426 to 450 of 815 Data Science Jobs in London

within the team. You will lead complex analytics projects; scoping work, designing solutions, and guiding clients through change. You'll work closely with business and technical stakeholders to turn data into actionable insight. What You'll Do: Lead end-to-end delivery of analytics projects Design scalable data architectures on cloud platforms Translate business needs into effective analytics … help improve delivery practices Support pre-sales and contribute to service development What We're Looking For: 7+ years in analytics with proven delivery leadership Strong skills in cloud data platforms (Snowflake, Azure, AWS, or GCP), SQL, and data modelling Experience with BI tools like Power BI, Tableau, or Looker Familiarity or interest in AI and data science techniques (LLMs, predictive models, automation) Consulting skills: stakeholder engagement, workshop facilitation Team leadership and coaching experience More ❯

/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic. Key responsibilities Define and implement … for generative AI (and in particular language) applications. Perform user research to understand the application's risks and failure modes. Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high quality software implementations according to best practices and expected to participate in code reviews. Liaise with other technical staff and data engineers … in the team and across allied teams, to build an end-to-end pipeline consuming other data products Deliver ML- and data-driven insights on GenAI datasets. Basic qualifications: A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data More ❯

Contract Opportunity: Lead Data Scientist (Image-Based Predictive Modelling) Location: London/Hybrid/Remote Day Rate: Up to £600/day (Inside or Outside IR35) Contract Length: Initial 5 weeks (very strong extension potential) Start Date: Within 1-2 weeks Industry: Financial Services (Marketing Analytics Project) Interview Slots Available This Week - Fast Turnaround About the Company Join a … specialist data and analytics consultancy working with major financial services organisations. You'll be part of a high-performing, agile squad that owns delivery end-to-end. The environment is innovative, outcome-focused, and ideal for individuals who enjoy solving commercially impactful problems with autonomy. The Opportunity This is a hands-on Lead Data Scientist role where you … deploy a model that forecasts click-through rates and explains why certain images drive better performance. What You'll Be Doing Build and refine a predictive model using image data & historical engagement metrics? Identify which image characteristics (colour, objects, themes) influence customer behaviour? Implement explainability (e.g. SHAP, feature importance)? Build a simple internal UI (Dash, Streamlit, or Flask) for More ❯

and contribute to real-world solutions that shape how Antares works. Come join us and help shape the future of Antares! Knowledge and Experience Passion for AI, automation, and data Exposure to Python or cloud tech Completion of a bachelor's or master's degree in computer science or a related field (e.g., software engineering, data science … prompt and AI agent design patterns Implement solutions with telemetry (Power BI, Application Insights) and run small experiments to measure business value Follow secure and compliant design, apply DLP (Data Loss Prevention), and protect company sensitive data by default Contribute to runbooks and support docs; help with incident triage and post incident reviews All applicants must have the More ❯

We are looking for Data Engineers suitable for a group of world-class investment and trading firms that are actively expanding their data engineering functions. Each environment is highly technical, research-driven, and deeply data-centric — offering the opportunity to work on systems and pipelines that directly influence investment decisions. These positions sit within core data teams, responsible for building and maintaining the infrastructure that underpins everything from quantitative research to real-time trading and analytics. You’ll work closely with developers, data scientists, and researchers to ensure clean, accurate, and reliable data is available across the business. This is a fantastic opportunity for early-career engineers (1–5 years’ experience) who want … to accelerate their development in an environment that values intellectual curiosity, technical depth, and end-to-end ownership. The Role Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems. Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources. Collaborate with researchers, technologists, and analysts More ❯

We are looking for Data Engineers suitable for a group of world-class investment and trading firms that are actively expanding their data engineering functions. Each environment is highly technical, research-driven, and deeply data-centric — offering the opportunity to work on systems and pipelines that directly influence investment decisions. These positions sit within core data teams, responsible for building and maintaining the infrastructure that underpins everything from quantitative research to real-time trading and analytics. You’ll work closely with developers, data scientists, and researchers to ensure clean, accurate, and reliable data is available across the business. This is a fantastic opportunity for early-career engineers (1–5 years’ experience) who want … to accelerate their development in an environment that values intellectual curiosity, technical depth, and end-to-end ownership. The Role Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems. Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources. Collaborate with researchers, technologists, and analysts More ❯

We are looking for Data Engineers suitable for a group of world-class investment and trading firms that are actively expanding their data engineering functions. Each environment is highly technical, research-driven, and deeply data-centric — offering the opportunity to work on systems and pipelines that directly influence investment decisions. These positions sit within core data teams, responsible for building and maintaining the infrastructure that underpins everything from quantitative research to real-time trading and analytics. You’ll work closely with developers, data scientists, and researchers to ensure clean, accurate, and reliable data is available across the business. This is a fantastic opportunity for early-career engineers (1–5 years’ experience) who want … to accelerate their development in an environment that values intellectual curiosity, technical depth, and end-to-end ownership. The Role Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems. Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources. Collaborate with researchers, technologists, and analysts More ❯

We are looking for Data Engineers suitable for a group of world-class investment and trading firms that are actively expanding their data engineering functions. Each environment is highly technical, research-driven, and deeply data-centric — offering the opportunity to work on systems and pipelines that directly influence investment decisions. These positions sit within core data teams, responsible for building and maintaining the infrastructure that underpins everything from quantitative research to real-time trading and analytics. You’ll work closely with developers, data scientists, and researchers to ensure clean, accurate, and reliable data is available across the business. This is a fantastic opportunity for early-career engineers (1–5 years’ experience) who want … to accelerate their development in an environment that values intellectual curiosity, technical depth, and end-to-end ownership. The Role Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems. Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources. Collaborate with researchers, technologists, and analysts More ❯

as the day-to-day lead on high-value client engagements, managing project delivery, timelines, and stakeholder communications. Translate complex business challenges into analytical frameworks and actionable insights using data from multiple sources. Conduct advanced quantitative analyses (e.g., marketing attribution, segmentation, predictive modeling) to uncover business drivers and inform strategy. Present findings and recommendations to senior client stakeholders in … strategy consulting, or marketing consulting, with proven client-facing experience. Strong quantitative and analytical skills, with experience in marketing mix modeling, multi-touch attribution, customer segmentation, or identity/data management platforms. A degree in Statistics, Data Science, Marketing Analytics, or a related field. Excellent communication skills, with the ability to simplify complex data into actionable … insights for diverse audiences. Proficiency in Excel and PowerPoint; familiarity with data visualization tools and statistical software is a plus. Demonstrated ability to manage multiple projects and stakeholders in a fast-paced environment. A collaborative mindset and a passion for mentoring and team development. Impact You'll Make: What's In It For you? At TransUnion you will be More ❯

we learn. The Intelligence and Investigations team supports this by identifying and investigating misuses of our products – especially new types of abuse. This enables our partner teams to develop data-backed product policies and build scaled safety mitigations. Precisely understanding abuse allows us to safely enable users to build useful things with our products. About The Role Protection Science Engineering is an interdisciplinary role mixing data science, machine learning, investigation, and policy/protocol development. As a Protection Scientist Engineer within Integrity and Investigations, you will be responsible for designing and building systems to proactively identify and enforce on abuse on OpenAI's products. This includes ensuring we have robust abuse monitoring in place for new … You will also respond to and investigate critical escalations, especially those that are not caught by our existing safety systems. This will require expert understanding of our products and data, and involves working cross-functionally with product, policy, and engineering teams. This role is based in our London office and includes participation in an on-call rotation that will More ❯

Data Engineer - GCP £750 - £800 per day 2 days in London We're working with a global healthcare and life sciences leader that's pioneering the use of AI and Machine Learning to develop advanced therapies for both existing and emerging diseases. Their mission is to make personalised treatments faster, more effective, and more accessible - and this role is … key to that vision. The team is building cutting-edge data infrastructure to power scientific and ML applications, and they're seeking a Data Engineer with strong experience developing scalable, high-quality data pipelines in the cloud. The Role You'll join a team of data scientists, bioinformaticians, and engineers working at the intersection of healthcare … and AI. Your focus will be on designing and maintaining the data pipelines that feed large-scale ML and research workflows. Day-to-day responsibilities include: Building and maintaining data pipelines using Python, SQL, Spark, and Google Cloud technologies (BigQuery, Cloud Storage). Ensuring pipelines are robust, reliable, and optimised for AI/ML use cases. Developing automated More ❯

tuned LLM. The next step is scaling the organisation as they look to move towards their Series A. Please only apply if you have a Masters + in Computer Science What you’ll do Build and fine-tune AI models (LLMs and transformer-based architectures). Work directly with customers to integrate and test new features. Develop and improve … agent framework. Gather and act on client feedback to enhance product performance. Take part in design and architecture discussions. About you Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools More ❯

tuned LLM. The next step is scaling the organisation as they look to move towards their Series A. Please only apply if you have a Masters + in Computer Science What you’ll do Build and fine-tune AI models (LLMs and transformer-based architectures). Work directly with customers to integrate and test new features. Develop and improve … agent framework. Gather and act on client feedback to enhance product performance. Take part in design and architecture discussions. About you Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools More ❯

tuned LLM. The next step is scaling the organisation as they look to move towards their Series A. Please only apply if you have a Masters + in Computer Science What you’ll do Build and fine-tune AI models (LLMs and transformer-based architectures). Work directly with customers to integrate and test new features. Develop and improve … agent framework. Gather and act on client feedback to enhance product performance. Take part in design and architecture discussions. About you Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools More ❯

tuned LLM. The next step is scaling the organisation as they look to move towards their Series A. Please only apply if you have a Masters + in Computer Science What you’ll do Build and fine-tune AI models (LLMs and transformer-based architectures). Work directly with customers to integrate and test new features. Develop and improve … agent framework. Gather and act on client feedback to enhance product performance. Take part in design and architecture discussions. About you Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools More ❯

Data Scientist (Sports Analytics Football Focus) Were excited to be partnering with a new client a rapidly growing sports data consultancy that is extending its Data Science team. This is a fantastic opportunity to join a business at the cutting edge of football analytics, where raw data is transformed into actionable insights that drive smarter More ❯

per week in the Vitality London Office. Full time, 35 hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: Cross-Functional Data Operations & Stakeholder Management Advanced Analytics & Insight Generation Technical People Leadership & Capability Growth What this role is all about: We’re looking for a proactive and collaborative Team Lead to … join our Intermediated Sales Analytics function, supporting across our Intermediates sales teams. This role acts as a key business partner embedded within the sales teams, leading the delivery of data and insight that drives performance and informs strategic decision-making.You’ll manage a team of analysts and senior analysts, ensuring the timely and accurate delivery of tactical reporting to … growth and skill enhancement Team Coordination & Operational Support Contribute to the development and maintenance of a reliable reporting infrastructure for the intermediated business area, ensuring consistency in KPIs and data processes Act as a key point of contact for stakeholders across Intermediated teams and related functions (e.g., Marketing, QA & Compliance, Finance, CRM & Data Science), supporting cross-functional More ❯

Clearance required: SC Cleared IR35 Status: Outside IR35 Start date: 01/12/2025 Pay rate: 400-500/d Front-End Developer We are forming a new Data Team to deliver a unified, user-friendly interface that consolidates dashboards, reports, and analytical outputs from across the organisation. This 'single pane of glass' will serve as the central … hub for stakeholders to explore data, monitor performance, and make informed decisions. As the Front-End Developer , you will play a pivotal role in designing and building this interface from the ground up. You'll work closely with Data Analysts, Data Scientists, Engineers, and Business Analysts to understand their outputs and translate them into intuitive, dynamic visual … experiences. Your work will directly influence how data is consumed and acted upon across the organisation. Responsibilities Design and develop a unified front-end interface that integrates dashboards, reports, models, and data pipelines into a single, intuitive view Ensure the interface adheres to accessibility standards (e.g. WCAG 2.2), enabling inclusive access for all users Optimise performance for fast More ❯

Clearance required: SC Cleared IR35 Status: Outside IR35 Start date: 01/12/2025 Pay rate: 400-500/d Front-End Developer We are forming a new Data Team to deliver a unified, user-friendly interface that consolidates dashboards, reports, and analytical outputs from across the organisation. This "single pane of glass" will serve as the central … hub for stakeholders to explore data, monitor performance, and make informed decisions. As the Front-End Developer , you will play a pivotal role in designing and building this interface from the ground up. You'll work closely with Data Analysts, Data Scientists, Engineers, and Business Analysts to understand their outputs and translate them into intuitive, dynamic visual … experiences. Your work will directly influence how data is consumed and acted upon across the organisation. Responsibilities Design and develop a unified front-end interface that integrates dashboards, reports, models, and data pipelines into a single, intuitive view Ensure the interface adheres to accessibility standards (e.g. WCAG 2.2), enabling inclusive access for all users Optimise performance for fast More ❯

Vortexa is a fast-growing international technology business founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global seaborne energy flows in real-time, bringing transparency and efficiency to the energy markets and society … as a whole. Processing thousands of rich data points per second from many vastly different external sources, moving terabytes of data while processing it in real-time, running complex prediction and forecasting AI models while coupling their output into a hybrid human-machine data refinement process and presenting the result through a nimble low-latency SaaS solution … used by customers around the globe is no small feat of science and engineering. This processing requires models that can survive the scrutiny of industry experts, data analysts and traders, with the performance, stability, latency and agility a fast-moving startup influencing multi-$m transactions requires. The Data Platform Team is responsible for all of Vortexa's More ❯

of better workflows and smarter insurance analytics. Ability to learn and adapt to new technologies quickly. Previous experience with coding (e.g., SQL, R, Python, Java) and working with large data sets is an advantage. Strong communication and presentation skills, including the ability to move between the minutiae of functional specifications and overarching business objectives with stakeholders at different levels. … Possess a BSc, MSc, or equivalent degree in one of the following disciplines or related fields: Earth/climate sciences (geology, geophysics, seismology, meteorology, etc.) Mathematics, statistics, physics, engineering, data science Risk management/insurance, actuarial science Responsibilities Moody's is seeking a dynamic and innovative Associate Director to join our Insurance Solutions operating unit as an … and implementing transformational changes to their exposure and risk management workflows. We want to take your exposure and catastrophe risk management expertise and build on it, incorporating the latest science, technologies, and analytics. With this expanded knowledge, you can apply it across many insurance customer situations for potentially huge transformation opportunities. Key responsibilities include: Workflow Migration and Transformation: Leverage More ❯

is to deliver independent, accurate, and actionable research and advisory services. We empower the world’s most innovative corporations, technology and services vendors, and investors with granular insights and data-driven analysis. Our team is a curious, collaborative group of expert analysts, data engineers, commercial specialists, creative professionals, and thought leaders working together to help clients achieve their … with a preference for top-tier universities – desirable to have a relevant MSc, MBA or PhD Priority given to technical degrees with a strong focus on AI (e.g. Computer Science, Software Engineering, Artificial Intelligence, Data Science etc.) Experience in conducting research interviews and contributing to the development of research reports Proven ability to quickly write high quality … reports for a business audience. Quantitative skills and knowledge of Excel to manipulate large data sets and apply mathematical concepts. Experience in interviewing senior individuals across product, marketing and other role types to collect business or strategic information. Demonstrable passion for AI, stays informed on market developments and emerging technologies. Proactive in identifying hot research topics, commercial opportunities and More ❯

is to deliver independent, accurate, and actionable research and advisory services. We empower the world’s most innovative corporations, technology and services vendors, and investors with granular insights and data-driven analysis. Our team is a curious, collaborative group of expert analysts, data engineers, commercial specialists, creative professionals, and thought leaders working together to help clients achieve their … with a preference for top-tier universities – desirable to have a relevant MSc, MBA or PhD Priority given to technical degrees with a strong focus on AI (e.g. Computer Science, Software Engineering, Artificial Intelligence, Data Science etc.) Experience in conducting research interviews and contributing to the development of research reports Proven ability to quickly write high quality … reports for a business audience. Quantitative skills and knowledge of Excel to manipulate large data sets and apply mathematical concepts. Experience in interviewing senior individuals across product, marketing and other role types to collect business or strategic information. Demonstrable passion for AI, stays informed on market developments and emerging technologies. Proactive in identifying hot research topics, commercial opportunities and More ❯

Partnered with a global Legal Services orgnisation who are searching for Permanent Lead Data Scientist to play a key role within the Product Function leading the development of enterprise grade Data solutions and advanced analytics capabilities. Scope of role: Play a key role to developing firms AI strategy and roadmap. Develop and implement Data Science and More ❯

for this startup, you will have the chance to: Work on cutting-edge AI and machine learning initiatives that directly impact business outcomes. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust AI solutions. Key Skills Proficiency in Python, TensorFlow, or PyTorch Experience with machine learning algorithms and frameworks Strong understanding of … data pre-processing, feature engineering, and model evaluation Familiarity with cloud services (AWS, GCP, Azure) and their AI/ML offerings Knowledge of natural language processing (NLP) and computer vision is a plus Experience 3+ years in AI, machine learning, or data science roles. Proven track record of deploying AI models into production environments. Experience with data More ❯