Data Scientist Jobs in London, UK

<div class="content-intro"><p><strong>Why Sony Interactive Entertainment?</strong></p> <p>Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.</p></div><h1><span style="font-size: 12pt;">Role Overview:</span></h1> <p><span style="font-size: 12pt;">As a Data Scientist, you will help measure the impact of PlayStation's products, features and commercial initiatives through experimentation, causal inference and applied data science.</span></p> <p><span style="font-size: 12pt;">Working at the intersection of data science, machine learning, product and commercial strategy, you will apply robust analytical techniques to solve complex business problems, generate actionable insights and support evidence-based decision-making across PlayStation.</span></p> <p><span style="font-size: 12pt;">This role goes beyond traditional A/B testing. You will apply modern causal inference, statistical modelling and machine learning techniques to evaluate initiatives where controlled experiments are difficult or impossible, collaborating closely with product, engineering, analytics and business teams to deliver high-quality measurement and insights.</span></p> <p><span style="font-size: 12pt;">This is an opportunity to work on high-impact initiatives affecting millions of PlayStation players while developing your expertise in experimentation, causal inference and applied data science.</span></p> <h1><span style="font-size: 12pt;"><strong>What You'll Be Doing:</strong></span></h1> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Apply measurement methodologies across experimentation, causal inference and advanced analytics to evaluate product and commercial initiatives.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Design and execute robust measurement approaches across randomised experiments, quasi-experimental methods and observational causal inference where controlled experimentation is impractical.</span></li> <li style="font-size: 12pt

<div class="content-intro"><p><strong>Why Sony Interactive Entertainment?</strong></p> <p>Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.</p></div><h1><span style="font-size: 12pt;"><strong>Role Overview:</strong></span></h1> <p><span style="font-size: 12pt;">As a Senior / Staff Data Scientist, you will help shape how PlayStation measures the impact of products, features and commercial initiatives through world-class experimentation, causal inference and applied data science.</span></p> <p><span style="font-size: 12pt;">Working at the intersection of data science, machine learning, product and commercial strategy, you will develop innovative measurement methodologies, define best practices, and provide technical leadership that enables teams across PlayStation to make faster, more confident business decisions.</span></p> <p><span style="font-size: 12pt;">This role goes beyond traditional A/B testing. You will solve complex measurement problems where controlled experiments are difficult or impossible, applying modern causal inference, statistical modelling and machine learning techniques to generate robust business insights. You will collaborate closely with product, engineering, analytics and business teams to raise the standard of experimentation and evidence-based decision-making across the organisation.</span></p> <p><span style="font-size: 12pt;">This is an opportunity to influence strategic decisions impacting millions of PlayStation players while helping establish best-in-class measurement practices across one of the world's leading entertainment companies.</span></p> <h1><span style="font-size: 12pt;"><strong>What You'll Be Doing:</strong></span></h1> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Develop innovative measurement methodologies across experimentation, causal inference and advanced analytics that improve the quality, reliability and scalability of business decision-making across PlayStation.</span></li> <li style="font-size: 12pt;"><

Entity: Technology Job Family Group: IT&S Group Job Description: Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our amb...

Senior Data Scientist 60,000 - 75,000 London or Leicester (1 day a week in office) This is an opportunity to join a highly regarded data science function where innovation sits at the centre of decision making. Working within a specialist pricing team, you will have the freedom to explore new data sources, develop cutting-edge machine learning models, and shape how customer risk is assessed across a large-scale digital business. If you enjoy solv...

Senior Data Scientist, Pricing London| Competitive Salary up to 75,000 + Bonus + Car Allowance This is an opportunity to join a highly data-driven organisation where pricing, analytics, and machine learning sit at the heart of business strategy. You will work on innovative data science initiatives that directly influence risk assessment, pricing decisions, and commercial performance, while helping to shape the next generation of predictive model...

Data Scientist London or Leicester (2 days per week) Join a growing Data Science team where you'll build machine learning solutions that directly influence customer engagement, retention, and commercial performance. This is a highly visible role with significant stakeholder exposure and the opportunity to work on both strategic initiatives and high-impact business challenges. The Role Build and improve machine learning models focused on retentio...

Senior Data Scientist at Carwow. Apply via Ashby.

<h3 class="PDq2pG_selectionAnchorContainer" data-section-id="1u0h92b" data-start="799" data-end="836">Lead Data Scientist – Energy Domain</h3> <p data-start="838" data-end="965"><strong data-start="838" data-end="851">Location:</strong> London (Hybrid) | <strong data-start="870" data-end="888">Practice Area:</strong> Data & Analytics | <strong data-start="908" data-end="917">Type:</strong> Permanent</p> <h3 data-section-id="3i11wo" data-start="967" data-end="1033">Build the models powering the future of energy system planning.</h3> <h4 data-section-id="1hl1yo8" data-start="1035" data-end="1050"><strong data-start="1038" data-end="1050">The Role</strong></h4> <p data-start="1052" data-end="1423">Capco is seeking a Lead Data Scientist to drive the development of core analytical models within the energy sector. This is a hands-on technical leadership role, combining deep expertise in machine learning and time series modelling with the ability to lead teams, shape technical direction and deliver complex data science initiatives from concept through to production.</p> <p data-start="1425" data-end="2330">You will be responsible for leading the design, development and optimisation of advanced statistical and machine learning models that support energy planning, forecasting and strategic decision-making. Alongside technical delivery, you will manage stakeholder relationships, guide cross-functional teams across data, engineering and business domains, mentor junior data scientists, and ensure projects are delivered to a high standard using modern software engineering and MLOps practices. This role is ideal for someone who enjoys balancing hands-on model development with technical leadership, project delivery and helping others grow.<strong> </strong>You'll also embrace approved AI-enabled ways of working to enhance productivity, accelerate insight generation and improve delivery quality, while applying sound human judgement, responsible AI principles and appropriate governance throughout the model lifecycle.</p> <h4 data-section-id="1xihhvk" data-start="2332" data-end="2353"><strong data-start="2335" data-end="2353">What You'll Do</strong></h4> <ul data-start="2355" data-end="3587"> <li data-section-id="1ywxmt4" data-start="2355" data-end="2641">Utilise Python for advanced data analysis, exploration, feature engineering and data processing to uncover insights, trends and patterns, leveraging approved AI tools where appropriate to accelerate

Entity: Technology Job Family Group: IT&S Group Job Description: Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our amb...

Entity: Technology Job Family Group: IT&S Group Job Description: Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our amb...

Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you?<br/><br/>We are looking for a Data Scientist who will be responsible to develop cutting-edge scientific solutions to optimize our fulfillment strategy across multiple regions of the world (EU, JP, IN and more), to maximize our Customer Experience and minimize our cost and carbon footprint.<br/><br/>You will partner with the worldwide scientific community to help design the optimal fulfillment strategy for Amazon. You will also collaborate with technical teams to develop optimization tools for network flow planning and execution systems. Finally, you will also work with business and operational stakeholders to influence their strategy and gather inputs to solve problems.<br/><br/>To be successful in the role, you will need deep analytical skills and a strong scientific background. The role also requires excellent communication skills, and an ability to influence across business functions at different levels.<br/><br/>You will work in a fast-paced environment that requires you to be detail-oriented and comfortable in working with technical, business and technical teams.<br/><br/>Key job responsibilities<br/>- Design and develop mathematical models to optimize inventory placement and product flows.<br/>- Design and develop statistical and optimization models for planning Supply Chain under uncertainty.<br/>- Manage several, high impact projects simultaneously.<br/>- Consult and collaborate with business and technical stakeholders across multiple teams to define new opportunities to optimize our Supply Chain.<br/>- Communicate data-driven insights and recommendations to diverse senior stakeholders through technical and/or business papers.<br/>- Leverage LLMs to improve explainability of our optimization solutions and drive engagement from supply chain planners across the world.

We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry-leading language technology powering Rufus, our AI-driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey.<br/><br/>This innovative role focuses on developing conversation-based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning (ML) technologies, and experimentation to drive product decisions and optimize customer experiences.<br/><br/>Our mission in conversational shopping is to make it easy for customers to find and discover the best products to meet their needs by helping with their product research, providing comparisons and recommendations, answering product questions, enabling shopping directly from images or videos, providing visual inspiration, and more. We do this by leveraging advanced analytics, Natural Language Processing (NLP), Machine Learning (ML), A/B testing, causal inference, and data-driven insights to continuously improve our systems.<br/><br/>Key job responsibilities<br/>As a Data Scientist, you will be responsible for the analysis, modeling, and optimization of AI technologies that will shape the future of shopping experiences. You will play a critical role in measuring and improving multimodal conversational systems, in particular those based on large language models, information retrieval, recommender systems and knowledge graphs, to be tailored to customer needs. You will handle Amazon-scale use cases with significant impact on our customers' experiences. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include designing experiments, analyzing results, and launching new features, products and systems.<br/><br/>A day in the life<br/>You will:<br/>- Perform hands-on analysis and modeling of enormous multimodal datasets to develop insights into how to best help customers throughout their shopping journeys. <br/>- Use statistical methods, machine learning, and data mining techniques to create scalable solutions for measuring and optimizing shopping assistant systems based on a rich set of structured and unstructured contextual signals. <br/>- Design and analyze A/B tests and experiments to evaluate new features and model improvements, ensuring statistical rigor and actionable insights. <br/>- Develop metrics, dashboards, and reporting frameworks to monitor system performance, customer engagement, and business impact. <br/>- Build predictive models and conduct deep-dive analyses to identify opportunities for improving customer experience, conversion, and satisfaction. <br/>- Collaborate with Applied Scientists and Engineers to translate analytical insights into production systems, working closely on model evaluation and deployment. <br/>- Establish automated processes for large-scale data analysis, ETL pipelines, metric generation, and experimentation frameworks. <br/>- Communicate results and insights to both technical and non-technical audiences, including through presentations, written reports, and data visualizations.<br/><br/>About the team<br/>The Rufus Features Science team, based in London, works alongside ~150 engineers, designers and product managers, shaping the future of AI-driven shopping experiences at Amazon. The team works on every aspect of the Rufus AI, from making Rufus agentic, enabling customers to set price alerts or empower Rufus to act on their behalf and automatically purchase products when the price is right, to understanding multimodal user queries and generating answers that combine text, image, audio and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalised shopping guidance. We utilize and advance state-of-art techniques in the fields of Natural Language Processing, gen AI, Information Retrieval, Machine/Deep Learning, and Data Mining. We validate our work by actively participating in the internal and external scientific communities.

We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry-leading language technology powering Alexa for Shopping, our AI-driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey.<br/><br/>This innovative role focuses on developing conversation-based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning (ML) technologies, and experimentation to drive product decisions and optimize customer experiences.<br/><br/>Our mission in conversational shopping is to make it easy for customers to find and discover the best products to meet their needs by helping with their product research, providing comparisons and recommendations, answering product questions, enabling shopping directly from images or videos, providing visual inspiration, and more. We do this by leveraging advanced analytics, Natural Language Processing (NLP), Machine Learning (ML), A/B testing, causal inference, and data-driven insights to continuously improve our systems.<br/><br/>Key job responsibilities<br/>Key job responsibilities As a Data Scientist on our team, you will be responsible for the analysis, modeling, and optimization of AI technologies that will shape the future of shopping experiences. You will play a critical role in measuring and improving multimodal conversational systems, in particular those based on large language models, information retrieval, recommender systems and knowledge graphs, to be tailored to customer needs. You will handle Amazon-scale use cases with significant impact on our customers' experiences. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include designing experiments, analyzing results, and launching new features, products and systems.<br/><br/>A day in the life<br/>Perform hands-on analysis and modeling of enormous multimodal datasets to develop insights into how to best help customers throughout their shopping journeys. Use statistical methods, machine learning, and data mining techniques to create scalable solutions for measuring and optimizing shopping assistant systems based on a rich set of structured and unstructured contextual signals. Design and analyze A/B tests and experiments to evaluate new features and model improvements, ensuring statistical rigor and actionable insights. Develop metrics, dashboards, and reporting frameworks to monitor system performance, customer engagement, and business impact. Build predictive models and conduct deep-dive analyses to identify opportunities for improving customer experience, conversion, and satisfaction. Collaborate with Applied Scientists and Engineers to translate analytical insights into production systems, working closely on model evaluation and deployment. Establish automated processes for large-scale data analysis, ETL pipelines, metric generation, and experimentation frameworks. Communicate results and insights to both technical and non-technical audiences, including through presentations, written reports, and data visualizations.<br/><br/>About the team<br/>The Alexa for Shopping Science team, based in London, works alongside ~150 engineers, designers and product managers, shaping the future of AI-driven shopping experiences at Amazon. The team works on every aspect of the AfS AI, from making it agentic, enabling customers to set price alerts or empower AfS to act on their behalf and automatically purchase products when the price is right, to understanding multimodal user queries and generating answers that combine text, image, audio and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalised shopping guidance. We utilize and advance state-of-art techniques in the fields of Natural Language Processing, gen AI, Information Retrieval, Machine/Deep Learning, and Data Mining. We validate our work by actively participating in the internal and external scientific communities.

Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you?<br/><br/>We are looking for a Data Scientist who will be responsible to develop scientific solutions to optimize our fulfillment strategy across multiple regions of the world (EU, JP, IN and more), to maximize our Customer Experience and minimize our cost and carbon footprint.<br/><br/>You will partner with the worldwide scientific community to help design the optimal fulfillment strategy for Amazon. You will also collaborate with technical teams to develop optimization tools for network flow planning and execution systems. Finally, you will also work with business and operational stakeholders to influence their strategy and gather inputs to solve problems.<br/><br/>To be successful in the role, you will need deep analytical skills and a strong scientific background. The role also requires excellent communication skills, and an ability to influence across business functions at different levels.<br/><br/>You will work in a fast-paced environment that requires you to be detail-oriented and comfortable in working with technical, business and technical teams.<br/><br/>Key job responsibilities<br/>- Design and develop mathematical models to optimize inventory placement and product flows.<br/>- Design and develop statistical and optimization models for planning Supply Chain under uncertainty.<br/>- Manage several, high impact projects simultaneously.<br/>- Consult and collaborate with business and technical stakeholders across multiple teams to define new opportunities to optimize our Supply Chain.<br/>- Communicate data-driven insights and recommendations to diverse senior stakeholders through technical and/or business papers.<br/>- Leverage LLMs to improve explainability of our optimization solutions and drive engagement from supply chain planners across the world.

Job Title: Business &amp; Marketing Data Scientist Location: Hybrid (Tues-Thurs in office, Mon &amp; Fri remote) Remuneration: 54.81 per hour Contract Details: ASAP until 4th Dec 2026 Responsibilities: Formulate and interpret data to reach specific conclusions as a key project contributor. Scale existing solutions and create repeatable best practises, tutorials, and documentation. Write and review solution code, ensuring integration with product...

Entity: Technology Job Family Group: IT&amp;S Group Job Description: Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our amb...

Entity: Technology Job Family Group: IT&amp;S Group Job Description: Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our amb...