Data Scientist Jobs in London, UK

<div class="content-intro"><h2><strong>About us </strong>  </h2> <p>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 of automated driving systems.</p> <p>Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  <br><br>In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.</p> <p>At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  </p> <p>Make Wayve the experience that defines your career!  </p></div><p>As a Data Scientist supporting AI engineers, you will partner with one or more engineering teams, developing actionable insights that guide improvements to the Wayve AI Driver. Using experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety, and performance of the Wayve AI Driver, helping to advance Wayve as the leader in end-to-end AI for autonomous mobility.</p> <p> </p> <p>This means you might:</p> <ul> <li>Formulate and iterate upon the performance metrics that organize our engineering efforts and guide progress toward commercial success</li> <li>Design experiments and targeted off-road measurements to ensure that we deliver product requirements to customers while maintaining safety and performance</li> <li>Investigate factors in model training and inference leading to bottlenecks in functionality and performance, identifying and validating hypotheses for unlocking improvements</li> </ul> <h2>What we are looking for in our candidate</h2> <h3>Essential</h3> <ul> <li>3+ years experience working in a Data Science role.</li> <li>Fluent in querying and building large datasets, writing production-level SQL for use in data-transformation pipelines.</li> <li>Prior experience designing robust real-world experiments (e.g. A/B) and critically evaluating test-statistics</li> <li>Foundations in the fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist stats</li> <li>Proficient in u

<div class="content-intro"><h2><strong>About us </strong>  </h2> <p>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 of automated driving systems.</p> <p>Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  <br><br>In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.</p> <p>At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  </p> <p>Make Wayve the experience that defines your career!  </p></div><p>As a Data Scientist supporting AI engineers, you will partner with one or more engineering teams, developing actionable insights that guide improvements to the Wayve AI Driver. Using experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety, and performance of the Wayve AI Driver, helping to advance Wayve as the leader in end-to-end AI for autonomous mobility.</p> <p> </p> <p>This means you might:</p> <ul> <li>Formulate and iterate upon the performance metrics that organize our engineering efforts and guide progress toward commercial success</li> <li>Design experiments and targeted off-road measurements to ensure that we deliver product requirements to customers while maintaining safety and performance</li> <li>Investigate factors in model training and inference leading to bottlenecks in functionality and performance, identifying and validating hypotheses for unlocking improvements</li> </ul> <h2>What we are looking for in our candidate</h2> <h3>Essential</h3> <ul> <li>3+ years experience working in a Data Science role.</li> <li>Fluent in querying and building large datasets, writing production-level SQL for use in data-transformation pipelines.</li> <li>Prior experience designing robust real-world experiments (e.g. A/B) and critically evaluating test-statistics</li> <li>Foundations in the fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist stats</li> <li>Proficient in u

<p>We’re looking for a Senior Data Scientist <strong>for</strong> <strong>12 months</strong> to help us accomplish our mission to improve and extend lives by learning from the experience of every person with cancer. Are you ready to be the next changemaker in cancer care?</p> <p>Flatiron Health is a healthtech company using data for good to power smarter care for every person with cancer, around the world. Flatiron partners with cancer centers in the US, Europe and Asia to transform patients’ real-life experiences into real-world evidence and create a more modern, connected oncology ecosystem. Our multidisciplinary teams include oncologists, data scientists, data analysts, software engineers, research scientists, product experts and more. Flatiron Health is an independent affiliate of the Roche Group.</p> <p> </p> <p><strong>What You'll Do</strong></p> <p>This role is part of our International Data Science team. The Data Science Team is a diverse and talented group of individuals with strong data expertise and understanding of our customers’ needs. </p> <p>Building on 10 years of experience in the US, Flatiron’s international team is scaling Flatiron’s approach in new countries. Streamlined teams in each market are establishing partnerships with local cancer care providers and developing high-quality real-world data for researchers around the world. Data Scientists are embedded in those teams and play a key role in understanding our data partners’ source data and conducting exploratory data analyses to support data-driven decision-making. They build research-grade data sets and leverage a breadth of tools, including AI, to develop approaches to enrich our data models, maximise data quality and increase efficiency and robustness of our pipelines. . </p> <p>As part of this work, you will:</p> <ul> <li>Work closely with a cross-functional team (e.g., product managers, software engineers, oncologists, clinical data specialists) to develop new real-world data products.</li> <li>Establish strong relationships with key stakeholders at our partner sites and collaborate with them to develop a deep understanding of their data and enable seamless data transfers. </li> <li>Become a subject matter expert in the format, quality, content and sources of data from our partners; develop validation approaches to ensure consistency of these sources.</li> <li>Conduct exploratory analyses to define source data ingestion approaches that meet our quality bar; define business logic to transform new source data into Flatiron’s common data model.</li> <li>Apply and validate LLM-based approaches to process unstructured electronic health record data at scale to enhance our real-world data products.</li> <li>Collaborate with software engineers to d

Principal Data Scientist at Comind. Apply via Ashby.

Senior Data Scientist (Clinical) at Comind. Apply via Ashby.

<div class="content-intro"><p>At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.</p> <p>We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.</p> <p>To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.</p> <p>Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.</p> <p>If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.</p></div><p><strong>WHAT YOU'LL DO</strong></p> <p>Our Forward-Deployed Data Scientist team is a group of creative technical experts who design and build end-to-end machine learning solutions that power 1-to-1 personalization for some of the world's leading brands. In this role, you will:</p> <ul> <li><strong>Design ML use cases from the ground up</strong> — scoping solutions that optimize for real business value, accounting for the complexity of modern marketing journeys, and proactively identifying risks to set each engagement up for success</li> <li><strong>Build and own the full ML pipeline</strong> —  taking customers' raw data through transformation, model training, and activation, so that model decisions are delivered to personalize experiences for millions of end users</li> <li><strong>Drive customer success</strong> by providing ongoing technical guidance that ensures data science performance, successful adoption and measurable outcomes</li> <li><strong>Extend product capabilities</strong> by developing features and tools that support the broader AI deployment team and scale what's possible across engagements</li> <li><strong>Partner with the Braze Product team</strong> to refine and advance Braze's reinforcement learning algorithms, pushing the self-learning capabilities of the platform forward</li> <li><strong>Shape BrazeAI product strategy and roadmap</strong> by bringing customer-facing insights and deep technical expertise to the table</li> </ul> <p><strong>Take a closer lo

Data Scientist at Almedia. Apply via Ashby.

<div class="content-intro"><p>At Hudl, we build great teams. We hire the best of the best to ensure you’re working with people you can constantly learn from. You’re trusted to get your work done your way while testing the limits of what’s possible and what’s next. We work hard to provide a culture where everyone feels supported, and our employees feel it—their votes helped us become one of <a href="https://www.hudl.com/blog/newsweek-top-100-global-most-loved-workplaces-2023">Newsweek's Top 100 Global Most Loved Workplaces</a>.  <br><br>We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication; the influence of inspiring coaches; and the opportunities to reach new heights. That’s why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more.<br><br>Ready to join us?</p> <div style="padding: 56.25% 0 0 0; position: relative;"><iframe style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border: 0;" src="https://player.vimeo.com/video/1095624224?h=9e8cdc9dbe&badge=0&autopause=0&player_id=0&app_id=58479" width="" height=""></iframe></div></div><h2>Your Role</h2> <p>We’re looking for a Lead Data Scientist to join our Global Football Metrics data science team, which is focused on delivering innovative machine learning models to keep Hudl at the cutting edge of sports analytics.</p> <p>As a Lead Data Scientist, your key responsibilities will include:</p> <ul> <li><strong>Work with a cross-functional team. </strong>You’ll collaborate with Engineering, Quality Assurance, Product, Design and Scrum disciplines to deliver cutting-edge tactical and recruitment insights.</li> <li><strong>Develop and deliver. </strong>You will have access to industry-leading data from a variety of sources, and will lead the research and development roadmap for new Global Football models and metrics.</li> <li><strong>Test new ideas. </strong>At Hudl, we iterate rapidly, deploying changes to the product hundreds of times daily across our Engineering team. In addition to working on concrete metrics, you’ll contribute to the implementation of scalable data pipelines and associated orchestration and monitoring tools.</li> <li><strong>Mentor</strong>. You’ll share your expertise and educate others on development best practices and trade-offs, setting an example in planning, designing and delivering complex projects, and maintaining high standards of statistical rigour.</li> </ul> <p>We’d like to hire someone

Senior Data Scientist - US Products at Lendable. Apply via Ashby.

Principal Data Scientist at Lendable. Apply via Ashby.

Lead Data Scientist (Non-Lending) at Lendable. Apply via Ashby.

Senior Data Scientist - UK Cards at Lendable. Apply via Ashby.

Senior Data Scientist - Single Cell & Spatial at Relationrx. Apply via Ashby.

Data Scientist – Single Cell & Spatial (12-month FTC) at Relationrx. Apply via Ashby.

Senior Data Scientist - Computational Biology at Relationrx. Apply via Ashby.