Lead Data Scientist London Up to £95,000 + bonus + benefits Our Client We're helping a global ecommerce marketplace build out their Data & Analytics teams. With over 20,000 employees in 41 locations around the world, our client traverses a number of consumer industries. They are passionate about transforming the ecommerce sector by investing in and … their business; they aim to leave a positive impact on all stakeholders including employees, customers and partners, helping to build sustainable local communities on a global scale. The role Data Scientists are hands-on with building models that allow our client to hyper-personalise their customer experience. In addition this, at a leadership level, Data Scientists work as … internal consultants within the business, advising executive teams on all things concerning predictive analytics and machine learning. What a Lead Data Scientist role will involve A hybrid role which is both hands-on with building models and involves consulting throughout the wider business, serving as the DataScience SME for the core customer-facing platform. Collaborating with More ❯
London, England, United Kingdom Software and Services Description Dive deep into large-scale data to uncover trends and identify key insightsPartner with data engineers and project managers to conduct data investigation analysisBuild and automate dashboards used to present key insights to partnersCollaborate with researchers and machine learning engineers for building datascience and machine learning … solutions such as anomaly detectionFacilitate cross-functional discussion to find out what is the right technical resolution to the business problems Minimum Qualifications 5+ years in an analytics or data engineering role Background in data analytics, proficient in SQL or Python Pandas Experience with data visualization tools, such as Tableau, GGplot, Keynote etc Fundamental understanding of statistical … analysis, forecasting and modeling Preferred Qualifications Experience in coding for automation (e.g. Scala, Python, Java etc.) Familiarity with writing data pipelines using one or more big data technologies (e.g. Spark, Hive, Trino, Flink, Airflow etc.) Familiarity with modern cloud technologies such as Kubernetes Familiarity with software development lifecycle for datascience and engineering Familiarity with commerce More ❯
build the future of enterprise AI? Join one of Europe's most exciting AI companies, a Series-funded, high-growth scale-up that's changing how global organisations use data science. We're building always-on AI agents that act as digital workers, trusted by world-class clients like Cisco, Johnson & Johnson, and Canon to deliver insights 10x faster … lookout for ambitious AI Engineers (Junior to Mid-Level) who want to work with the latest in LLMs, co-pilots, agentic workflows, RAGs , and more, while also applying real datascience, ML, and MLOps skills in live enterprise environments. What You'll Do: Work directly with enterprise clients to design and deploy custom AI agents Tackle complex business … problems with intelligent, scalable solutions Blend cutting-edge AI (LLMs, RAGs, co-pilots) with traditional datascience and ML Be part of a mission-driven team that's pushing boundaries in autonomous AI What You'll Need: A strong foundation in datascience and machine learning Hands-on use of modern AI tools (LLMs, RAG, LangChain More ❯
high-growth Google Cloud consultancy. At Qodea, you'll be part of a team energised by innovation and passionate about delivering exceptional results. We craft cutting-edge solutions in data and analytics, AI, cloud infrastructure and security, driving digital transformation that empowers our customers to scale, modernise and lead in their industries. We're driven by ideas and powered … by our people. We are looking for a Senior Data Engineer to deliver solutions that surpass our customers expectations, by utilising cutting-edge tools and technologies. We really value in-person collaboration, so we're looking for you to spend at least 60% of your time on-site. This means being at our company offices or at a client … s site. How You'll Shape Our Success The purpose of this role is to design, build, and maintain scalable data pipelines and infrastructure that enable the efficient processing and analysis of large, complex data sets. What You'll Do Develop and maintain automated data processing pipelines using Google Cloud: Design, build, and maintain data pipelines More ❯
pricing models, we build the driving intelligence that feeds them. Our mission is to drive safer roads and fairer insurance through data. The Telematics team transforms raw phone sensor data into meaningful insights about how people drive. Using advanced signal processing and machine learning, we process high-frequency data to extract behavioural signals that power our understanding of … driving quality, context, and risk. About the Role As a Senior Data Scientist, you'll help define the future of behaviour-based insurance. You'll own the development of features and algorithms that detect driving patterns from sensors, test new hypotheses, and bring the most impactful insights into production. You'll work at the intersection of datascience and engineering, generating scalable, real-world insights from GPS, accelerometer, and other data What you will be doing Design and build robust behavioural features and factors from telematics data. Develop end-to-end pipelines in Python and SQL, from quick heuristics to full ML models. Prioritise simple, robust solutions that scale, whether rule-based or ML-driven. Collaborate More ❯
Data Services Team offers a variety of data product with strong focus on engineering including datascience, and data analytics to help our business users mainly trading teams to make data-driven decisions and improve their business operations. At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds … supportive team where everyone - no matter what role - contributes ideas and drives outcomes. What role will you play? Press space or enter keys to toggle section visibility As a Data Platform Engineer, you will join our dynamic Engineering team developing cutting-edge data product solutions. You will build and maintain applications ranging from cloud infrastructure automation AWS, APIs … to toggle section visibility A dynamic individual with a strong DevOps and Engineering background who loves to solve problems and build automation and CI/CD Pipelines in the data space and cloud infrastructure Proficient in writing infrastructure as code for public cloud Experience with Python coding/testing or any Cloud-based technology (AWS preferred) Good understanding of More ❯
Firstminute Capital, Slow Ventures (Sam Lessin), Helios Partners (Souleymane Ba), Crossbeam Ventures (Ali Hamed), Nikesh Arora, Samih Toukan, and many other context-specific angels The Role As a Senior Data Engineer, you will create components of a modern data platform that will be the foundation of Taptap Send's decision-making ability. The systems you help create and … to the success of TTS. You will play a critical part in the functioning of every team, with stakeholders ranging from customer success, growth, markets, product, and finance. The Data Engineer will be implementing critical data pipelines, and innovating and improving infrastructure to support these pipelines while advancing best practices in privacy and data and information security. … Responsibilities Apply automation mindset and DevSecOps principles to data systems and architectures Integrate with APIs of 3rd party data sets to enable data pipelines and reporting use cases Build data systems and pipelines using SaaS systems like AWS and DBT Cloud Build solutions to various business objectives using your technical skills and your extensive understanding of More ❯
expert, you will drive talent acquisition strategy, champion EDI (Equality, Diversity, and Inclusion) initiatives, and curate our Monolith employer brand to attract and retain top technical talent across engineering, datascience, and leadership levels. You will also be responsible for managing international hiring processes, including working with Employers of Record (EORs) and engaging contractors. Location: Hybrid … ll be responsible for: Talent Acquisition Strategy o Develop and execute creative sourcing strategies for all roles, using a variety of platforms and networks. o Experienced hiring for engineering, datascience, and technical leadership roles, including C-level hires. o Build and maintain robust talent pipelines for current and future hiring needs. o Advise leadership on market trends … A bit about you: Experience o Proven track record in technical recruitment, ideally within a UK/Europe tech startup or high-growth environment. o Experience recruiting for engineering, datascience, and leadership positions. o Demonstrated success designing and leading EDI and employer branding initiatives. o Experience managing international hiring, including working with Employers of Record (EORs) and More ❯
learning and artificial intelligence, our technology suite provides tailored, exclusive insights that support our clients in achieving performance and efficiency. By securely handling and combining private and public shipping data flows, and applying advanced analytics, insights are delivered over web and mobile applications, as well as through a rich set of APIs and SDKs. Our backend architecture is abstracted … capabilities that are leveraged in the solutions that we offer or can be directly embedded in our client's system topologies. Summary Signal is looking for a Forward Deployed Data Scientist to join our high-growth team. This is not your typical data role-you'll sit at the crossroads of data, engineering, technical pre-sales, and … product design, working side-by-side with commercial teams and enterprise clients to design, prototype, and deliver scalable data solutions that drive adoption and revenue. What You'll Do: Client-Centric Data Solutions Collaborate with clients, sales, and account teams to uncover real-world data needs and friction points. Build working data products-from custom Python More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
Role: Head of Data Engineering Location: London (Hybrid - 1 day per week in-office) Salary: £110,000 - £120,000 + 10% Bonus + Share Options A high-growth, product-focused scale-up in the financial services space is hiring a Head of Data Engineering to lead and evolve their core data platform. This is a hands-on … with the opportunity to shape both the technical architecture and the team as the business enters its next phase of growth. You'll be responsible for owning the entire data function - setting the strategic direction, developing the team, and delivering a reliable, scalable, and modern data platform that underpins key decisions across the business. This is a great … opportunity for someone who's already acting as a Head of (in title or in practice) or a seasoned Data Engineering Lead ready to step up into a broader leadership role. Key Responsibilities: Lead, mentor, and scale a high-performing team of Data Engineers (currently four people) Own and evolve the end-to-end data architecture, including More ❯
frameworks that enhance the efficiency of our predictive models, reducing deployment times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with our Data Scientists, Actuaries, and Product team to deliver scalable, production-grade ML systems. Key Responsibilities Build model lifecycle tooling (deployment, monitoring and alerting) for our predictive models (for example claims … cost, conversion, retention, market models) Maintain and improve the development environment (Kubeflow) used by our Data Scientists and Actuaries Develop and maintain pricing analytics tools that enable faster impact assessments, reducing manual work Collaborate with the technical pricing, street pricing and product teams to gather requirements and feedback on tooling and to build impactful technology Communicate complex concepts to … technical and non-technical stakeholders through clear storytelling Required Skills Education: Bachelor's or Master's degree in Statistics, DataScience, Computer Science or related field Experience: Proven experience in ML model lifecycle management Core Competencies : Model lifecycle: You've got hands-on experience with managing the ML model lifecycle, including both online and batch processes Statistical More ❯
frameworks that enhance the efficiency of our predictive models, reducing deployment times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with our Data Scientists, Actuaries, and Product team to deliver scalable, production-grade ML systems. Key Responsibilities Build model lifecycle tooling (deployment, monitoring and alerting) for our predictive models (for example claims … cost, conversion, retention, market models) Maintain and improve the development environment (Kubeflow) used by our Data Scientists and Actuaries Develop and maintain pricing analytics tools that enable faster impact assessments, reducing manual work Collaborate with the technical pricing, street pricing and product teams to gather requirements and feedback on tooling and to build impactful technology Communicate complex concepts to … technical and non-technical stakeholders through clear storytelling Required Skills Education: Bachelor's or Master's degree in Statistics, DataScience, Computer Science or related field Experience: Proven experience in ML model lifecycle management Core Competencies : Model lifecycle: You've got hands-on experience with managing the ML model lifecycle, including both online and batch processes Statistical More ❯
will act as a consultant to the business surfacing deep insights, providing easy to use tools for analysis and reporting as well as generating actionable learnings for the team. Data-driven decision-making is at the core of Amazon's culture and this role will have a direct impact on the decisions and strategy of the Prime Video Channels … across multiple territories in Europe. Key job responsibilities - Work with Marketing, Partner Management, Content Acquisition Management, other BIE and leadership to identify data needs and requirements - Build mechanisms to surface knowledge and learnings about to the business - Set up and maintain self-service infrastructure (e.g. dashboards) for the team - Generate and present concrete and actionable insights and recommendations for … leadership based on sound methodological analysis - Proactively create new metrics that represent key inputs/outputs of the business - Support automation processes across the team - Lead large scale projects data and analytical projects that help scale the business across the EU, or Worldwide - Work closely with finance team on regular analyses and reporting BASIC QUALIFICATIONS - Experience with theory and More ❯
We're looking for a Senior Data Scientist who's passionate about using data to solve real-world problems and has a keen interest in pricing strategy, customer behaviour, and decision science. In this role, you'll work closely with the Pricing team in OakNorth's Personal Savings business to design experiments, build models, and derive insights that … with rigorous analysis and robust experimentation. The role Work in and partner with the Pricing team to understand key challenges around savings pricing, customer acquisition, and retention. Analyse historical data and trends to present insights and build models that elevates data insights into the hands of stakeholders. Design and evaluate pricing experiments to estimate price elasticity and customer … and test pricing opportunities that balance volume growth with cost of funds, under different market conditions. Contribute to tooling and frameworks that support experimentation and analysis at scale. Create data products which enables the team to make accurate decisions faster, leveraging AI and automation. Collaborate with Data Engineering to ensure the right data is available, structured, and More ❯
Front Office Data & Analytics Engineer - Crude & Products Apply locations: London, United Kingdom Full time Posted Yesterday Job requisition id R-016371 Main Purpose: We are recruiting a software engineer to work directly with traders and research analysts in our trading teams. This role offers the opportunity to operate in a fast-paced, data-driven trading environment, contributing to … real-time data and software solutions. The engineer will collaborate with global trading teams based in Geneva, Houston, and Singapore, and will be part of the global datascience and engineering team responsible for market and fundamental data ingestion, management, modeling, and analytics applications. The role involves leading the development of applications and software using modern … an innovative business setting. Knowledge, Skills, Abilities, and Responsibilities: Develop software components, frameworks, and micro-services. Create core infrastructure and shared services for DnA applications. Build cloud-native big data platforms and analytics solutions. Maintain time-critical data pipelines (ETL/ELT). Apply SDLC and agile principles in software delivery. Implement domain-driven design. Problem solve and More ❯
Join Barclays as a Digital Customer Data Engineer, where you'll be leading the development for a new shared data platform that is transforming how individuals/organisations interact with the bank. Your role involves using the latest data and AI engineering skills to deliver a digital capability. As part of our team, you'll also benefit … from being part of a vast professional network, collaborating with industry mentors and experts. To be successful you should have experience with: Modern data engineering practices, inc. event-driven and data lake. Digital platform development, inc. experience developing colleague and customer facing applications. Banking software development. Deep technical awareness of cloud and data technology, such as Kafka … Data Bricks, microservices, API. Some other highly valued skills may include: Technical design: Analysis and documentation of system characteristics, inc. designing solutions to meet multi-faceted non-functional requirements. Communication Skills: Ability to clearly convey project goals to senior leadership, updates, and technical details to stakeholders at all levels, including non-technical audiences at all levels of the organisation. More ❯
A Data Director is being sought by a leading Media Agency, to lead on all client relationships from a Data Activation & Programmatic Media perspective, but also to mould team into it's own P/L & deliver on stand alone projects. Heading up a team of 5 and working across a range of clients on varied Analytics& DataScience projects. The Head of Data will work across all the Agencies major clients, and be responsible for the approach to Data & solution development. Leading a multifaceted team of 5 consisting of Data Engineers & Data Scientists. Team set to grow in next 12 months. You'll be someone that is creative in your approach … to connecting diverse Data Sets to Media, within a programmatic ecosystem. Data Director - Experience: Familiar with connecting 1st & 3rd Party Data Sets in a Media Context Likely will have worked in an Agency environment previously Experience of Technologies around Digital Activation such as DV360, Tradedesk etc Nice to haves: Experience of programming languages such as Python/ More ❯
come a long way, there's still so much exciting work to do. Come join us at the heart of trust! From millions of reviews to rich user interaction data, we have a vast amount of behavioral and content data that powers our consumer platform. In the B2C Applied AI team, we're focused on leveraging AI and … ML to improve how people discover, interact with, and trust businesses on Trustpilot. We are seeking a Data Scientist to join our B2C Applied AI team to build intelligent, data-driven product features that improve user experience and deliver business impact. You will collaborate closely with a cross-functional team of engineers, product managers, designers, data analysts … hands-on experience developing and deploying machine learning solutions, especially in areas such as ranking, search, recommendations, and personalization. You'll also demonstrate a strong understanding of user behavior data and how to use it to influence product development. A product mindset and ability to work cross-functionally are essential. What you'll be doing: Great opportunity to make More ❯
We're looking for a smart and ambitious data scientist, with real entrepreneurial flair to join our team and understand our members and all the metrics that matter. Love numbers and love being commercial? This role presents an opportunity to mold the future of the datascience team, explore new ideas and new technologies. Muzz is the … married. We're on our way to become the first $1 billion Muslim tech brand - but we need your help! Day to day You'll be joining a dynamic datascience team whose goal is to grow the company and optimize our products as we expand into new markets around the world You'll be understanding our user … models driving product personalization and recommendations You'll be exploring new ideas and optimization projects, and building MVPs to prove value You'll be diving into a range of data across marketing and product to solve our highest impact and complex challenges You'll work alongside the data analysts and data engineer in the data team More ❯
time left to apply End Date: September 30, 2025 (30+ days left to apply) job requisition id R095023 We're the world's leading data, insights, and consulting company; we shape the brands of tomorrow by better understanding people everywhere. Kantar's Profiles division is home to the world's largest audience network. With access to 170m+ people in … over 100 global markets, we offer unrivalled global reach with local relevancy. Validated by industry leading anti-fraud technology, Kantar's Profiles Audience Network delivers the most meaningful data with consistency, accuracy, and accountability - all at speed and scale. About the job As a Senior Data Scientist, you will play a pivotal role in driving data-driven … influence key business outcomes. You will take on the responsibility of developing and optimising machine learning models, analysing complex datasets, and collaborating closely with cross-functional teams to integrate data solutions into broader business strategies! Embedded within a dynamic DataScience team, you will not only contribute technical expertise but also foster innovation and knowledge-sharing, making More ❯
We are looking for an experienced Data Scientist to join our team! About the Role Measure Protocol is a leading consumer behavioural data company servicing some of the world's largest brands and media companies as its clients. Measure has been collecting behavioural data from consumers over several years and has a vast data asset. The … role of the Data Scientist will help shape and mould Measure's approach and products to build the best-in-class consumer data company. About Measure Measure is building the world's first ethical and transparent human data marketplace. The world we live in is awash in data: what we watch and wear, who we know … what we do, and how we live our lives. Unfortunately, most of this data is owned and controlled by corporations and we have very little say in when and where it gets used, let alone being compensated for its use. We have a bold mission with a lot of complexities, but we believe there is a real opportunity to More ❯
Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate, and above all, fun. About the team The Enterprise Data & AI (EDAI) Team, led by the FIS Chief Data & AI Officer (CDAO), is focused on delivering cutting-edge Data, AI, and Machine Learning platforms and models. The … group is organized into four engineering Towers: Data Ingestion, Data Engineering, Data Warehousing, and Artificial Intelligence/Machine Learning. These are supported by three enabling Towers: Strategy & Operations, Customer Success, and Data Ops/Compliance. Based between the US, UK, and India, the team is 250 strong and committed to delivering value for FIS through data and AI. What you will be doing You will play a pivotal role in the success of the new enterprise Data and AI platform developed by the EDAI team. This platform, built with industry-leading technology and the highest security standards, will become the enterprise's new benchmark - allowing FIS to anonymize and commercialize data to drive More ❯
Planet Pharma is seeking an Associate Director, AI Data Scientist to lead the design and implementation of innovative AI/ML/GenAI solutions that will transform clinical trial execution and digital healthcare. This is a highly visible, strategic role with the opportunity to impact patient recruitment, real-world data generation, and next-generation digital tools across global … R&D. What you’ll do: Lead AI/ML/GenAI initiatives to optimize clinical trial operations (patient recruitment, retention, data monitoring, automation). Develop GenAI applications for automated clinical trial documentation (protocols, study reports, medical reports, patient narratives). Create Digital Healthcare applications to support medical/scientific tools, patient engagement, and real-world evidence generation. Design … predictive models and generative AI solutions leveraging diverse healthcare data (clinical trials, EHRs, wearables, PROs, HEOR, Phase IV). Collaborate with clinical, datascience, RWE, and medical affairs teams to deliver AI-driven business value. Build relationships with external experts (researchers, regulators, technology partners) to align solutions and stay at the forefront of innovation. Ensure compliance with More ❯
Planet Pharma is seeking an Associate Director, AI Data Scientist to lead the design and implementation of innovative AI/ML/GenAI solutions that will transform clinical trial execution and digital healthcare. This is a highly visible, strategic role with the opportunity to impact patient recruitment, real-world data generation, and next-generation digital tools across global … R&D. What you’ll do: Lead AI/ML/GenAI initiatives to optimize clinical trial operations (patient recruitment, retention, data monitoring, automation). Develop GenAI applications for automated clinical trial documentation (protocols, study reports, medical reports, patient narratives). Create Digital Healthcare applications to support medical/scientific tools, patient engagement, and real-world evidence generation. Design … predictive models and generative AI solutions leveraging diverse healthcare data (clinical trials, EHRs, wearables, PROs, HEOR, Phase IV). Collaborate with clinical, datascience, RWE, and medical affairs teams to deliver AI-driven business value. Build relationships with external experts (researchers, regulators, technology partners) to align solutions and stay at the forefront of innovation. Ensure compliance with More ❯
East London, London, United Kingdom Hybrid / WFH Options
Planet Pharma
Planet Pharma is seeking an Associate Director, AI Data Scientist to lead the design and implementation of innovative AI/ML/GenAI solutions that will transform clinical trial execution and digital healthcare. This is a highly visible, strategic role with the opportunity to impact patient recruitment, real-world data generation, and next-generation digital tools across global … R&D. What you’ll do: 🔹 Lead AI/ML/GenAI initiatives to optimize clinical trial operations (patient recruitment, retention, data monitoring, automation). 🔹 Develop GenAI applications for automated clinical trial documentation (protocols, study reports, medical reports, patient narratives). 🔹 Create Digital Healthcare applications to support medical/scientific tools, patient engagement, and real-world evidence generation. 🔹 Design … predictive models and generative AI solutions leveraging diverse healthcare data (clinical trials, EHRs, wearables, PROs, HEOR, Phase IV). 🔹 Collaborate with clinical, datascience, RWE, and medical affairs teams to deliver AI-driven business value. 🔹 Build relationships with external experts (researchers, regulators, technology partners) to align solutions and stay at the forefront of innovation. 🔹 Ensure compliance with More ❯