Data Scientist at Trainline | London

Who We Are Dataseat, a proud member of the Verve Group since July 2022, was founded by industry pioneers David Philippson and Dr. Paul Hayton. Our mission is to revolutionize how app marketers manage their programmatic media campaigns. We offer a cutting-edge Bidder or DSP as a service, empowering app marketers to take control of user acquisition and re-engagement through in-house programmatic media buying. Our comprehensive analytics provide clients with crucial insights on fraud, attribution accuracy, and incrementality, supporting marketers in building their in-house business case and optimizing their media strategy. Discover more at www.dataseat.com.

Join our dynamic team at Faculty as a Data Scientist, where your analytical prowess will help drive impactful decisions across various sectors. In this role, you'll leverage advanced statistical techniques and machine learning algorithms to extract insights from complex datasets, delivering actionable recommendations to stakeholders. Collaborate with cross-functional teams to innovate and optimize data-driven solutions that enhance our clients' operational efficiency.

Join Abound, a forward-thinking company dedicated to leveraging data to drive innovative solutions. As a Data Scientist, you will play a crucial role in analyzing complex datasets, developing predictive models, and transforming data into actionable insights. Collaborate with cross-functional teams to enhance our products and services, ensuring that data-driven decisions are at the forefront of our strategy.

Join our dynamic team at Intercom as a Senior Data Scientist, where you will leverage your analytical expertise to drive data-driven decisions and contribute to our innovative product development. In this role, you will collaborate with cross-functional teams to build models that enhance user experiences and optimize our services.

Join Us in Empowering the UK’s Small Businesses At Funding Circle, we believe that small businesses are the backbone of the economy. Our innovative platform accelerates access to funding, allowing businesses to secure the capital they need in just minutes.We blend the agility of a fintech start-up with the security of a public company, empowering our team members—affectionately known as Circlers—to take ownership and drive impactful outcomes.Our high-performing culture is built on collaboration and support. We challenge one another, uplift our peers, and thrive as a united force to achieve meaningful results.Real Impact: Last year, the companies on our platform contributed £7.2bn to the UK economy Come join a mission that truly matters![View Our Impact Report] | [Check Our Trustpilot]The Role London (Hybrid) | 3 Days in the Office | Competitive Salary + BenefitsWe are seeking a Senior (Lead) Data Scientist to join our team as we innovate and refine our next generation of models. Your contributions will be crucial in developing, implementing, and monitoring these models to create substantial value for the business.As a member of the Decision Science team, you will engineer advanced statistical and machine learning models while collaborating with data engineers, analysts, and business stakeholders. You will enhance existing models and have the opportunity to create entirely new models as we expand our borrower products.Develop innovative statistical and machine learning models for commercial lending productsMaintain a strong focus on delivering tangible business outcomes and proactively challenge established normsProvide technical mentorship and guidance to junior team members throughout the model development processAdvise the team on best practices for risk managementOversee the experimentation framework for optimizing models

Join ravio as a Senior Data Scientist and lead innovative projects to harness the potential of big data. You will work closely with cross-functional teams to extract valuable insights, develop predictive models, and enhance data-driven decision-making processes. This role offers an exciting opportunity to impact our data strategy and drive meaningful change.

Join Entain, a global leader in sports betting and gaming entertainment, as a Senior Data Scientist. In this pivotal role, you will leverage cutting-edge analytics and machine learning techniques to drive data-driven decisions that enhance our customer experience and optimize business operations.Your expertise will be critical in developing predictive models, conducting complex data analyses, and collaborating with cross-functional teams to implement data strategies that support our ambitious growth objectives.

Why Join Faculty?Founded in 2014, Faculty is at the forefront of artificial intelligence, believing it to be the defining technology of our era. With a proven track record, we have partnered with over 350 global clients to enhance their performance through human-centric AI solutions. Discover our impact here.We prioritize genuine innovation over fleeting trends. Our commitment to responsible AI enables us to deliver solutions that drive significant results. Our extensive expertise spans across various sectors, including government, finance, retail, energy, life sciences, and defense.As our business continues to expand rapidly, we seek individuals who possess intellectual curiosity and a passion for leveraging technology to create a lasting positive impact.Join us in harnessing the power of AI to redefine its applications and make a tangible difference.About Our TeamThe Frontier TM product represents our bold ambition to create an enterprise-grade platform that integrates decision intelligence and AI Agents, optimizing critical processes in large organizations. You will tackle complex challenges within the real economy, focusing especially on healthcare and life sciences.Your RoleAs a Senior Data Scientist on the Frontier team, you will shape the future of our Decision Intelligence Platform by developing AI-powered digital twins that enhance organizational decision-making. This entrepreneurial role involves solving intricate problems while enabling enterprise users to leverage state-of-the-art AI technologies. You will combine scientific rigor with a business-oriented mindset to advance our AI Agent and Decision Hub capabilities.Key Responsibilities:Designing and Building: Create agents for high-stakes environments, ensuring that outputs meet rigorous validation standards.Data Analysis: Conduct exploratory data analysis, model development, validation, and performance monitoring.Leadership: Guide data science initiatives within cross-functional delivery teams, collaborating with engineers, designers, and business stakeholders.

Why Join Faculty?Founded in 2014, Faculty believes that AI is the defining technology of our era. We have successfully partnered with over 350 global clients to enhance performance through human-centric AI solutions. Discover our real-world impact here.We prioritize innovation over hype, focusing on creating and implementing responsible AI that truly makes a difference. Our extensive expertise spans various sectors, including government, finance, retail, energy, life sciences, and defense.As our business and reputation continue to expand rapidly, we are eager to recruit individuals who are intellectually curious and passionate about building a positive legacy through technology.Join us in leveraging AI’s transformative power to revolutionize decision-making processes in critical fields.About the TeamThe Faculty Frontier™ product represents our ambitious goal of developing the first enterprise-grade platform that integrates decision intelligence with AI agents to optimize key processes in large organizations. You will tackle complex challenges with a focus on healthcare and life sciences.Role OverviewAs a Senior Data Scientist, you will play a pivotal role in shaping our Frontier Decision Intelligence Platform. You will lead the design and implementation of AI-powered digital twins that redefine organizational decision-making. Working within cross-functional teams, you will blend technical prowess with commercial insight to address intricate customer challenges. This is also an opportunity to mentor emerging talent while delivering impactful, production-grade AI solutions in a dynamic and entrepreneurial setting.

Join Our Data & Science OrganizationAt Deliveroo, we pride ourselves on having a premier data science team dedicated to enhancing the quality of decision-making, both human and machine. Our data scientists collaborate across various departments, including product, business, and platform teams, employing techniques such as analysis, experimentation, causal inference, and machine learning. We leverage data to drive better decisions and enhance data literacy throughout the organization.As a Senior Data Scientist, you will be part of a vibrant community that fosters continuous learning through guest lectures, study groups, mentorship programs, and a rigorous technical review process. Our career paths allow data scientists to advance as technical leaders or people managers, depending on their aspirations.We welcome candidates from diverse backgrounds, all united by a commitment to excellence in data science. Our dedicated diversity committee ensures that we celebrate differences and promote inclusivity within our team.Your primary objective will be to maximize business impact in various areas, tackling critical questions such as:Which markets or cities should we expand into next?How can we encourage positive behavior among our riders?What effect do our exclusive restaurant deals have?How can we optimize our compensation policies to ensure customer satisfaction?What trade-offs should we consider between growth and profitability?How should our pricing strategy vary based on distance and market?What is the ideal selection and variety of restaurants in a specific area?How can we enhance our consumer app to better serve grocery shoppers?The work you do will have a tangible and direct influence on the company's bottom line.

About QuantiumQuantium stands as a global frontrunner in data science and artificial intelligence. Founded in Australia in 2002, our diverse team of over 1,200 professionals operates across 14 locations, combining innovative product and consulting services to empower businesses in extracting value from their data and analytics. We collaborate with some of the largest corporations worldwide to create a smarter, more efficient future.Our Quantium Health UK division specializes in delivering cutting-edge AI, analytics, and digital consulting services tailored for clients in Health, Life Sciences, and HealthTech. Our mission is to leverage data's potential to enhance health outcomes for patients and healthcare providers. As a Data Scientist, you will engage with clients to address their specific needs, develop impactful use cases, utilize advanced analytics and machine learning techniques, and spearhead AI product innovations. Join us during this exhilarating phase of growth and work on transformative projects that make a difference.

About the Role Utility Warehouse is looking for a Data Scientist to join the team in London. This position focuses on analyzing large and varied data sets to uncover insights that support business decisions. The Data Scientist will work closely with colleagues from different departments to build predictive models, run experiments, and strengthen the company’s analytics practice. What You Will Do Analyze complex data sets to identify trends and patterns Develop and refine predictive models Collaborate with teams across the business to support data-driven projects Design and conduct experiments to test hypotheses and improve outcomes Help advance Utility Warehouse’s overall data analytics capabilities Location This role is based in London.

About Checkout.com Checkout.com helps businesses process payments smoothly, supporting companies such as eBay, ASOS, Klarna, Uber Eats, and Sony. The company operates behind the scenes to make global transactions efficient and reliable. Headquartered in London, Checkout.com maintains 19 offices on six continents. Teams focus on performance and innovation, aiming to shape the future of digital payments. Role Overview: Product Data Scientist The Product Data Scientist works within a cross-functional group that includes product managers, designers, and engineers. Insights from data help guide product strategy and define success metrics. Responsibilities include designing dashboards and reports, conducting analyses to spot opportunities for product improvements, and collaborating closely with the team to deliver on product goals. Data Analytics at Checkout.com supports business objectives at every level. In this role, a network of Analytics Engineers and Data Product Managers provides support to help drive growth and impact. Main Responsibilities Lead analytics for a product area: define, measure, and present key metrics, delivering insights that inform decisions. Use data to recommend updates to product roadmaps and identify opportunities for meaningful improvements. Work with Data Analytics and Software Engineering teams to ensure data is collected and modeled to support business insights. Promote a strong data culture within product teams, encouraging innovation and data literacy. Location This position is based in London.

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. We have partnered with over 350 clients globally to revolutionize their operations through human-centered AI. Discover our tangible impacts here.We prioritize innovation over trends, developing and implementing responsible AI solutions that drive significant results. Our expertise spans technical, product, and delivery domains, serving clients in government, finance, retail, energy, life sciences, and defense sectors.As our company and reputation rapidly expand, we seek individuals who possess intellectual curiosity and aim to forge a positive technological legacy.Join us and explore the transformative potential of AI, empowered to realize its most impactful applications.About Our TeamOur Retail and Consumer specialists are committed to assisting clients in an industry undergoing rapid technological advancements and shifting consumer expectations. With over a decade of experience in Applied AI, we merge exceptional technical skills with delivery expertise, empowering businesses to adapt and excel.About the RoleIn the role of Lead Data Scientist, you will take on a crucial, entrepreneurial position as a technical expert who excels in navigating complexity and driving commercial impact. You will set the technical vision and guarantee the effective, scalable delivery of our most challenging, high-stakes projects. This role combines profound machine learning knowledge with strategic oversight, allowing you to define project roadmaps, manage technical risks, and architect dependable solutions. Your mission will be to spur innovation, mentor cross-functional teams, and actively influence our technical standards and long-term client relationships.Your Responsibilities:Establishing the technical direction for intricate, business-critical projects while adeptly managing trade-offs between speed, innovation, and reliability.Designing and executing robust, production-ready technical solutions.

CoreWeave is The Essential Cloud for AI™. Constructed for innovators by innovators, CoreWeave offers a cutting-edge platform filled with technology, tools, and expert teams that empower visionaries to create and expand AI solutions confidently. Renowned by top AI labs, startups, and global enterprises, CoreWeave merges exceptional infrastructure performance with profound technical knowledge to propel advancements and convert computational power into actionable capabilities. Established in 2017, CoreWeave became a publicly traded entity (Nasdaq: CRWV) in March 2025. Discover more at www.coreweave.com. We take pride in being a Living Wage accredited employer. What You’ll Do:The Monolith Data Science team is on a mission to develop a layered reliability platform that transitions CoreWeave from reactive troubleshooting to proactive reliability engineering. This platform encompasses telemetry ingestion, feature engineering, anomaly detection, failure prediction, and distributed straggler detection, alongside agentic root cause analysis. We work closely with Fleet, Infrastructure, and AI Platform teams to enhance cluster reliability, boost effective utilization (MFU), minimize MTTR, and safeguard uptime and revenue.About the role:As a Data Scientist, you will create sophisticated statistical models and machine learning strategies to maximize GPU utilization, optimize workload scheduling, and enhance infrastructure efficiency. You will design experiments, analyze extensive system telemetry data, and prototype predictive and optimization algorithms that directly influence production systems. This position marries rigorous research with tangible impact, transforming complex infrastructure data into quantifiable enhancements in performance and cost. You will work collaboratively across teams to convert research insights into applicable solutions.Who You Are:MS or PhD in Computer Science, Statistics, Applied Mathematics, Machine Learning, or a related quantitative field8+ years (or equivalent research experience) in implementing statistical modeling or machine learning on large-scale datasetsStrong proficiency in Python and scientific computing libraries (NumPy, pandas, SciPy, scikit-learn, PyTorch or TensorFlow)Proven experience designing and analyzing controlled experiments (A/B testing, causal inference, hypothesis testing)

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. With over 350 global clients, we have successfully transformed performance through human-centric AI solutions. Explore our real-world impact here.We prioritize substance over hype. Our commitment lies in innovating, developing, and implementing responsible AI that genuinely makes a difference. Our expertise spans across various sectors, including government, finance, retail, energy, life sciences, and defense.As our business grows rapidly, we seek individuals who share our intellectual curiosity and aim to create a meaningful legacy through technology.Join us in harnessing the power of AI and realizing its most impactful applications.About the TeamThe Defence team is dedicated to creating and integrating human-centered AI solutions that enhance national security. We work closely with our clients to deliver ethical, reliable, and advanced AI solutions in critical situations, ensuring a balance of global power crucial for our freedom.Due to the sensitive nature of our work, candidates must be eligible for UK Security Clearance (SC) and should be prepared to work onsite with clients 2 to 4 days a week, which may involve travel across the UK. When not on client sites, you can choose to work from our London office or remotely within the UK.About the RoleAs a Senior Data Scientist, you will spearhead high-impact AI initiatives and guide the technical direction of customized solutions. This position demands both hands-on technical proficiency and strong leadership skills. You will establish data science methodologies, design resilient software architectures, mentor junior team members, and ensure robust project delivery while fostering deep client relationships and reinforcing our standing as a leader in practical, impactful AI.Your Responsibilities Include:Mapping the end-to-end data science approach...

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence (AI) will shape the future of technology. With over 350 global clients, we have consistently delivered transformative AI solutions that engage human-centric approaches. Explore our impact here.We prioritize innovation over trends, focusing on responsible AI that drives significant results. Our team combines unmatched technical, product, and delivery expertise, serving clients across various sectors including government, finance, retail, energy, life sciences, and defense.As our business and reputation flourish, we seek individuals who share our passion for intellectual exploration and a commitment to leaving a lasting technological legacy.Join us in harnessing AI’s potential to create powerful solutions that will define the future.About Our TeamIn our Professional and Financial Services division, we leverage over a decade of applied AI experience to guide our clients through a rapidly evolving landscape.We design and implement AI solutions that enhance operational efficiency, improve customer experiences, and unlock commercial opportunities in uncertain markets. Operating within a highly regulated environment, we embrace the potential for meaningful innovation while setting the benchmark for technical excellence and secure deployment.About the RoleAs a Principal Data Scientist at Faculty, you will be a technical authority and domain expert, responsible for leading the delivery of intricate, high-impact projects for our key clients. You will establish the technical vision for the data science team while mentoring and developing our data scientists to ensure they remain at the forefront of the industry.Your ResponsibilitiesActing as a technical expert on machine learning, generative AI, and other advanced data science methodologies to deliver innovative solutions.Driving the execution of high-stakes projects while ensuring the highest standards of quality and technical excellence.

About Valtech Valtech partners with leading brands worldwide to shape the future of experience innovation. The company supports employee growth through international career paths, values-driven culture, and opportunities to make a real impact on how industries evolve. What Sets Valtech Apart Innovative projects and industry advancements Core values: share, care, and dare Culture that encourages creativity, diversity, and autonomy Global teams that collaborate across borders Role Overview: Lead Data Scientist The Lead Data Scientist at Valtech applies deep experience in data science to solve business problems. The role involves both traditional machine learning and advanced AI, with a focus on large language models (LLMs) and agentic AI. Expect to work hands-on with modeling, experiment with new approaches, and explain findings clearly to colleagues who may not have technical backgrounds. This position suits someone with a practical mindset, strong problem-solving skills, and a genuine curiosity about new technologies. The Lead Data Scientist helps spot opportunities and delivers solutions that make a difference. Location London

About Charlotte Tilbury Beauty Charlotte Tilbury Beauty was founded in 2013 by British makeup artist Charlotte Tilbury MBE. The brand has made makeup more accessible and giftable, reaching customers in 50 markets. With over 2,300 employees, the company continues to grow quickly and is recognized as a leader in the beauty industry. Charlotte Tilbury Beauty combines innovative retail strategies and technology to drive growth. The company values creative thinking, collaboration, and a willingness to tackle challenges. Team members are encouraged to help shape the company’s ambitious future. Role Overview: Data Scientist Based in London, this Data Scientist role covers the full data science workflow, from scoping projects to deploying models and monitoring their performance. The team applies data, machine learning, and AI to improve decision-making and deliver personalized customer experiences. Projects range from optimizing marketing spend to content personalization and large language model integration. Key Responsibilities Source and process data using both domain-specific and general approaches Analyze data to support ad-hoc business needs Run proof-of-concept projects to test feasibility and value Build and deploy machine learning models for production use Monitor model performance to maintain accuracy over time Lead integration of large language models (LLMs) to drive innovation and efficiency Manage relationships with stakeholders, balancing ambition with practical outcomes Develop and share insights with teams across the business Work closely with other data scientists, analysts, and engineers Collaboration This role works alongside Data and Tech teams across the business. Requirements Bachelor's or Master's degree in Computer Science, Data Science, or a related field 3-5 years of experience in data science or a similar position