You'll work with 5G/6G, machine learning, large AI models, LLMs, and AIGC to develop a wireless network digital twin system for smart city logistics and last-mile applications, including performance analysis, radio propagation modelling, and network optimisation for EU/UK projects.

Use Python, SQL, graph databases, Docker, Kubernetes, and LLMs to own Kharon’s risk-propagation engine that evaluates entities in a knowledge graph and surfaces risk signals. The role spans research, data engineering, and product to evolve a production system for global security analytics.

You will own Relay’s Demand Forecasting models, working hands-on with Python, ML frameworks, and forecasting tools to predict parcel volume, weight, and size at outcode granularity out to D30. You set the technical direction for the Network squad’s forecasting engine, which drives sortation, middle-mile, last-mile, and expansion decisions. The centralised data team has ~30 people, with you acting as the senior IC anchor, mentoring a Senior Data Scientist and an Analyst.

Virtusa★3.7 (1.1k)· London

Work with Snowflake, DBT, Python, SQL, and AWS services to build enterprise data platforms. The role supports a global pharma engagement, designing scalable data solutions for advanced analytics, clinical insights, and business intelligence.

Snowflake, DBT, Python, SQL, and AWS. Leads architecture of enterprise data platforms for a global pharma engagement supporting clinical insights, business intelligence, and data governance.

Rebuild data infrastructure for a market-neutral systematic equities fund using Python, Microsoft Azure, Docker, Azure Kubernetes, Apache Airflow, and GitHub Actions for CI/CD. Work on ETL pipelines, vendor integration, and cloud-based research platforms, with relevant experience in Snowflake, Bloomberg, MSCI Barra, or Databricks. The role spans data engineering and quantitative development to transform financial data into investment signals.

Data Idols★0.0· London

You will use Python, machine learning, recommender systems, LLMs, Generative AI, conversational

Build and own the machine learning models (propensity, uplift, contact strategy) that decide who, when, how often, and on which channel (voice, WhatsApp, email, SMS) Murphy's AI agents contact debtors to maximize recovery within legal limits. Work in Python, TypeScript, AWS, and PostgreSQL; design, run, and ship A/B tests and bandits on live traffic.

Bloomberg★3.8 (1.1k)· London

You will work with Python, SQL, PySpark, Pandas, NumPy, Airflow, dbt, Kafka, Iceberg, Trino, Superset, and data visualization tools. The Entity Data team manages core entity data for over 7 million public and private companies, supporting reference data and private markets; as Data Quality Manager you define and execute the quality strategy.

Lead a data team using SQL, Databricks, Azure, Spark, and LLMs to build scalable pipelines, ETL workflows, and a Data Lake for Sharegain’s securities lending platform. The team also

Mastercard★4.0 (846)· London

You will work with LLMs, GenAI, Agentic AI, PowerBI, Qlik Sense, Tableau, AWS, Databricks, and Microsoft Azure, with Python and SQL preferred. Within Vocalink’s Data & Insights function, you will deliver data-led and AI-driven solutions for UK payment reporting and customized analytics.

Insulet Corporation★3.1 (189)· London

Work with SQL, Python, DAX, Spark, Microsoft Fabric, Databricks, CRM, ERP, AWS, and Salesforce to integrate datasets and build reporting solutions. As the Customer Care Data Lead, you will own data governance, definitions, metric logic, and quality standards for Insulet’s International Customer Care organization, which supports the company’s Omnipod diabetes product platform.

Lloyd's Register★3.7 (276)· London

The Senior Data and Insight Scientist uses SQL, Python, R, cloud platforms (GCP/BigQuery), dbt/Dataform, Git, and BI tools (Looker Studio, Tableau, Power BI) to lead analytics for the Lloyd’s Register Foundation, supporting the World Risk Poll and Global Safety Evidence Centre by transforming complex data into actionable safety insights.

BBC★4.2 (835)· London

Develop statistical and machine learning models using Python or R and SQL on a data and machine learning platform to understand audience behaviour. You will work with the 12-person Data Science team on audience measurement, forecasting, and applied ML for BBC digital products like iPlayer and News.

Design, build, and deploy GenAI and ML solutions using OpenAI APIs, RAG, Python, Databricks, Spark, Delta Lake, and AWS (S3, Redshift, Lambda). You will work on predictive models and enterprise GenAI apps for Product, Sales, Finance, Marketing, Customer Success, and Engineering, owning projects end-to-end and integrating with Salesforce and Oracle platforms.

You will work with SQL, Python, R, GCP/BigQuery, dbt/Dataform, Git/GitHub, BI tools (Looker Studio, Tableau, Power BI), and Shiny. The role provides analytical leadership for Lloyd’s Register Foundation’s evidence‑led safety mission, supporting flagship programmes including the World Risk Poll and the Global Safety Evidence Centre.

Work with Python, Pandas, NumPy, Scikit-learn, SQL, LLMs, RAG, and MLOps to design, build, and deploy enterprise-scale AI/ML solutions improving operational efficiency, service resilience, and customer outcomes at LSEG, a global financial markets infrastructure and data business.

You will use SQL, Python or R to build statistical and machine learning models on the BBC’s data platform. You will join a team of around 12 Data Scientists analysing audience behaviour, improving audience measurement and supporting strategic decisions across BBC digital products like iPlayer and Sounds.

Lloyd's Register★3.7 (276)· London

You will work with SQL, Python, R, GCP/BigQuery, dbt or Dataform, Git/GitHub, and BI tools like Looker Studio, Tableau, or Power BI. You will provide analytical leadership across Lloyd’s Register Foundation, supporting flagship programmes including the World Risk Poll and the Global Safety Evidence Centre. In this senior individual contributor role, you will lead high-quality quantitative analysis and translate findings for non-technical audiences.

Design and develop next-generation Vision Transformers and multimodal LLMs using PyTorch. Work on multimodal alignment, representation learning, and large-scale distributed training for image, video, audio, and text datasets. Join a research organization advancing multimodal AI and embodied intelligence.

LSEG★3.7 (402)· London

You will use Python (Pandas, NumPy, Scikit-learn), SQL, cloud-based MLOps platforms, and Generative AI/LLM/RAG tools to build predictive models and AI solutions that improve operational efficiency, service resilience, and customer outcomes for LSEG's financial markets infrastructure.

Databricks★3.0 (21)· London

You will work with Python, Scala, JavaScript/TypeScript, Apache Spark, and cloud ecosystems (AWS, Azure, GCP) to build production-grade data and AI solutions on the Databricks platform. In this hands-on role, you lead architecture and design decisions while embedding with customer teams to deliver end-to-end data pipelines, ML/AI models, and user-facing applications.

Corpay★3.0 (944)· London

You will work with Python, pandas, NumPy, scikit-learn, SQL, LLM/agentic AI/RAG systems, and cloud platforms (AWS, GCP, Azure). You will support the Data Science team in developing predictive models, machine learning workflows, and agentic LLM-based tools for Corpay’s commercial payments business.

Design and build production-grade ML systems using MCP servers, recommendation systems, RAG pipelines, LLMs, and foundation models with Python, TensorFlow, PyTorch, FastAPI, and LangChain. You will own the end-to-end AI lifecycle for a sales data platform, deploying models into batch/real-time environments to drive forecasting, segmentation, and early warning systems. This role focuses on embedding context-aware intelligence into decision-making tools for business stakeholders.

You will work with Snowflake, BigQuery, Redshift, SQL, data modeling, and version-controlled transformations, using LLMs as a daily tool. Legl builds the operating system for modern legal services, replacing manual workflows with intelligent software for client onboarding, compliance, payments, risk and reporting.