Wise★3.5 (42)· London

A Lead Data Scientist will work with Python, SQL, and machine learning models (classification, propensity, churn, next-best-action) using gradient boosting, neural networks, or linear models. They will design data pipelines and ML infrastructure for Wise’s Marketing CRM team, building recommendation systems to personalize customer communications. This individual-contributor role involves developing production models, running A/B tests, and influencing product strategy.

Citi★3.9 (21k)· London

You will work with C++, C#, .NET, Java, Python, kdb, and SQL to develop analytics libraries and pricing models using Monte Carlo methods and PDE solvers. The role focuses on creating quantitative models for Citi’s cross-asset XVA and capital analytics, supporting trading business pricing and risk-management. You will collaborate with Traders, Structurers, and technology professionals.

You'll work with Python, NumPy, SciPy, Pandas, PyTorch, JAX, and deep learning frameworks to build models using operator learning, geometric deep learning, or generative models. PhysicsX is building an AI-driven simulation software stack for multi-physics engineering and manufacturing across aerospace, energy, and other advanced industries.

Wise★3.5 (42)· London

You will work with Java, Spring Boot, AWS, Apache Kafka, and potentially Trino. The Pricing Core team builds and maintains the main pricing platform that enables Wise to price its products, processing over 100 million requests daily across critical paths.

JPMorgan★3.9 (20k)· London

Work with KDB, Q, AWS, and optionally Terraform, Kubernetes, Python, C, C++, or Java. Develop and maintain applications storing large Options data sets for real-time and historical access within JPMorgan’s Equities Trading Data & Analytics team, migrating to AWS and re-architecting systems.

Work with Snowflake, dbt, Python, and SQL to transform and model data, build data workflows, and automate processes. You’ll join the Python Infrastructure team at Lendable, a fintech building credit and savings products.

You'll work with Python, SQL, Snowflake, and dbt to transform and model data, build data workflows, and automate processes. This role sits on the Python Infrastructure team at Lendable, a fintech building technology to help people get credit and save money.

You'll work with Python, SQL, Snowflake, and dbt to transform and model data, build data workflows, and automate processes. The role sits on the Python Infrastructure team at Lendable, a fintech company rebuilding consumer finance products like loans, credit cards, and car finance.

Design and build scalable data pipelines using Python, Scala, Spark, PySpark, Azure Data Factory, Databricks, and Delta Lake. You’ll develop reusable platform components and templates that enable data scientists and engineers across product teams (Forecasting, Recommendations, Marketing, etc.) to deliver high-quality, production-ready data solutions.

Allianz★3.8 (3.4k)· London

You'll build production data/ML systems using Python, Docker, Kubernetes, Terraform, Azure, Azure DevOps or GitHub Actions, plus SQL, PySpark, dbt, and Microsoft Fabric. Joining a small agile team, you'll deliver real-time API endpoints serving 10M+ daily requests and evolve cloud infrastructure and

Develop novel machine-learning methods for molecular and protein discovery, using Python, PyTorch, graph neural networks, transformers, and diffusion models. Working at a life science technology company, the role involves research with engineering proximity, translating ideas into practical tools for scientific discovery. Preferred experience includes 3D and geometric deep learning, molecular generation, and protein modelling.

You will work with Python, PyTorch or JAX, Docker, CI/CD, and cloud platforms to deploy ML models for protein design. The team builds scalable infrastructure for training, inference, and evaluation across molecular and protein datasets, taking research prototypes into production.

Barings★3.8 (43)· London

This Senior Associate role on the Quantitative & Risk Analytics team uses Python, SQL, Excel, and PowerBI to build and maintain quantitative ESG overlays for Barings’ public and private portfolios. You will produce ESG analytics and reporting, develop portfolio overlay strategies for decarbonization mandates, and partner with data vendors and internal teams to improve data quality.

Imperial College London★4.2 (238)· London

You will work with R, Python, Stata, or SAS; SQL; cloud-based or high-performance computing; and Bayesian methods. The Misra Group uses large-scale real-world datasets to investigate metabolic dysfunction in type 1 diabetes and develop clinical risk prediction models for individualised care.

ZS Associates★3.5 (460)· London

Work with Python, R, SQL, or cloud technologies to analyze scientific, clinical and commercial data and support drug discovery decisions. You help pharmaceutical and biotech clients design R&D strategies, accelerate innovation and improve drug development processes as part of ZS's R&D and Drug Development team.

In this Senior Data Engineer role on the Scalable Growth team, you will work with Python, dbt, Airflow, Kafka, Trino, and Iceberg to build high-volume streaming and batch data pipelines. The Marketing Platform team owns the data infrastructure, internal tools, and third-party integrations (e.g., Meta, Google) that power Wise’s global customer acquisition channels.

Allianz★3.8 (3.4k)· London

Use Docker, Kubernetes, Terraform, Azure, Azure DevOps, and Python to build and maintain production-ready data and ML systems, including real‑time API endpoints serving 10M+ daily requests. You will join a small stream‑aligned agile team that develops cloud‑based infrastructure and automated deployment pipelines.

Atlassian★3.9 (61)· London

Leads a team of forward-deployed engineers building AI-powered solutions with Python, JavaScript, APIs, microservices, and LLMs. The team partners directly with top organizations to apply Atlassian’s AI capabilities to solve real-world problems.

EXL Service★3.7 (2k)· London

You will work with Generative AI tools (OpenAI, LangChain, Hugging Face, Vertex AI, Bedrock), LLMs, vector databases (FAISS, Pinecone, ChromaDB), and Python frameworks (Transformers, PyTorch, scikit-learn). As part of EXL’s Data Science Team, you’ll build and deploy GenAI solutions for enterprise use cases such as customer service, document automation, summarization, and knowledge retrieval.

Stanley David and Associates★2.3 (3)· London

Work with Snowflake, GitHub, Octopus Deploy, SQL, Python, PowerShell, Shell scripting, and cloud platforms (Azure, AWS, or GCP). Lead design, implementation, and deployment of cloud-based data platforms, including CI/CD pipelines and ELT/ETL processes. Mentor developers and provide technical leadership across project teams.

EPAM Systems★3.8 (703)· London

You will lead the design and optimization of scalable cloud-native data architectures using Azure Databricks, PySpark, Delta Lake, and Delta Live Tables, with Azure-native services like Data Factory and Synapse, plus CI/CD tools (Terraform, GitHub Actions). The team builds large-scale data platforms and ETL/streaming pipelines following Lakehouse principles, driving modernization and AI initiatives. As tech lead, you mentor engineers and define data strategies.

Junior Software Engineer role supporting in-house fund management tools for Legal & General's Index Analytics team, using Python (pandas, OOP), SQL (PostgreSQL, Snowflake), git/GitHub, and supporting CI/CD pipelines. The work covers portfolio performance analysis, process automation, and data pipelines for fund managers. Exposure to JavaScript, Flask/FastAPI is helpful.

You will work with AWS, Python, Kafka, Kubernetes, gRPC, Terraform, CloudFormation, Docker, and CI/CD tools like Jenkins or GitHub Actions. AeroVect builds autonomous ground-handling systems for airlines, and you will own the cloud infrastructure and data pipelines that power their real-world deployments.

Millennium Management★3.8 (21)· London

You will work with Python, Linux, SLURM, Kafka, Solace, Pulsar, Memcache, Redis, Datadog, ELK stack, SQL, NoSQL, Kdb, Docker, and Kubernetes. The EQRT Services team develops high-performance real-time analytics and portfolio management platforms for intraday trading, risk assessment, and backtesting.

You'll design and build real-time data pipelines using dbt, Apache Airflow, Cube.js, and Python, integrating Salesforce, CDP, and customer data sources for a performance-driven affiliate marketing platform connecting brands with consumers. The role involves owning the semantic layer, ensuring data quality and pipeline reliability, and mentoring junior engineers on a growing technology team.