Work with Excel, SQL, Python, R, Tableau, Power BI, and Azure AI Fundamentals. Newto Training provides a data analytics career programme with live instructor-led training, project work, and exam preparation for entry-level roles.

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.

You’ll work with SQL, Python, Snowflake, AWS/GCP, and APIs to build and evolve the firm’s cloud-based data platform, developing scalable data pipelines and integrating data to support investment decisions. You will mentor two junior Data Engineers.

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 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

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.

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.

Design, build and optimise ETL data pipelines using Databricks, PySpark, Python, and SQL for a leading global investment bank. You will work on large-scale enterprise data platforms in a fast-paced financial services environment.

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.

Work with Microsoft Fabric, Databricks, Azure, Snowflake, Python, Spark, SQL/NoSQL, PowerShell, Azure Data Factory and Azure DevOps to build a Fabric Data Lakehouse for USS’s Investment Management business, implementing scalable ETL/ELT frameworks across a medallion architecture. Share knowledge across a small team of data engineers and collaborate with architects, business stakeholders and data teams.

Develop scalable data solutions using Python, SQL, and AWS for a Hedge Fund. The team delivers critical data across a global trading and research environment, transforming raw market and alternative datasets to support investment strategies.

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.

You'll develop systematic HFT and market-making strategies in cryptocurrency markets using Python for research, signal generation, backtesting, and live performance analysis. Working with your own firm's capital, you'll own the full research lifecycle—from hypothesis to production deployment—optimising execution quality, latency, inventory risk and spread capture across global exchanges.

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.

SmartestEnergy★4.1 (15)· London

You will work with Microsoft Azure Data Platform, Microsoft Fabric, PySpark, SQL, Python, Azure DevOps, CI/CD, and Power BI to build enterprise-scale data pipelines and Data Lakehouse/Data Warehouse solutions. The team develops modern cloud-based data solutions supporting ETL/ELT processes across Medallion Architecture for SmartestEnergy’s energy digitisation and decarbonisation goals.

Swiss Re★4.0 (210)· London

Lead delivery of data products and Palantir Foundry workflows to improve underwriting decisions, using Python and SQL for data modelling and production-grade development. The Portfolio Strategy & Steering team builds analytical tools for portfolio planning, capacity setting and risk steering within Swiss Re, a reinsurance and insurance risk-transfer provider. You will lead mixed engineering, data and portfolio teams.

HCLTech★3.7 (11k)· London

You will use Azure Data Factory, Azure Databricks, SQL, Oracle PL/SQL, and Python to design, develop, and maintain data pipelines and ETL processes for large datasets. As Technical Lead, you will lead end-to-end technical implementation, optimize workflows, and mentor junior team members.

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.

Meta★4.0 (1.1k)· London

Work with SQL, ETL, data modeling, and languages like Python, C++, C#, or Scala to design scalable data solutions for Meta's family of apps (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Collaborate with engineering, data science, and product teams to optimize growth and user experience for billions of users and businesses.

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.

Petroineos★3.1 (18)· London

You will use Python, SQL, and AI tools to build fundamental supply/demand models and databases for Copper and Aluminium markets. This role supports PetroChina International London’s global non-ferrous metals trading team by delivering market forecasts, price outlooks, and actionable insights directly to traders.