You will use Python, SQL, and Databricks to design and build enterprise data platforms, developing ETL/ELT pipelines and data integration solutions within a lakehouse architecture.

Wise★3.5 (42)· London

Work with Python, big data tools like Hadoop or Spark, and cloud platforms such as AWS, GCP, or Azure, collaborating with engineers on the Treasury team. Build and refine models to forecast and manage liquidity, balancing sufficiency and risk for Wise’s multi-region money movement products.

JPMorgan★3.9 (20k)· London

Principal Data Engineer at JPMorganChase, working with SQL, Python, Spark, cloud platforms, Databricks, Apache Iceberg, and distributed frameworks like Hadoop and Kafka. The role designs and builds scalable data warehouse solutions, data pipelines, and ETL processes for the firm’s portfolios. Mentors junior engineers and partners with architects on delivery roadmaps.

Wise★3.5 (42)· London

You’ll use Python, SQL, predictive ML models, recommendation systems, and A/B testing to own production-level model pipelines. Wise is a global fintech moving money across borders. In this IC role on the CRM Tribe, you’ll develop learning systems that recommend the right product to the right customer at the right moment.

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.

You'll use Zapier, Make, n8n, Python or JavaScript, APIs, SQL, and webhooks. You'll own the automation layer for influencer marketing, building workflows for discovery, onboarding, contracts, content tracking, reporting, and payments.

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.

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.

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.

Lovable★4.0 (43)· London

As the first data scientist in Lovable's new London growth team, you'll own the growth funnel end-to-end and work directly with growth engineers to ship experiments. You'll use SQL, Python, BigQuery, PubSub, Hex, and A/B testing on GCP, building the metrics and systems that drive acquisition, activation, retention, and expansion.

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.

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.

Morningstar★3.9 (185)· London

Work with Python, R, MATLAB, SQL, statistical and machine learning techniques, and AI. Build thematic and smart beta indexes for Morningstar’s Indexes New Product Development team, covering the full lifecycle from ideation to launch.

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.

Boston Consulting Group★4.2 (537)· London

You'll architect and build scalable data infrastructure using Python, SQL, Java, cloud platforms (AWS, Azure, GCP), distributed systems (Spark, Hadoop), and database technologies (RDBMS, NoSQL), designing ETL/ELT pipelines and data ingestion frameworks. BCG Expand provides data-driven business intelligence and benchmarking services to financial services firms, focusing on technology, operations, and FinTech data. As Principal Engineer, you'll lead product strategy and execution across cross-functional teams while collaborating with data scientists and senior stakeholders.

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.

You will work with Generative AI, LLMs, OpenAI, LangChain, Hugging Face, PyTorch, TensorFlow, FastAPI, Streamlit, and cloud platforms (AWS/GCP/Azure). You will design and deploy GenAI solutions—including RAG pipelines, fine-tuning, and prompt engineering—for enterprise use cases such as customer service, document automation, and knowledge retrieval on the Data Science Team at a global data and AI company.

Medpace★2.6 (271)· London

Build Shiny applications and analyze relational clinical data using R or Python, with experience in PowerBI, Tableau, or Spotfire preferred. Work on a new Clinical Informatics team at Medpace, a clinical CRO, to develop data products supporting Clinical Operation teams and study efficiency.

FDJ UNITED★4.0 (96)· London

Builds scalable ETL/ELT pipelines and modernizes a multi-cloud data platform using Python, Spark, Airflow, dbt, SQL, and AWS services (S3, Athena, Redshift). Works with Lakehouse architectures (Iceberg, Delta Lake) on an agile team.

You'll work with dbt and BigQuery, writing expert SQL and Python, using Git and CI/CD, plus AI tools like Cursor and GitHub Copilot, with experience in n8n/Zapier and Looker/Thoughtspot. You'll own the modern data stack and build data products for BCB Group, a regulated provider of crypto and fiat payment and trading services.

You'll use Python, SQL, LangChain, XGBoost, PyTorch, Hugging Face Transformers, Airflow, MLOps tooling, vector databases, and cloud services (AWS/GCP/Azure), building classical ML and LLM/RAG systems. Qogita is a B2B wholesale marketplace; the Data Science team builds the intelligence layer driving its platform.

American Express★4.1 (9.7k)· London

AI Researcher at American Express will develop advanced ML models for structured data (tabular, sequences, graphs) using transformer, reinforcement learning, and causal techniques, with Python, Spark, C/C++, Java, and Google Cloud tools like Vertex AI and BigQuery. The role sits in AI Labs within Credit and Fraud Risk, driving research into production for credit, fraud, and marketing decisions. Leadership scope is not specified.

You'll work with GCP, BigQuery, Cloud Storage, Cloud SQL, Cloud Composer, Terraform, GitLab CI/CD, Python, Striim, and Ab Initio. This 12-month contract supports a major cloud transformation and data modernisation programme delivering enterprise-scale data solutions. As Lead Data Engineer, you'll mentor and lead other engineers, though no team size is stated.

SQL, Tableau, Power BI, Looker, and bonus dbt, BigQuery, Python; you will turn raw parcel data into forecasts, optimisation models and decisions for core logistics operations at a Series A logistics scale-up.