Can you distinguish genuine incremental growth from value simply shifting elsewhere? Do you use causal inference to explain why customer behaviour changes, rather than just predict what happens next? Would you like to help build a brand-new Data
Why Sony Interactive Entertainment? 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
Sony Interactive Entertainment is seeking a Data Scientist to influence PlayStations product and commercial success. This role involves applying causal inference, machine learning, and rigorous analytical techniques to solve complex business problems. You will design measurement methodologies, collaborate
Why Sony Interactive Entertainment? 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
Sony Interactive Entertainment in London is seeking a Data Scientist to measure the impact of PlayStation products through experimentation, causal inference and applied data science. You will work at the intersection of data science, product and commercial strategy
SENIOR PRODUCT MANAGER - TECH, EXPERIMENTATION & FAILURE COMPANY: STEVEN.COM REPORTING TO: CITO LOCATION: LONDON ABOUT STEVEN.COM Steven.com is building the operating system for the creator economy, forecast to pass a trillion dollars by the early
AI ACCELERATOR Most diseases are still poorly understood at a biological level. Despite decades of research, the causal mechanisms driving many conditions remain unclear, limiting our ability to identify the right targets, design the right interventions and
About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience
Company Description We’re ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too.
Company Description Were ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too.
Minimum qualifications: Masters degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases
Minimum qualifications: Currently enrolled in a PhD program in Statistics, Biostatistics, Computer Science, Mathematics, Operations Research, or a related technical field involving experimental design and quantitative analysis of experimental data, and in your penultimate year of
Company Description Syngenta Crop Protection is a leader in agricultural innovation, bringing breakthrough technologies and solutions that enable farmers to grow healthy and nutritious food while taking care of the planet. We offer a leading portfolio
About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety
Fospha is dedicated to building the worlds most powerful measurement solution for online retail. For over a decade, weve helped teams make smarter decisions with full-funnel marketing insights, forecasting, and optimisation. With Fospha, every team moves
Fospha is dedicated to building the worlds most powerful measurement solution for online retail. For over a decade, weve helped teams make smarter decisions with full-funnel marketing insights, forecasting, and optimisation. With Fospha, every team moves
Job TitleManager, Medical Analytics, R&D Job Description Manager, Medical Analytics, R&D (London) We are a global life reinsurer operating in Europe, Asia, Australia and North America, and are part of Pacific Life, a mutual insurance group.
Machine Learning Engineer - Growth & Personalisation Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Global Engineering teams tackle complex technical
Company Description Technology at Primark Our technology team is actively shaping the next wave of advancements. Engaged with innovative initiatives, your expertise will propel our business into the future. Collaborating with a creative team of tech
Location: London or Nottingham, Hybrid (two days per week in office) Salary: From £70k+ & 10% discretionary bonus Level: Senior-level technical leadership role, with responsibility for advanced analytics capability and management of a small team of