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.

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.

You will work with Klaviyo for automation, segmentation, and campaign building, plus AI tools for copy generation and performance optimization. Foxelli Group builds D2C e-commerce brands generating over $20M annually, and you will execute and automate email marketing campaigns across those brands.

You will work with Python, PyTorch, TensorFlow, and causal inference tools (DoWhy, EconML, CausalML) to build production AI pipelines, APIs, and microservices. You will design and deploy behavioural, sequential, and causal AI models into Digital Twins, agentic decision engines, and intelligent automation. No team size is specified.

You'll work with Python, SQL, and cloud environments to build production-grade ML solutions. The company redefines user acquisition for major brands, rewarding a 60M+ user community for engaging with products. You'll lead end-to-end ML delivery, architect real-time personalized reward schemes, and apply statistical methods.

John Lewis & Partners★3.8 (3k)· London

You will work with SQL, Python, R, Adobe Analytics, Contentsquare, Amplitude, Tableau, Looker, and Dovetail to generate digital trading insights. This individual-contributor role sits within the John Lewis & Partners retail business, where you will deliver commercial insights to senior stakeholders to improve P&L performance. No team size or scope is stated.

Flo Health★4.8 (26)· London

Lead a team of 6+ ML and backend engineers building production ML systems with TensorFlow, scikit-learn, CatBoost, and MLOps. You'll own Flo’s predictive lifetime value (pLTV) models, stand up Marketing Mix Modeling (MMM), and develop real-time campaign optimization algorithms to drive user acquisition strategy for the world’s #1 health and fitness app.

Moneyfarm★4.5 (2)· London

Uses Salesforce Marketing Cloud (Data Extensions, Journey Builder) and SQL to design CRM campaigns (email, push, in-app) for Moneyfarm’s Pension business vertical, a pan-European digital wealth manager. The role owns the full lifecycle of marketing automations and advanced segmentation.

On Ag★2.9 (7)· London

Work with Python, PyTorch, JAX, TensorFlow, GCP/AWS, Kafka, and MLOps to build real-time personalization and recommendation engines. Lead data science initiatives that design, train, and deploy customer-level algorithms for On’s global D2C/e-commerce platform.

You will work with Python, PyTorch, JAX, TensorFlow, GCP/AWS, Kafka, and end-to-end MLOps to build and deploy batch and real-time machine learning models. As a Principal Data Scientist at On, you set the strategic direction for personalization and customer algorithms that directly impact the global D2C customer experience across web, app, and messaging.

Tripadvisor★3.9 (142)· London

You will lead ML strategy and execution for the core discovery engine powering search, retrieval, ranking, and recommendation systems, working with Python, TensorFlow, PyTorch, Spark, Ray, and AWS/GCP. You will mentor a high-performing team of scientists and bridge AI research with production-grade engineering for multi-task ranking, sequential user modeling, and graph-based travel recommendations.

Work with Bird CRM, Sparkpost, AWS, Amazon Redshift, SQL, REST APIs, webhooks, HTML/CSS, and templating languages (Liquid/Handlebars) to build and optimize multi-channel lifecycle automation (Email, Push, In-App) and own data flows for eFinancialCareers, a global financial services careers platform connecting talent with employers.

PlayStation★3.8 (164)· London

Apply Python, SQL, and causal inference methods including quasi-experimental designs and ML alongside tools like Databricks, Snowflake, Git, Airflow, Tableau, Domo or Power BI. As part of PlayStation’s data science team, you will measure the impact of products, features and commercial initiatives through experimentation and causal inference.

PlayStation★3.8 (164)· London

You'll work with Python, SQL, Databricks, Snowflake, Git, Airflow, Tableau, Domo, Power BI, and AI/LLM tools to develop measurement methodologies in experimentation, causal inference, statistical modelling and machine learning. The role shapes how PlayStation measures the impact of products, features and commercial initiatives through world-class experimentation and causal inference. You will provide technical leadership across multiple product and commercial domains, mentoring analysts and data scientists.

You will lead personalization, ranking, recommendation, search-relevance systems, experimentation (A/B testing, causal inference), and generative AI (LLMs, RAG, agentic experiences) at Tripadvisor Experiences. You own the ML strategy and technology for the marketplace that helps travelers discover and book tours and activities. You will lead and grow a unified ML organization through a layer of managers and senior scientists.

You will use Python, SQL, Databricks, Snowflake, Git, Airflow, Tableau, Domo, Power BI, and LLMs. The role develops experimentation, causal inference, and measurement methodologies to help PlayStation teams make data-driven business decisions on product features and commercial initiatives. No team size is specified.

You will apply Python, SQL, causal inference, statistical modeling, and machine learning to measure the impact of PlayStation's products, features, and commercial initiatives. Your work includes designing experiments and quasi-experimental studies, collaborating with product and engineering teams, and developing reusable analytical solutions. Preferred tools include Databricks, Snowflake, Git, Airflow, and Tableau.

You'll work with Bird CRM, Sparkpost, AWS/Redshift, SQL, REST APIs, webhooks, and templating languages (Liquid/Handlebars). You'll architect multi-channel lifecycle automation (Email, Push, In-App) and own data flows to personalize candidate journeys for eFinancialCareers' global financial services careers marketplace.

You’ll work with Python, SQL, R, PowerBI, Tableau, and Google Analytics. As part of VML’s Data & Analytics team, you’ll deliver measurement and insight projects across digital and marketing activities, including dashboards and customer analyses, to help clients optimize their marketing.

You will use Python, SQL, machine learning, and causal inference methods to measure the impact of PlayStation products, features, and commercial initiatives through experimentation and advanced analytics, collaborating with product, engineering, and business teams to support evidence-based decision-making.

You will use Python, SQL, Databricks, Snowflake, Git, Airflow, and BI tools to develop measurement methodologies in experimentation, causal inference, and machine learning. You will help PlayStation measure the impact of products and features, influencing strategic decisions for millions of players.

Build the mobile buyer experience for a marketplace that uses proprietary AI models for item grading and discovery, working with React Native and integrating into native platform code. You will own the core marketplace app (browsing, discovery, purchasing) and work to reduce crash rates and optimise performance. The role sits on a small, senior Demand team within a Series-B company building AI-powered infrastructure for secondhand commerce.

Expedia Group★3.8 (1.2k)· London

You will use SQL, Python, and machine learning/LLM techniques to build analytics pipelines and support Expedia’s Localization product. As a senior individual contributor, you will design A/B and causal experiments, create self-serve dashboards, and mentor data scientists. The role focuses on driving data-informed decisions for product development on the Content Product Analytics team.

Barclays★3.9 (6.9k)· London

Use machine learning, statistical modelling, data pipelines, and dashboards to analyse customer behaviour and digital journey performance. You will support Barclays Wealth Management’s feature teams by turning data into recommendations for improving client digital experiences.

HeliosX★3.5 (19)· London

You'll work with Snowflake, Hex, Claude, and MLFlow or SageMaker in Python to build and deploy clinical prediction, risk stratification, and treatment-optimization models for a digital healthcare platform that personalizes patient journeys.