Group Head of DataScience Up to £200,000 London (Hybrid + occasional travel to Europe) Company: A leading international lottery and gaming group operating across Europe. They combine local expertise with global scale to deliver fun, responsible, and innovative gaming while generating meaningful impact for the communities we serve. They're now building a centralised data function to unify and scale data efforts across their group of businesses, using technology to drive transparency, efficiency, and growth. Responsibilities: Define and drive the vision for a centralised datascience function across all brands and business units. Develop and deliver the group-wide data strategy in alignment with executive leadership Build out the team … further over time, including hiring and capability development. Foster collaboration and knowledge sharing among data teams in different countries and business units Serve as the main point of contact for senior stakeholders across marketing, product, technology, and operations. Ensure high standards in project delivery, governance, and impact measurement. Drive adoption of modern machine learning methods and emerging technologies (including More ❯
Group Head of DataScience Up to £200,000 London (Hybrid + occasional travel to Europe) Company: A leading international lottery and gaming group operating across Europe. They combine local expertise with global scale to deliver fun, responsible, and innovative gaming while generating meaningful impact for the communities we serve. They're now building a centralised data function to unify and scale data efforts across their group of businesses, using technology to drive transparency, efficiency, and growth. Responsibilities: Define and drive the vision for a centralised datascience function across all brands and business units. Develop and deliver the group-wide data strategy in alignment with executive leadership Build out the team … further over time, including hiring and capability development. Foster collaboration and knowledge sharing among data teams in different countries and business units Serve as the main point of contact for senior stakeholders across marketing, product, technology, and operations. Ensure high standards in project delivery, governance, and impact measurement. Drive adoption of modern machine learning methods and emerging technologies (including More ❯
Data Scientist - Survey Insights Strategy & Insight Consultancy Central London (Hybrid) £55 - £65,000 + excellent benefits Innovative and advanced datascience techniques help this strategy and insight consultancy’s clients turn data into smart insights. Joining a growing DataScience & Analytics team you will get the chance to work on challenging and diverse analytics … projects, collaborating closely with range of clients and stakeholders across the business, advising on best analytical approaches to guide your clients’ decisions. With strong data analysis, machine learning and statistical modelling expertise you will lead projects across multiple sectors including technology, financial services, public sector, retail, utilities and more. You will be able to showcase your expertise in modelling … market research survey data, multivariate statistics, segmentation, conjoint analysis and behavioural analysis. Utilising your strong communication skills, you will also play a central role in coaching and training other talented team members and lead innovative analytical initiatives. You will bring experience working in datascience/statistics from a market research or media agency, and be an More ❯
Data Scientist - Survey Insights Strategy & Insight Consultancy Central London (Hybrid) £55 - £65,000 + excellent benefits Innovative and advanced datascience techniques help this strategy and insight consultancy’s clients turn data into smart insights. Joining a growing DataScience & Analytics team you will get the chance to work on challenging and diverse analytics … projects, collaborating closely with range of clients and stakeholders across the business, advising on best analytical approaches to guide your clients’ decisions. With strong data analysis, machine learning and statistical modelling expertise you will lead projects across multiple sectors including technology, financial services, public sector, retail, utilities and more. You will be able to showcase your expertise in modelling … market research survey data, multivariate statistics, segmentation, conjoint analysis and behavioural analysis. Utilising your strong communication skills, you will also play a central role in coaching and training other talented team members and lead innovative analytical initiatives. You will bring experience working in datascience/statistics from a market research or media agency, and be an More ❯
Join our team as an MLOps Engineer who acts as the critical bridge between Data Scientists and DevOps Engineers. Translate experimental ML models into scalable, production-ready applications using cutting-edge AWS services. The Role Core Responsibilities: Technical Liaison - Bridge DataScience and DevOps teams, ensuring effective AI/ML solution deployment Hands-On Support - Assist data … APIs using Apigee for enterprise AI functionality access Automation - Build CI/CD pipelines using Jenkins and Maven for ML project integration Essential Requirements Minimum Qualifications: Degree in Computer Science, DataScience, Mathematics, Physics, or equivalent experience Python/R proficiency with practical ML and statistical modeling experience End-to-end ML delivery - From experimentation to production … deployment Datascience fundamentals - Data cleaning, feature engineering, model evaluation Critical Technical Skills: Production ML deployment - Demonstrated experience maintaining AI/ML models in production AWS ML services - SageMaker, Bedrock, Glue, Kendra, Lambda, ECS Fargate, Redshift Hugging Face deployment - NLP, vision, and generative models in AWS environments API development - Flask, FastAPI microservices and REST API frameworks DevOps More ❯
minute availability, it's never too late to make any day extraordinary.Viator. One app, 300,000+ travel experiences you'll remember. What You will do: Lead the development of DataScience within Product, producing statistical models that directly impact the insights and recommendations that drive the product and customer experience. Use your knowledge and experience to help scale … the impact of the Product Analytics team through data science. Creating automation, self service model capability, improve experimentation velocity, and drive efficiency. Architect and implement sophisticated statistical models (predictive, classification, clustering, etc.) to enhance product features like personalization and recommendations. Exploration of new tooling, product and approaches including Agentic AI and AI Agents, to identify opportunity areas, explore through … POC to then drive to adoption. Partner with Product Managers, Designers, and Engineers to identify high-impact opportunities where datascience can solve customer problems and improve the product. Champion experimentation by designing and analyzing complex AB tests, causal inference models, and uplift modeling to inform product decisions. Guide and mentor other product analysts in best practices for More ❯
Are you passionate about delivering real value to an organisation using advanced techniques in datascience and machine learning? We are looking for multiple talented senior data scientists for our leading FinTech client. These role presents an opportunity for you to partner with stakeholders across all areas of the business, including marketing, risk, customer services and quants … to deliver impactful data products using state-of-the-art machine learning technique Key Responsibilities Lead high-impact projects, being a technical thought leader and subject matter expert in classic Machine Learning as well as advanced and generative AI. Explore a variety of data from structured to unstructured data spanning client, operational and financial domains to identify … opportunities for datascience that add value to the business. Advance the use of AI within the business by building our next generation data products, eg recommendation systems, chatbots, text analytics systems, pricing and hedging optimisation and automatic insight generation systems. Work with stakeholders from across the business to turn business problems into datascienceMore ❯
City of London, London, United Kingdom Hybrid / WFH Options
Cognify Search
Senior Data Scientist - up to £75,000 Join an incredible DataScience leader and she continues the growth and development of a best-in-class team in the insurance space. Work on datascience & machine learning models, with a key focus on marketing, customer, LTV & churn as they elevate their central function for a new … work from abroad flexibility, very generous pension scheme! 🏠 Remote working: 1-2 days per month in the London HQ - highly flexible! 🧩 Interview process: 3 stages 📢 Reporting to: Head of DataScience 👏 Company size: ~2500 🎯 Working on: Developing new datascience models for the customer & marketing team at group level! What are we looking for? Good experience More ❯
Senior Data Scientist - up to £75,000 Join an incredible DataScience leader and she continues the growth and development of a best-in-class team in the insurance space. Work on datascience & machine learning models, with a key focus on marketing, customer, LTV & churn as they elevate their central function for a new … work from abroad flexibility, very generous pension scheme! 🏠 Remote working: 1-2 days per month in the London HQ - highly flexible! 🧩 Interview process: 3 stages 📢 Reporting to: Head of DataScience 👏 Company size: ~2500 🎯 Working on: Developing new datascience models for the customer & marketing team at group level! What are we looking for? Good experience More ❯
Head of DataScience - Credit Risk/Lending Up to £130,000 + Bonus London (2/3 days onsite) Company: A long term client of ours, operating within the Credit/Lending space is looking to bring in a new Head of Data Science. Focused on Credit Cards and Loans, the company uses a digital-first … platform and smart analytics to assess affordability fairly and lend responsibly. Backed by a trusted brand, it’s making credit clear, accessible, and ethical. Responsibilities: Lead a DataScience team to build and embed top credit models supporting growth and customer outcomes. Develop and deploy segmented credit models for unsecured consumer lending. Improve data and analytics by … identifying opportunities and encouraging rapid testing. Work with Analytics to optimise portfolio value through data and modelling adjustments. Communicate insights to stakeholders, monitor model performance, and collaborate across teams and external partners. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience working with models in the Credit Risk/Lending space More ❯
Head of DataScience - Credit Risk/Lending Up to £130,000 + Bonus London (2/3 days onsite) Company: A long term client of ours, operating within the Credit/Lending space is looking to bring in a new Head of Data Science. Focused on Credit Cards and Loans, the company uses a digital-first … platform and smart analytics to assess affordability fairly and lend responsibly. Backed by a trusted brand, it’s making credit clear, accessible, and ethical. Responsibilities: Lead a DataScience team to build and embed top credit models supporting growth and customer outcomes. Develop and deploy segmented credit models for unsecured consumer lending. Improve data and analytics by … identifying opportunities and encouraging rapid testing. Work with Analytics to optimise portfolio value through data and modelling adjustments. Communicate insights to stakeholders, monitor model performance, and collaborate across teams and external partners. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience working with models in the Credit Risk/Lending space More ❯
This means our customers can focus on groundbreaking research, while we take care of the rest. Why Work at Automata? Impact : Your work will directly contribute to advancements in science and medicine, supporting labs around the globe as they push boundaries in research and innovation. Innovation : You'll be part of a team solving complex problems (seriously, no one … Community : Join a diverse, passionate team that values collaboration (golf on a Thursday, Soccer once a month, movie nights whenever we fancy it). We are seeking a skilled Data&BI Analyst to join our growing 177-person company (120 in the UK, 50 in the US) to drive data-driven decision-making through comprehensive analysis of our … internal company operations and performance. This is a pivotal role for someone who is passionate about data analysis and wants a crash course on driving business performance. Key Responsibilities: Data Analysis & Reporting Analyse core company data across departments Design and build interactive dashboards using BI tools for key business metrics including, but not limited to, company growth More ❯
Job Role : DataScience Manager Location : London Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation … Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. As a team: The Data and AI revolution is changing everything. It's everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture is … way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. In this role you will: Lead, motivate and inspire teams of Data Scientists Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such as Deep More ❯
Job Description Do you want to help us build a data-driven culture for digital product development? We have an amazing job opportunity for you! We are looking for an Analytics Engineer in our Data, Analytics & Business Improvement team. Come and help us build a robust behavioral analytics platform for our portfolio of consumer-facing LEGO websites, apps … and other owned experiences. Core Responsibilities Partner with multiple digital product teams to define & implement our data model, ensuring we have a scalable way of turning raw data from a range of sources into structured tables and data feeds that are aligned with the most common business questions requiring analysis and reporting: Work with Analytics Business Partners … and create a semantic & reporting layer for our suite of digital products, including the build and maintenance of DBT models for our behavioral analytics platform. Partner with the LEGO Data Office to develop standards and ways of working for data producers and data consumers across Digital Consumer Engagement and embed these across digital product teams (dataMore ❯
Our fully automated, purpose-built solution eliminates the manual processing of business- critical commercial documents with 100% data accurate, touchless transactions. These documents include purchase orders, invoices, advance shipping notices, and other essential commercial documents exchanged between business and their customers. About the Role: As Conexiom continues to be experiencing significant growth, we are scaling our datascience initiatives to the next level. Conexiom's data scientist is a problem-solver, and we are building real-world Machine Learning (ML) solutions in an enterprise product suite to further position Conexiom as a thought leader in the business automation space. You will be working in a fast-paced Agile environment with a proven ML product already in … Implement machine learning models into production environments, ensuring scalability and reliability. Monitor and maintain the performance of deployed models, making updates and improvements as necessary. Work closely with the data engineer and Principal ML engineer. Stay updated with the latest advancements in machine learning, AI, and datascience Qualifications: Bachelor's or Master's degree in Computer More ❯
customer, providing a search & discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn't, and use our technology, data and creativity to bring more joy, greater choice and fewer fails. Our mission is to help fashion shoppers make better decisions and help fashion partners find better audiences as … technically strong Machine Learning Engineer to join our Product Listings team-focused on unlocking smarter, more scalable advertising through automation and optimisation. This is a hybrid role combining deep datascience expertise with production-grade ML engineering. You'll be a driving force behind our performance marketing automation: designing experiments, building predictive models, and deploying them at scale … and monitor models in production: setting up retraining workflows, pipeline orchestration, and performance alerts. You will be supported in this by your tech lead and colleagues from the wider DataScience chapter at Lyst. We work mainly in Python using all the standard ML toolkits and frameworks (e.g. SKLearn, Tensorflow, Pytorch), and run our ML code in the More ❯
The Associate Director, AI Data Scientist will be responsible for leading the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Lead the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including … such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Lead the development and implementation of GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Lead the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE … new ways of generating real data, patients' engagement. Design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, datascience and global medical More ❯
Role Summary Tasman is defining the future of Data Analytics-as-a-Service. We are a young and growing company funded fully by analytics & datascience work for our ambitious clients. We are hiring a senior data engineer at Tasman to: Take ownership of the design and implementation of data pipelines and platforms for our … clients Mentor and develop other Engineers to achieve their full potential Work with Data Product Manager to develop plans and roadmaps that deliver on client objectives each sprint and throughout the engagement Support and enable other functions within your team to deliver data products. ABOUT TASMAN At Tasman, we transform disorganised data into meaningful business value, empowering … analytics. As a boutique consultancy with offices in the UK and the Netherlands, we have been serving clients across Europe since 2017. Our expertise spans analytics, business intelligence, and datascience, allowing us to deliver rapid, impactful results through tailored, scalable solutions. Our past and current clients include well known brands like The Earthshot Prize, Verisure, Paired, Ecosia More ❯
Lead/Principal Data Scientist London – Hybrid (3 days a week) £90,000 - £115,000 + Benefits Our client is a precision marketing agency, leveraging data, technology, and creativity to fuel client growth. As part of their Marketing Sciences DataScience Team, you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge DataScience and Machine Learning solutions. This is still a largely hands on role, with around 20% team leadership. What You’ll Do Oversee datascience projects, guide junior team members, and drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use … and improve business outcomes. Work with cross-functional teams and present insights to technical and non-technical stakeholders. What We’re Looking For A strong academic background in Computer Science, Mathematics, Physics, or a related field. Proven experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands More ❯
Lead/Principal Data Scientist London – Hybrid (3 days a week) £90,000 - £115,000 + Benefits Our client is a precision marketing agency, leveraging data, technology, and creativity to fuel client growth. As part of their Marketing Sciences DataScience Team, you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge DataScience and Machine Learning solutions. This is still a largely hands on role, with around 20% team leadership. What You’ll Do Oversee datascience projects, guide junior team members, and drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use … and improve business outcomes. Work with cross-functional teams and present insights to technical and non-technical stakeholders. What We’re Looking For A strong academic background in Computer Science, Mathematics, Physics, or a related field. Proven experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands More ❯
What do you want to search? Keyword Apprenticeship Type Location Homes England Apprenticeship Programme 2025 - Associate Data Scientist Homes England Apprenticeship Programme 2025 - Associate Data Scientist , Apply From: 29/06/2025 Learning Provider Delivered by NORTHEASTERN UNIVERSITY-LONDON Employer Homes England Vacancy Description Essential Criteria •Either a degree in a maths or science subject, or … demonstrable experience in statistics, data and analysis •You will have a good understanding of statistics, such as distributions, hypothesis testing and regression. •Experience of or a willingness to learn coding languages, particularly sql and Python (including core data analysis libraries such as Pandas and NumPy). •Experience creating engaging data narratives and visualisations to tell a story … A curiosity around data, and desire to understand its completeness, quality, usability, and applicability to a business or policy area. •A strong interest in continued learning, and the willingness to do this independently. Desirable Criteria •Understanding on the importance of data understanding, data cleansing, data manipulation and data translation •An interest in the worlds of More ❯
well as specialist practices Publicis Media Exchange (PMX), Performics, Publicis Sport & Entertainment, Publicis Media Content and NextTECHnow. Together they combine deep expertise in media investment, strategy, insights and analytics, data and technology, commerce, performance marketing and content. Publicis Media is part of Publicis Groupe and is present in more than 100 countries with over 23,500 employees worldwide. Our … teams from Google, Meta, TradeDesk and Amazon to deliver innovative solutions that helps deliver businessresults to our clients. Overview We are seeking a highly motivated and experienced AI/DataScience Product Strategy Lead to spearhead the development and implementation of innovative AI-powered solutions that will revolutionize our performance marketing capabilities. This pivotal role will be responsible … the areas of LLMs, generative AI, and agent frameworks, and identify opportunities for their application within performance marketing• Collaborate with cross-functional teams: Work closely with media buyers, analysts, data scientists, and engineering teams to define product requirements, manage development sprints, and ensure successful product launches and adoption• Drive the adoption and scaling of AI solutions: Develop and implement More ❯
andmake a positive contribution to the world of banking and society. THE ROLE We are looking for a visionary and results-driven Head ofData & Analytics to lead our global data strategy, governance, andanalytics initiatives within the Corporate Global IT organization. This role iscritical in transforming data into actionable insights that drive businessperformance, innovation, and competitive advantage. You will … making into the core of our operations. Additionally, youwill oversee the ownership and evolution of enterprise budgeting andforecasting software, ensuring it supports strategic financial planning andintegrates seamlessly with broader data and analytics frameworks. OPPORTUNITIES You will Data Strategy & Leadership: Define and execute the enterprise-wide data and analytics strategy aligned with global business goals, offering a single … source of truth and holistic data management/access solution. Team Management: Lead, mentor, and grow a high-performing team of data scientists, analysts, and engineers. Data Governance: Establish and enforce data governance policies, ensuring data quality, security, and compliance across regions. Analytics & Insights: Drive the development of advanced analytics, dashboards, and reporting to support More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Circle Recruitment
Role: Senior Data Engineer Salary/Rate: £600-700 per day inside IR35 Location: hybrid multiple locations available, 2 days on siteContract Duration: 4 months, potential to extend We are currently looking for a Senior Data Engineer for our government client. This Senior Data Engineer role is hybrid, based between 2 days per week on site and … the remainder of the week working remotely. Office locations include most major towns, with London being a preference. The contract for the Senior Data Engineer position is for 4-months with potential to extend, operating inside IR35. Security Clearance: Security Check ("SC Clearance") This role is inside IR35 - Due to the service of the role, it will now be … based on an Umbrella solution. Essential skills/experience required: Strong experience designing, building and maintaining data pipelines using modern, cloud-based tools and practices Proficiency in Python and SQL for data engineering tasks Experience with DBT and a good understanding of data modelling approaches (e.g. star schema, dimensional modelling) Familiarity with Airflow or similar orchestration tools More ❯
artificial intelligence and machine learning. Whether you are a recent graduate or in your final year of studies, this role offers the opportunity to work alongside seasoned AI engineers, data scientists, and product teams, contributing to the development of real-world AI solutions. You will support the development of data pipelines, machine learning models, and prototype applications while … receiving structured academic instruction and mentorship. The programme combines practical work experience with formal training aligned with national apprenticeship standards for Artificial Intelligence (Level 6) or DataScience (Level 7). Requirements Key Responsibilities Assist in collecting, cleaning, validating, and preparing data for training and evaluation. Support the design, development, and tuning of machine learning and deep … learning models. Contribute to scalable and reusable data pipelines using modern ML workflows. Conduct experiments and benchmarking exercises to test model performance. Perform error analysis, feature importance, and other model diagnostics. Track and log training/testing outcomes to support reproducibility and model versioning. Engineering Contributions Help build and integrate AI-powered APIs, scripts, and microservices. Collaborate on backend More ❯