrangements (hybrid/remote options) Collaborative and innovative work environment Access to cutting-edge tools and technologies How to Apply Please submit your CV and a brief cover letter outlining your experience and interest in the role.
05/05/2026
Contractor
Machine Learning Engineer - Contract Location: Nottingham, UK (Hybrid) Salary: £500 £600 p/d (depending on experience) About the Role We are seeking a skilled and motivated Machine Learning Engineer to join our growing team in Nottingham. You will be responsible for designing, building, and deploying scalable machine learning models that drive data-driven decision-making across the business. This role bridges the gap between data science and software engineering, turning prototypes into production-ready systems. Key Responsibilities Design, develop, and deploy machine learning models and pipelines in production environments Collaborate with data scientists, software engineers, and stakeholders to translate business requirements into ML solutions Optimize model performance, scalability, and reliability Build and maintain data pipelines and feature engineering workflows Monitor and retrain models to ensure continued performance over time Implement best practices for version control, testing, and CI/CD in ML systems Stay up to date with the latest advancements in machine learning and AI technologies Required Skills & Experience Strong programming skills in Python (e.g., TensorFlow, PyTorch, Scikit-learn) Experience deploying ML models using cloud platforms (AWS, Azure, or GCP) Solid understanding of machine learning algorithms, data structures, and software engineering principles Experience with data pipelines, APIs, and microservices architecture Familiarity with containerization tools such as Docker and orchestration tools like Kubernetes Strong problem-solving skills and attention to detail Desirable Skills Experience with big data technologies (e.g., Spark, Hadoop) Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow) Experience working with NLP, computer vision, or recommendation systems Understanding of data governance and security best practices Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent experience) What We Offer Competitive rate Flexible working arrangements (hybrid/remote options) Collaborative and innovative work environment Access to cutting-edge tools and technologies How to Apply Please submit your CV and a brief cover letter outlining your experience and interest in the role.
Data Scientist at Haleon - London Bankside, United Kingdom About the role This is an exciting opportunity to join our Global AI & Data Science team. AI, Data Science and Machine learning is a critical part of our strategy as, and we are investing to build best in class data science capabilities so our AI solutions deliver impact and meet our Responsible AI requirements. Key Responsibilities Contribute to all aspects of the Data Science Project Lifecycle, from scoping to research to development to scalable operation. Coordinate and manage competing priorities across Haleon's portfolio of Commercial AI projects with focus on Net Revenue Management. Work with Senior Data Scientists and product teams on the development of data science products to solve business problems. Deliver Responsible AI at scale with best-in-class implementation of model explainability, reliability, security, documentation and bias mitigation in line with Haleon's Responsible AI policy and standards. Research cutting-edge techniques and tools to ensure Haleon's data science solutions are competitive. Motivate & coach colleagues, including apprentices and early talent within the Data Science team to help them develop technical excellence. Qualifications and Skills 4-5 years' experience as a data scientist with proven ability to conceptualize, formulate, prototype and implement algorithms to solve complex business problems. Can coordinate and manage competing priorities across a portfolio of projects. Compile, integrate, and analyse data from multiple sources to answer business questions. Experience communicating advanced data science concepts to both technical and non-technical audiences to facilitate feasibility assessment, prioritisation and adoption. Have scientific mindset and understanding of statistical modelling and the mathematical foundations of Machine Learning algorithms. Proficient in Python. Deep knowledge of a sufficiently broad area of technical specialism (e.g. Time Series, Combinatorial Optimisation, Reinforcement Learning, Bayesian Statistics, NLP etc.). Good knowledge in mining large & complex data sets using SQL and Spark. Preferred Will be curious, enjoy problem solving and have empathy for the problems you are challenged with. Working knowledge on data science frameworks and toolkits (Scipy, Scikit-Learn, Keras, PyTorch, Etc.). Experience with Git, Databricks and Microsoft Azure technical stack. Prior exposure to Agile methodologies. Experience building large scale machine learning systems. Master's Degree in Computer Science, Data Science, Mathematics, Physics or equivalent. Haleon is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.
05/05/2026
Full time
Data Scientist at Haleon - London Bankside, United Kingdom About the role This is an exciting opportunity to join our Global AI & Data Science team. AI, Data Science and Machine learning is a critical part of our strategy as, and we are investing to build best in class data science capabilities so our AI solutions deliver impact and meet our Responsible AI requirements. Key Responsibilities Contribute to all aspects of the Data Science Project Lifecycle, from scoping to research to development to scalable operation. Coordinate and manage competing priorities across Haleon's portfolio of Commercial AI projects with focus on Net Revenue Management. Work with Senior Data Scientists and product teams on the development of data science products to solve business problems. Deliver Responsible AI at scale with best-in-class implementation of model explainability, reliability, security, documentation and bias mitigation in line with Haleon's Responsible AI policy and standards. Research cutting-edge techniques and tools to ensure Haleon's data science solutions are competitive. Motivate & coach colleagues, including apprentices and early talent within the Data Science team to help them develop technical excellence. Qualifications and Skills 4-5 years' experience as a data scientist with proven ability to conceptualize, formulate, prototype and implement algorithms to solve complex business problems. Can coordinate and manage competing priorities across a portfolio of projects. Compile, integrate, and analyse data from multiple sources to answer business questions. Experience communicating advanced data science concepts to both technical and non-technical audiences to facilitate feasibility assessment, prioritisation and adoption. Have scientific mindset and understanding of statistical modelling and the mathematical foundations of Machine Learning algorithms. Proficient in Python. Deep knowledge of a sufficiently broad area of technical specialism (e.g. Time Series, Combinatorial Optimisation, Reinforcement Learning, Bayesian Statistics, NLP etc.). Good knowledge in mining large & complex data sets using SQL and Spark. Preferred Will be curious, enjoy problem solving and have empathy for the problems you are challenged with. Working knowledge on data science frameworks and toolkits (Scipy, Scikit-Learn, Keras, PyTorch, Etc.). Experience with Git, Databricks and Microsoft Azure technical stack. Prior exposure to Agile methodologies. Experience building large scale machine learning systems. Master's Degree in Computer Science, Data Science, Mathematics, Physics or equivalent. Haleon is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.
Senior Data Scientist Role type: Full time Location: UK (Fully Remote) Preferred start date: ASAP About Satalia Satalia builds enterprise grade AI systems for WPP and its FTSE 100 client base. Led by WPP Chief AI Officer Daniel Hulme, we run as a high autonomy, decentralised organisation where engineers and scientists own their domains end to end. We are building AI systems that operate on terabyte scale multimodal datasets to power the next generation of marketing intelligence. The Role Our current work includes: Agentic pipelines - multi step LLM systems with tool use, planning, and self evaluation that automate complex marketing workflows end to end. Domain adapted foundation models - fine tuning open weight LLMs (LoRA, RLHF, distillation) on proprietary WPP data for tasks like audience segmentation, creative scoring, and brand safety classification. Retrieval augmented generation - production RAG systems over large proprietary corpora (embedding models, vector indices, re ranking) that serve real time answers to client queries. Classical ML at scale - gradient boosted models, causal inference pipelines, and recommendation engines that run alongside LLM components in hybrid architectures. You will be the technical lead for projects across these workstreams: scoping the problem, choosing the modelling approach, building the training and evaluation infrastructure, shipping to production, and iterating based on live metrics. You are not handing off a notebook to an engineering team - you ship what you build. What You'll Do Design and run training pipelines - data curation, model selection, hyperparameter search, ablation studies - and be accountable for model quality on live traffic. Build and maintain production inference services (latency budgets, batching strategies, quantisation, monitoring) that serve WPP's global client base. Architect agentic AI systems: define tool schemas, orchestration logic, evaluation criteria, and failure modes for multi step LLM workflows. Work across the stack when needed - write the data pipeline, train the model, build the evaluation harness, deploy the service, and debug it when metrics drift. Set technical direction for your workstream: write design docs, make build vs buy decisions, and defend your approach with evidence. Mentor and set the quality standards for junior scientists. What We're Looking For 5+ years shipping ML models to production - you've dealt with data drift, silent failures, retraining cadences, and the gap between offline metrics and business outcomes. Deep, demonstrable expertise in at least one of: NLP/LLMs, computer vision, recommender systems, or causal inference. Hands on experience with LLM fine tuning (LoRA, RLHF, DPO) or building LLM powered systems (agents, RAG, structured generation). Strong software engineering habits - version control, testing, code review, CI/CD. Comfort with ambiguity. Many of our problems don't have a known good solution. Clear communication - you can write a one page design doc that is useful for both product managers and staff engineers. Nice to Have Experience with multimodal models. Background in marketing technology, ad tech, audience modelling, or media mix modelling. Publications at top venues (NeurIPS, ICML, ACL, CVPR) or meaningful open source contributions. What we Offer Benefits - enhanced pension, life assurance, income protection, private healthcare. Remote working - café, bedroom, beach - wherever works. Truly flexible working hours - school pick up, volunteering, gym. Generous Leave - 27 days holiday plus bank holidays and enhanced family leave. Annual bonus - when Satalia does well, we all do well. Impactful projects - focus on bringing meaningful social and environmental change. People oriented culture - wellbeing is a priority, as is being a nice person. Transparent and open culture - you will be heard. Development - focus on bringing the best out of each other.
05/05/2026
Full time
Senior Data Scientist Role type: Full time Location: UK (Fully Remote) Preferred start date: ASAP About Satalia Satalia builds enterprise grade AI systems for WPP and its FTSE 100 client base. Led by WPP Chief AI Officer Daniel Hulme, we run as a high autonomy, decentralised organisation where engineers and scientists own their domains end to end. We are building AI systems that operate on terabyte scale multimodal datasets to power the next generation of marketing intelligence. The Role Our current work includes: Agentic pipelines - multi step LLM systems with tool use, planning, and self evaluation that automate complex marketing workflows end to end. Domain adapted foundation models - fine tuning open weight LLMs (LoRA, RLHF, distillation) on proprietary WPP data for tasks like audience segmentation, creative scoring, and brand safety classification. Retrieval augmented generation - production RAG systems over large proprietary corpora (embedding models, vector indices, re ranking) that serve real time answers to client queries. Classical ML at scale - gradient boosted models, causal inference pipelines, and recommendation engines that run alongside LLM components in hybrid architectures. You will be the technical lead for projects across these workstreams: scoping the problem, choosing the modelling approach, building the training and evaluation infrastructure, shipping to production, and iterating based on live metrics. You are not handing off a notebook to an engineering team - you ship what you build. What You'll Do Design and run training pipelines - data curation, model selection, hyperparameter search, ablation studies - and be accountable for model quality on live traffic. Build and maintain production inference services (latency budgets, batching strategies, quantisation, monitoring) that serve WPP's global client base. Architect agentic AI systems: define tool schemas, orchestration logic, evaluation criteria, and failure modes for multi step LLM workflows. Work across the stack when needed - write the data pipeline, train the model, build the evaluation harness, deploy the service, and debug it when metrics drift. Set technical direction for your workstream: write design docs, make build vs buy decisions, and defend your approach with evidence. Mentor and set the quality standards for junior scientists. What We're Looking For 5+ years shipping ML models to production - you've dealt with data drift, silent failures, retraining cadences, and the gap between offline metrics and business outcomes. Deep, demonstrable expertise in at least one of: NLP/LLMs, computer vision, recommender systems, or causal inference. Hands on experience with LLM fine tuning (LoRA, RLHF, DPO) or building LLM powered systems (agents, RAG, structured generation). Strong software engineering habits - version control, testing, code review, CI/CD. Comfort with ambiguity. Many of our problems don't have a known good solution. Clear communication - you can write a one page design doc that is useful for both product managers and staff engineers. Nice to Have Experience with multimodal models. Background in marketing technology, ad tech, audience modelling, or media mix modelling. Publications at top venues (NeurIPS, ICML, ACL, CVPR) or meaningful open source contributions. What we Offer Benefits - enhanced pension, life assurance, income protection, private healthcare. Remote working - café, bedroom, beach - wherever works. Truly flexible working hours - school pick up, volunteering, gym. Generous Leave - 27 days holiday plus bank holidays and enhanced family leave. Annual bonus - when Satalia does well, we all do well. Impactful projects - focus on bringing meaningful social and environmental change. People oriented culture - wellbeing is a priority, as is being a nice person. Transparent and open culture - you will be heard. Development - focus on bringing the best out of each other.
Data Scientist Mid Level Role type: Full time Location: Greece (fully remote) Preferred start date: ASAP About Satalia Satalia builds enterprise grade AI systems for WPP and its FTSE 100 client base. Led by WPP Chief AI Officer Daniel Hulme, we run as a high autonomy, decentralised organisation where engineers and scientists own their domains end to end. We are building AI systems that operate on terabyte scale multimodal datasets to power the next generation of marketing intelligence. The Role Agentic pipelines - multi step LLM systems with tool use, planning, and self evaluation that automate complex marketing workflows end to end. Domain adapted foundation models - fine tuning open weight LLMs (LoRA, RLHF, distillation) on proprietary WPP data for tasks like audience segmentation, creative scoring, and brand safety classification. Retrieval augmented generation - production RAG systems over large proprietary corpora (embedding models, vector indices, re ranking) that serve real time answers to client queries. Classical ML at scale - gradient boosted models, causal inference pipelines, and recommendation engines that run alongside LLM components in hybrid architectures. You will work as part of an experienced team contributing directly to one or more of these workstreams. You'll have real ownership of your work - building models, running experiments, and shipping code to production - with guidance from senior scientists who will help you grow technically. What You'll Do Build and iterate on ML models - from data exploration and feature engineering through training, evaluation, and deployment. Implement and maintain components of production ML pipelines: data pre processing, model serving, monitoring, and retraining workflows. Contribute to LLM powered systems - building prompt chains, evaluation harnesses, RAG pipelines, or fine tuning workflows. Analyse large multimodal datasets (text, image, video, structured metadata) to extract features and insights that feed downstream models. Write clean, tested, production quality Python code - not just notebooks. Participate in code reviews, design discussions, and experiment retrospectives. What We're Looking For 2-4 years of experience building ML models, with at least some of that work deployed to production. Solid fundamentals in machine learning: understand bias variance trade offs, cross validation, regularisation, and can reason about why a model is underperforming. Working proficiency in Python and comfort with core ML libraries. Exposure to at least one of: NLP/LLMs, computer vision, recommender systems, or time series modelling. Strong experience with software engineering practices - Git, testing, CI/CD, code review. Curiosity about LLMs and modern AI tooling. Clear communication - you can explain your modelling choices and results to both technical and non technical colleagues. Nice to Have Experience with LLM fine tuning, prompt engineering, or RAG systems. Familiarity with cloud infrastructure (AWS/GCP), Docker, and orchestration tools. Background in marketing technology, ad tech, or audience modelling. A relevant MSc or PhD, or equivalent depth from self directed learning and project work. What we Offer Benefits healthcare; Remote working - café, bedroom, beach - wherever works; Truly flexible working hours - school pick up, volunteering, gym; Generous Leave - holidays in line with Greek Law, plus bank holidays and enhanced family leave; Impactful projects - focus on bringing meaningful social and environmental change; People oriented culture - wellbeing is a priority, as is being a nice person; Transparent and open culture - you will be heard; Development - focus on bringing the best out of each other;
04/05/2026
Full time
Data Scientist Mid Level Role type: Full time Location: Greece (fully remote) Preferred start date: ASAP About Satalia Satalia builds enterprise grade AI systems for WPP and its FTSE 100 client base. Led by WPP Chief AI Officer Daniel Hulme, we run as a high autonomy, decentralised organisation where engineers and scientists own their domains end to end. We are building AI systems that operate on terabyte scale multimodal datasets to power the next generation of marketing intelligence. The Role Agentic pipelines - multi step LLM systems with tool use, planning, and self evaluation that automate complex marketing workflows end to end. Domain adapted foundation models - fine tuning open weight LLMs (LoRA, RLHF, distillation) on proprietary WPP data for tasks like audience segmentation, creative scoring, and brand safety classification. Retrieval augmented generation - production RAG systems over large proprietary corpora (embedding models, vector indices, re ranking) that serve real time answers to client queries. Classical ML at scale - gradient boosted models, causal inference pipelines, and recommendation engines that run alongside LLM components in hybrid architectures. You will work as part of an experienced team contributing directly to one or more of these workstreams. You'll have real ownership of your work - building models, running experiments, and shipping code to production - with guidance from senior scientists who will help you grow technically. What You'll Do Build and iterate on ML models - from data exploration and feature engineering through training, evaluation, and deployment. Implement and maintain components of production ML pipelines: data pre processing, model serving, monitoring, and retraining workflows. Contribute to LLM powered systems - building prompt chains, evaluation harnesses, RAG pipelines, or fine tuning workflows. Analyse large multimodal datasets (text, image, video, structured metadata) to extract features and insights that feed downstream models. Write clean, tested, production quality Python code - not just notebooks. Participate in code reviews, design discussions, and experiment retrospectives. What We're Looking For 2-4 years of experience building ML models, with at least some of that work deployed to production. Solid fundamentals in machine learning: understand bias variance trade offs, cross validation, regularisation, and can reason about why a model is underperforming. Working proficiency in Python and comfort with core ML libraries. Exposure to at least one of: NLP/LLMs, computer vision, recommender systems, or time series modelling. Strong experience with software engineering practices - Git, testing, CI/CD, code review. Curiosity about LLMs and modern AI tooling. Clear communication - you can explain your modelling choices and results to both technical and non technical colleagues. Nice to Have Experience with LLM fine tuning, prompt engineering, or RAG systems. Familiarity with cloud infrastructure (AWS/GCP), Docker, and orchestration tools. Background in marketing technology, ad tech, or audience modelling. A relevant MSc or PhD, or equivalent depth from self directed learning and project work. What we Offer Benefits healthcare; Remote working - café, bedroom, beach - wherever works; Truly flexible working hours - school pick up, volunteering, gym; Generous Leave - holidays in line with Greek Law, plus bank holidays and enhanced family leave; Impactful projects - focus on bringing meaningful social and environmental change; People oriented culture - wellbeing is a priority, as is being a nice person; Transparent and open culture - you will be heard; Development - focus on bringing the best out of each other;
