You will work with AWS, Python, SQL, ETL/ELT pipelines, data warehousing, and APIs. You will own the data platform for a company developing AI and machine learning products that help enterprise clients make decisions. You will start as a senior individual contributor with the opportunity to build and lead a future data team.

Cint★3.5 (13)· London

Use Python and SQL for statistical modeling and machine learning to optimize Cint's programmatic research marketplace (Cint Exchange). You will analyze marketplace dynamics, conduct A/B tests, and build predictive models to guide product and pricing strategy.

Hudson River Trading★4.5 (2)· London

You will work with Python, Pandas, NumPy, R, and MATLAB to apply statistical analysis and machine learning to vast quantities of market data. The team builds and maintains predictive trading models for the company's high-performance trading infrastructure. You will research, develop, and test order execution methods to increase trading efficiency.

Hudson River Trading★4.5 (2)· London

You will use Python, C++, Pandas, NumPy, R, or MATLAB to build and maintain predictive trading models. As an algorithm developer, you research and test novel order execution and model training methods, applying

Quantitative Researchers at Jane Street build models, strategies, and systems for pricing and trading financial instruments, working with Python, petabytes of data, and a large GPU cluster. They apply statistical and ML techniques, from linear models to deep learning.

FDJ UNITED★4.0 (96)· London

Build and maintain batch and streaming data pipelines on AWS using dbt, Spark, SQL, Kafka/Flink, and Airflow. Work on the Sportsbook Data Platform, a modern event-driven lakehouse transforming sportsbook data (bets, offers, etc.) into curated datasets for analytics, trading insight, and machine learning.

FDJ UNITED★4.0 (96)· London

You'll lead a DataOps/MLOps team building an ML platform and data operations capability for FDJ United's Sportsbook, working with AWS, Terraform/CloudFormation, Spark, Kafka, and CI/CD pipelines for end-to-end ML lifecycle management. The role involves establishing best practices, monitoring, and governance while collaborating with Data Engineering, ML Engineering, Quants, and Data Science teams to personalize customer experiences and manage risk.

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.

Work with SQL, Python, and modern data technologies (dbt, Spark, containers, DevOps tooling, orchestration tools, Git, AI/ML). As a Solution Engineer for the UK market, you present Snowflake’s technology and vision, working hands-on with prospects to demonstrate value through demos, proof-of-concepts, and design.

You will work with C++, Python, Linux, machine-learning libraries, Google Cloud, Airflow, InfluxDB, and Grafana. This role builds data engineering and prediction tools for systematic equity trading, developing software for quantitative research, maintaining data pipelines, and implementing large-scale computation and serialization frameworks.

You will develop signals, models, and trading strategies using Python or C++. You will design research tools, data pipelines, and apply advanced statistical methods within a small team of researchers and engineers at a systematic trading firm.

Python and/or C++, machine learning, and backtesting frameworks. The role researches and develops systematic statistical arbitrage strategies across global equity markets at a systematic multi-strategy hedge fund.

You will design, build, and optimise data platforms, pipelines, and services enabling scalable machine learning solutions across Sainsbury's DTD. You will partner closely with Data Scientists to ensure data is reliable, accessible, and production‑ready.

Société Générale★3.8 (3.8k)· London

You will use Python to build, maintain, and enhance quantitative models and analytical tools, and work with Bloomberg and FactSet. This role is on the Quant, Index & ETF Research team, developing systematic investment strategies and quantitative models across multiple asset classes.

TikTok★3.3 (342)· London

This Data Scientist role works with SQL, Hive, Python/R, and A/B testing to drive growth for TikTok Shop's EMEA commerce business. You will focus on merchant and creator strategy, business performance analysis, and optimization recommendations across product, operations, and marketing teams.

Data Idols★0.0· London

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

Snowflake★3.7 (31)· London

You'll work with SQL, Python, and modern data tools (dbt, Spark, containers, DevOps, Git) as a Solution Engineer, partnering with sales and channel teams to help customers adopt Snowflake's cloud data platform for analytics, data engineering, and AI/ML.

Snowflake★3.7 (31)· London

Work hands-on with SQL and Python, using modern data tools such as dbt, Spark, containers, DevOps tooling, orchestration tools, and Git. Present Snowflake’s cloud data platform technology and vision to executives and technical contributors, demonstrating value through demos, proofs of concept, and implementations. Partner with account sales teams and channel partners to help customers evaluate and adopt Snowflake.

Snowflake★3.7 (31)· London

Work with SQL, Python, and modern data technologies (dbt, Spark, containers, DevOps, orchestration tools, Git) to demonstrate Snowflake’s data cloud platform. You partner with account sales teams and channel partners to solve complex data challenges for UK travel customers.

Snowflake★3.7 (31)· London

This role uses SQL and Python, with experience in modern data technologies such as dbt, Spark, containers, DevOps tooling, orchestration tools, and Git. You will work with the account sales team and channel partners to present Snowflake’s data platform and vision, solving complex data challenges for customers in the UK market.

Amazon★3.5 (56k)· London

Develop generative AI and large models using Java, C++, Python, and Unix/Linux for Prime Video’s observability team, which combines log management, tracing, and AI-powered analytics to detect and diagnose issues at unprecedented speed.

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.

Work with Clickhouse, Metabase, SQL and related tooling to build and maintain data models, dashboards and machine learning models. As a Data Consultant on the intelligence team, you’ll support client-facing teams with technical data delivery and analytics for Xtremepush’s Omnichannel Customer Engagement Platform.

New Look★3.5 (2.1k)· London

The Senior Analyst will use SQL, Python, or R and data visualisation tools, applying segmentation, clustering, predictive modelling, random forest, and linear regression. They analyse customer data for New Look, a UK fashion brand with stores, website, and mobile app, to improve acquisition, retention, and loyalty.