models in production. This role requires a strong background in MLOps principles, cloud technologies (AWS), and a passion for building robust and efficient systems. You will collaborate closely with data scientists, engineers, and product teams to deliver high-quality ML solutions that directly impact our business. The mission of the DataScience Team is critical for the … and maintain comprehensive monitoring and alerting systems for our ML infrastructure and models, leveraging tools like DataDog to ensure system health and performance Collaboration and Mentorship: Collaborate effectively with data scientists, engineers, and other stakeholders. Provide guidance and support to junior team members Performance Optimization: Continuously optimize ML model performance, data pipelines, and infrastructure to meet evolving business … needs Security and Compliance: Ensure the security and compliance of our machine learning applications and data pipelines, adhering to industry best practices and regulations Problem Solving and Troubleshooting: Proactively identify and resolve issues related to ML model performance, data integrity, and infrastructure What You Bring To The Team Bachelor’s or Master’s degree in Computer ScienceMore ❯
London, England, United Kingdom Hybrid / WFH Options
2K
Senior Business Intelligence Analyst Department: DataScience & Intelligence Employment Type: Permanent - Full Time Location: London, UK Description Tripledot Studios is on track to become one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, and following our recent acquisition announcement, we’re preparing to grow into a global 2,500+ … just getting started. Take a look at our games: iOS Store + Google Play Role Overview As the Senior BI Analyst, you will play a key role in the data analysis and reporting processes of our company. You will be responsible for ensuring the consistency and accuracy of event tracking documentation, as well as utilising Looker to create insightful … and performant dashboards. Your ability to analyse and interpret data will be crucial in driving actionable insights and improving our gaming products. This is a full-time, senior-level position with the opportunity to work with a talented and passionate team, contribute to the growth of our mobile gaming products, and make a significant impact within the company. Key More ❯
high-ambiguity environment. Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. Collaborate closely with product, design, and DevOps to integrate AI features into our platform. Continuously evaluate new research, open-source tools, and … high-ambiguity environment. Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. Collaborate closely with product, design, and DevOps to integrate AI features into our platform. Continuously evaluate new research, open-source tools, and … mentor, and grow an AI/ML team as we scale beyond our seed round. ⸻ Key Responsibilities Architecture & Hands-On Development Define and implement end-to-end AI pipelines: data collection/cleaning, feature engineering, model training, validation, and inference. Rapidly prototype novel models (e.g., neural networks, probabilistic models) using PyTorch, TensorFlow, JAX, or equivalent. Productionize models in cloud More ❯
multiple departments across the company, leveraging analytics to measure and improve on the success and health of our games. We collaborate as a global team to develop cutting-edge data pipelines, data products, data models, reports, analyses, and machine learning applications. The Analytics Architecture vertical within the Analytics team is tasked to build out high impact data models and internal tooling to support the global Analytics team. We design, build, and maintain the foundational infrastructure of Rockstar’s Player Analytics data platform. We work alongside an exploding team of innovative data-driven decision makers directly impacting Rockstar’s future. RESPONSIBILITIES Partner with Data Scientists and business stakeholders to understand analytical needs and translate … them into robust data infrastructure and workflows for the global Analytics team to leverage for deriving insights. Collaborate with the Data Engineering team to design data models and data pipelines. Design, develop and maintain scalable data pipelines. Monitor performance and optimize data systems for high performance and reliability. Collaborate with the Data Integrity More ❯
support of making judgements while leveraging analytics to measure and improve on the success and health of our games. We collaborate as a global team to develop cutting-edge data pipelines, data products, data models, reports, analyses, and machine learning applications. The Analytics Architecture vertical within the Analytics team is tasked to build out high impact data models and internal tooling to support the global Analytics team. We design, build, and maintain the foundational infrastructure of Rockstar’s Player Analytics data platform. Responsibilities Build, spearhead and provide technical mentorship for a team of analytics engineers by sharing technical expertise to support the successful execution of analytics projects. Partner with data scientists and business stakeholders … to understand analytical needs and translate them into robust data infrastructure and workflows for the global analytics team to leverage for deriving insights. Collaborate with data engineering team to architect overall infrastructure model. Design, develop and maintain scalable data pipelines. Monitor performance and optimize data systems for high performance and reliability. Collaborate with the DataMore ❯
high-ambiguity environment. Build, train, and deploy state-of-the-art models (eg, deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. Collaborate closely with product, design, and DevOps to integrate AI features into our platform. Continuously evaluate new research, open-source tools, and … and grow an AI/ML team as we scale beyond our seed round. Key Responsibilities 1. Architecture & Hands-On Development Define and implement end-to-end AI pipelines: data collection/cleaning, feature engineering, model training, validation, and inference. Rapidly prototype novel models (eg, neural networks, probabilistic models) using PyTorch, TensorFlow, JAX, or equivalent. Productionize models in cloud … availability inference. 2. Strategic Leadership Develop a multi-quarter AI roadmap aligned with product milestones and fundraising milestones. Identify and evaluate opportunities for AI-driven competitive advantages (eg, proprietary data, unique model architectures, transfer/few-shot learning). Collaborate with business stakeholders to translate big problems into technically feasible AI solutions. 3. Data & Infrastructure Oversee the creation More ❯
high-ambiguity environment. • Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). • Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. • Collaborate closely with product, design, and DevOps to integrate AI features into our platform. • Continuously evaluate new research, open-source tools, and … and grow an AI/ML team as we scale beyond our seed round. ⸻ Key Responsibilities 1. Architecture & Hands-On Development • Define and implement end-to-end AI pipelines: data collection/cleaning, feature engineering, model training, validation, and inference. • Rapidly prototype novel models (e.g., neural networks, probabilistic models) using PyTorch, TensorFlow, JAX, or equivalent. • Productionize models in cloud … availability inference. 2. Strategic Leadership • Develop a multi-quarter AI roadmap aligned with product milestones and fundraising milestones. • Identify and evaluate opportunities for AI-driven competitive advantages (e.g., proprietary data, unique model architectures, transfer/few-shot learning). • Collaborate with business stakeholders to translate “big problems” into technically feasible AI solutions. 3. Data & Infrastructure • Oversee the creation More ❯
Senior Analytics Engineer Location: London, Hybrid (minimum 2 days per week in office) Type: Full-Time, Permanent Reports to: Engineering Manager/Lead Data Engineer Salary: £55,000-£70,000 per annum Due to the nature of our work, candidates must be eligible for Security Clearance. Join Our Mission At QuantSpark, we're transforming how data and AI … high-street brands, and premium consumer goods companies optimise inventory, enhance price competitiveness, and deliver personalised customer experiences. Asset Management: We build AI-powered investment decision support systems, alternative data integration platforms, and automated risk management solutions for prestigious asset management firms. Public Sector: We're trusted by multiple UK government departments and public sector organisations to deliver predictive … global manufacturing leaders, our cross-industry expertise ensures we bring diverse perspectives to complex challenges. We're seeking an experienced Senior Analytics Engineer who's passionate about turning complex data into actionable insights that drive remarkable results for our clients. Why You'll Love QuantSpark Work That Matters: Lead high-impact analytics projects across diverse sectors-from building predictive More ❯
we will transform our sector for our players, for ourselves and for the good of entertainment. Job Description Are you a strategic thinker with a deep technical background in datascience, machine learning, and AI? Do you thrive on transforming complex data into actionable insights? At Entain , we're looking for a Senior DataScience & AI Manager to lead our world-class team in delivering transformative, data-driven solutions across our global operations. About the Role As our Senior DataScience & AI Manager, you'll lead a team of data scientists and AI experts to develop cutting-edge models, uncover critical business insights, and drive strategic decisions. Your work will … power innovation across all stages of Entain's product lifecycle - from inception through growth and maturity - shaping the future of data at one of the world's largest sports betting and gaming groups. Key Responsibilities Team Leadership: Manage and develop high-performing teams of data scientists, fostering a collaborative and innovative environment. Project Oversight: Coordinate the distribution of More ❯
As a Head of DataScience & Engineering as a senior member of the Data & Analytics team you will join us on our journey and undertake a valuable role responsible for the development and delivery of functional strategies, role always modelling the Post Office behaviours and demonstrating a Postmaster first mindset. The job title will be responsible for … leading the development, deployment, and optimisation of datascience models and engineering pipelines to drive business transformation. Reporting to the Data & Analytics Director, this role provides strategic and technical leadership to a team of data scientists and data engineers, to facilitate high-quality and actionable insights by ensuring that data is available and reliable. … The role will also oversee workflow prioritisation, quality assurance, and the implementation of best practices in datascience and engineering to enhance decision-making across the organisation. Additionally, the Head of DataScience & Engineering will play a key role in fostering innovation, ensuring data compliance, and aligning analytics initiatives with business goals. They will drive More ❯
Position Summary As an Associate Director within the INDIGO | AI Innovation Lab, you will lead the development and scaling of datascience capabilities while acting as a technical expert and mentor within the team. You will take ownership of key projects and work closely with senior stakeholders to deliver datascience-driven solutions that align with … enterprise goals. This is a hands-on role where you will develop and implement cutting-edge datascience solutions, build and maintain digital products, and enable the democratization of data through scalable tools and best practices. The ideal candidate will have a strong technical background, excellent datascience and visualization skills, good communication skills, an … work a hybrid office schedule. Job Description JOB DESCRIPTION Position Summary As an Associate Director within the INDIGO | AI Innovation Lab, you will lead the development and scaling of datascience capabilities while acting as a technical expert and mentor within the team. You will take ownership of key projects and work closely with senior stakeholders to deliver More ❯
Job Title: HR DataScience Intern About Us: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. We are facing the world’s greatest balancing act- how to simultaneously reduce emissions and meet the world’s growing energy … to know more, please visit our website at https://www.slb.com/Location: Victoria, London, UK Job Summary: SLB HR Learning & Competency is seeking a motivated and talented DataScience Intern to join our dynamic team. As an intern, you will have the opportunity to work alongside experienced HR professionals and understand HR data and workflows. … You will leverage this understanding to analyze data, automate workflows, embed AI, and enable data-driven decision-making, contributing to the development of cutting-edge solutions in the HR domain. The role sits within the HQ HR team and reports to the Division Learning & Competency Manager. It offers the successful candidate an opportunity to contribute to the strategic More ❯
City of London, London, United Kingdom Hybrid / WFH Options
SLB
Job Title: HR DataScience Intern About Us: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. We are facing the world’s greatest balancing act- how to simultaneously reduce emissions and meet the world’s growing energy … to know more, please visit our website at https://www.slb.com/Location: Victoria, London, UK Job Summary: SLB HR Learning & Competency is seeking a motivated and talented DataScience Intern to join our dynamic team. As an intern, you will have the opportunity to work alongside experienced HR professionals and understand HR data and workflows. … You will leverage this understanding to analyze data, automate workflows, embed AI, and enable data-driven decision-making, contributing to the development of cutting-edge solutions in the HR domain. The role sits within the HQ HR team and reports to the Division Learning & Competency Manager. It offers the successful candidate an opportunity to contribute to the strategic More ❯
Bristol, England, United Kingdom Hybrid / WFH Options
Ignite Digital Search Limited
If you’re a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation, and you're excited about shaping the future of data in a cloud-first environment, we want to hear from you! This is a fantastic opportunity to join our client at the start of its major data transformation journey. Their … with Microsoft Azure, Fabric, and Synapse technologies will see you work with cutting-edge Cloud and AI-driven analytics, making this an exciting time to be part of its datascience team. The role. We are looking for a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation. You will Lead and optimize … and operational insights. Maintain and further develop pricing analytics models and web applications for internal stakeholders. Drive segmentation modelling projects, improving customer targeting and personalization strategies. Develop and refine data pipelines and ETL processes, enabling efficient data integration into Azure Synapse & Fabric. Play a key role in cloud migration projects, supporting the organization’s transition to Azure-based More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
Role : Junior Data Scientist Location : London, UK (Hybrid) Salary : £35k-£45k (DOE) Are you passionate about data and finance? Join a revolutionary financial services company in the heart of London, where you'll help over 200,000 businesses across the UK and Europe navigate challenges and boost profitability. My client is looking for a Junior Data Scientist … eager to apply their analytical and modeling skills to provide insight and drive impactful business decisions. Your Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data … solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate with cross-functional teams: Work closely with finance, product, and technology teams to align datascience initiatives with business goals. Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements : Bachelor’s degree in More ❯
Role : Junior Data Scientist Location : London, UK (Hybrid) Salary : £35k-£45k (DOE) Are you passionate about data and finance? Join a revolutionary financial services company in the heart of London, where you'll help over 200,000 businesses across the UK and Europe navigate challenges and boost profitability. My client is looking for a Junior Data Scientist … eager to apply their analytical and modeling skills to provide insight and drive impactful business decisions. Your Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data … solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate with cross-functional teams: Work closely with finance, product, and technology teams to align datascience initiatives with business goals. Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements : Bachelor’s degree in More ❯
London, England, United Kingdom Hybrid / WFH Options
Simon-Kucher
Social network you want to login/join with: Data Scientist Location: London, United Kingdom This is an exciting opportunity to join our DataScience team in London! How you will create impact: As a Data Scientist at Simon-Kucher, you will be an integral part of the project teams working to drive top-line growth … for our clients, primarily focused on UK and Netherlands projects. You will be responsible for core components of the model development process, from data wrangling/pre-processing to Machine Learning model development, testing, and implementation. You will also gather and communicate meaningful data insights to your project team. Your responsibilities include: Data wrangling, extraction, and pre … processing in SQL or Python Conducting exploratory data analysis and communicating insights through clear descriptions and visualizations in Tableau or PowerBI Developing, testing, and implementing Machine Learning models Conducting research on recent developments in Machine Learning and AI, focusing on pricing, sales, and marketing topics Being a subject matter expert on Machine Learning and AI for your project team More ❯
Job ID: Amazon Development Centre (India) Private Limited The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI/ML products and research models to optimize operation processes. You will work with Product Managers, Data Engineers, Data Scientists, Research Scientists … Applied Scientists and Business Intelligence Engineers using rigorous quantitative approaches to ensure high quality data/science products for our customers around the world. We are looking for a Sr.Data Scientist to join our growing Science Team. As Data Scientist, you are able to use a range of science methodologies to solve challenging business problems … the project and proposing solutions which align with org's priorities and production constraints but still create impact. You will achieve this by leveraging strong leadership and communication skills, datascience skills and by acquiring domain knowledge pertaining to the delivery operations systems. You will provide ML thought leadership to technical and business leaders, and possess ability to More ❯
Overview We're seeking a Senior Data Scientist to lead the development of advanced analytics and AI/ML solutions that unlock real value across our business. This is a contract role for 6 months . In this contract role, you'll work with proprietary and B2B research datasets to design, deliver, and scale data-driven products. Collaborating … Product, Research, and Technology, you'll help turn strategic ideas into working MVPs-ensuring high standards of methodology, quality, and business relevance throughout. You'll also help shape the datascience environment by working alongside our tech teams to support a robust and flexible infrastructure, including sandbox environments for onboarding and evaluating new data sources. This is … a great opportunity for a self-driven, impact-oriented data scientist who thrives in a fast-paced, cross-functional setting-and is eager to deliver meaningful results in a short time frame. Main Duties and Responsibilities Spearhead and execute complex datascience projects using a combination of open-source and cloud tools, driving innovation and delivering actionable More ❯
Social network you want to login/join with: Senior Data Scientist [Relocate to Riyadh], london col-narrow-left Client: Talent Seed Location: london, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 26.06.2025 Expiry Date: 10.08.2025 col-wide Job Description: *Riyadh Based* - This role requires relocation to Riyadh, KSA Our … client seeks a Senior Data Scientist with a passion for data and at least 5 years of industry experience. The successful candidate will develop models that transform complex datasets into actionable insights, enhancing our product offerings and informing strategic decisions. Key Responsibilities: Develop and deploy machine learning models and algorithms to address complex business challenges. Translate intricate business … problems into technical solutions. Write clean, modular, and scalable code suitable for production environments. Lead data mining and collection strategies to prepare large-scale data for predictive and prescriptive modelling. Analyze extensive, complex datasets to extract insights and communicate results effectively. Innovate new modelling and machine learning approaches to enhance existing processes and capabilities. Collaborate with cross-functional More ❯
Social network you want to login/join with: Senior Data Scientist [Relocate to Riyadh], slough col-narrow-left Client: Talent Seed Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 26.06.2025 Expiry Date: 10.08.2025 col-wide Job Description: *Riyadh Based* - This role requires relocation to Riyadh, KSA Our … client seeks a Senior Data Scientist with a passion for data and at least 5 years of industry experience. The successful candidate will develop models that transform complex datasets into actionable insights, enhancing our product offerings and informing strategic decisions. Key Responsibilities: Develop and deploy machine learning models and algorithms to address complex business challenges. Translate intricate business … problems into technical solutions. Write clean, modular, and scalable code suitable for production environments. Lead data mining and collection strategies to prepare large-scale data for predictive and prescriptive modelling. Analyze extensive, complex datasets to extract insights and communicate results effectively. Innovate new modelling and machine learning approaches to enhance existing processes and capabilities. Collaborate with cross-functional More ❯
RLDatix Greater London, England, United Kingdom Join or sign in to find your next job Join to apply for the Data Scientist role at RLDatix RLDatix Greater London, England, United Kingdom Join to apply for the Data Scientist role at RLDatix RLDatix is on a mission to transform care delivery worldwide, ensuring every patient receives the safest, highest … quality care. Through our innovative Healthcare Operations Platform, we're connecting data to unlock trusted insights that enable improved decision-making and help deliver safer healthcare for all. At RLDatix we’re making healthcare safer, together. Our shared passion for meaningful work drives us, while a supportive, respectful culture makes it all possible. As a team, we collaborate globally … to reach our ultimate goal—helping people. We’re searching for a UK-based Data Scientist to join our Data Platform team, so that we can build and scale innovative datascience solutions that power critical decisions across our organization. The Senior Data Scientist will lead the development of machine learning models and intelligent dataMore ❯
POSITION OVERVIEW As a data scientist, you'll play a pivotal role in developing and enhancing our innovative supply chain solutions. You'll collaborate closely with a talented team of passionate engineers and industry experts, applying data engineering and datascience techniques to optimize supply chain processes. Your expertise will directly contribute to providing our clients … implement machine learning models to improve the accuracy of supply chain ETA s. Analyze large, complex datasets to extract meaningful insights and identify trends. Design, build, and maintain scalable data pipelines and data lakes to ensure efficient data flow and storage for analytics purposes. Collaborate with cross-functional teams to integrate analytics solutions into our products. Design … and build data visualization tools to communicate findings to stakeholders. Continuously research and apply the latest techniques in AI and machine learning to supply chain problems. Contribute to the development of our analytics product suite, ensuring scalability and efficiency. Communicate complex datascience concepts to non-technical stakeholders. Key Responsibilities 1. Advanced Predictive Models: Utilize machine learning More ❯
Curve is a next-gen insights, analytics and technology consultancy that leverages digital consumer data and advanced technology to help businesses unlock consumer opportunities. Digital consumer data is powerful; it's big, it's real, and it's always updating. We use a combination of in-house technology and bespoke solutions, powered by AI, to transform data … machine learning and AI are key to how we deliver impact, centred on: Natural Language Processing, GPT & other LLMs : unearthing trends, themes and other patterns from large text-based data sets, and deploying state-of-the-art AI to automate and empower consumer facing businesses and their insights & analytics functions Marketing DataScience & Personalisation : using first party … consumer data to understand each client's consumer base, building personalisation and other machine learning models to better engage with and excite consumers Data Engineering & Data Architecture : data engineering across a variety of tools to integrate these leading technologies into optimised and efficient data models and ecosystems, feeding into best-in-class analytics dashboards, marketing More ❯
Galytix (GX) is delivering on the promise of AI. GX has built specialised knowledge AI assistants for the banking and insurance industry. Our assistants are fed by sector-specific data and knowledge and easily adaptable through ontology layers to reflect institution-specific rules. GX AI assistants are designed for Individual Investors, Credit and Claims professionals. Our assistants are being … hallucinating, our assistants are empowering financial professionals and delivering 10x improvements by supporting them in their day-to-day tasks. Responsibilities: Helping to architect, design, implement, and optimise our data ingestion, transformation, and spreading pipelines and processes. Developing data models, processing pipelines, and back-end services supporting the datascience teams, automating processes, building integrations, and … analytics. Desired skills: A university degree in Mathematics, Computer Science, Engineering, Physics or similar. 5+ years of relevant experience in Data Engineering, warehousing, ETL, automation, cloud technologies, or Software Engineering in data related areas. Ability to write clean, scalable, maintainable code in Python with a good understanding of software engineering concepts and patterns. Proficiency in other languages More ❯