million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours. We are feeding the world’s curiosity! Job Description The Opportunity As a DataScientist at Cint you will have the opportunity to work alongside our Data Science and Analytics teams and collaborate with product and engineering teams to work on Media … Measurement and Data Solutions products. This includes data analysis, design of statistical and machine learning model methodologies and codebases, and model validation. The ideal candidate is a self-starter comfortable working with large datasets and knowledgeable in statistical and machine learning techniques, with an eagerness to learn and contribute to the development and validation of products that align … development, validation and maintenance Analyze large datasets to identify trends, patterns, and insights, ensuring quality and reliability of results. Respond to ad hoc client-specific requests including performing analyses, data manipulation and producing summary results. Collaborate with cross-functional teams to deliver on broader project goals. Participate in developing methodologies, model validation, and maintenance and enhancement of existing statistical More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Oscar
New Role: Data Science Engineer (NLP Focus) 💰 Salary: up to £75,000 🏠 Hybrid/Remote: Flexible, with regular London meetings 📍 Location: UK-based (preferably London) We're looking for a Data Science Engineer to join a fast-moving team working on LLM pipelines and data at scale. This is a great opportunity for someone passionate about impactful … data work and modern AI tools. What We're Looking For: ✅Few years experience in data science or engineering ✅ Strong Python skills and extensive experience with LLMs/NLP ✅ Experience building scalable data pipelines If you're a hands-on datascientist/engineer looking for your next step, we’d love to hear from More ❯
Principal DataScientist Up to £150,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models … a fast-paced, collaborative environment. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯
million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours. We are feeding the world’s curiosity! Job Description The Opportunity As a Senior DataScientist at Cint, you will play a pivotal role in optimizing the Cint Exchange. Collaborating closely with product and engineering teams, you will deliver data-driven solutions … to enhance the performance of existing products, inform the development of new offerings, and deepen our understanding of marketplace dynamics. This role involves advanced data mining and analytics, robust product and data validation, and the development of sophisticated statistical and machine learning-based methodologies. The ideal candidate will have a strong ability to independently research, develop, and maintain … recommendations through compelling visualizations and presentations tailored to diverse technical and non-technical audiences. Qualifications What we are looking for Minimum 5 years of solid working experience in a Data Science capacity, with demonstrated experience in leading projects or initiatives. A Master's degree (or equivalent) in Statistics, Quantitative Sciences, Data Science, Operations Research, or a related quantitative More ❯
Maidenhead, Berkshire, United Kingdom Hybrid / WFH Options
Access Computer Consulting
I am recruiting for a Palantir DataScientist to work mostly remote with travel to Maidenhead 4-5 times a month. The role falls inside IR35 so you will be required to work through an umbrella company. You will design future-state, modern data architecture, pipelining, and analysis for transformation at the enterprise level using advanced cloud … architectural principles. Using tools such as Palantir Foundry, you will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data pipelining and statistical programming tools to enterprise data to advance and enable key client outcomes. You will have several years of data science and/or data manipulation and analysis expertise. Strong More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Harnham
Senior Marketing Analytics & DataScientist London (Hybrid) £85,000-95,000 base + strong benefits Travel arrangements Harnham have partnered with a world-leading conservation and travel arrangements & hospitality company to find a Senior Marketing Analytics & Data Scientist. This is a fantastic opportunity to build reporting frameworks from scratch, deliver actionable insights, and directly shape digital marketing … performance across global channels. What you'll be doing: Build dashboards & automate reporting across Paid Search, Social, Display, Email & Organic Define KPIs and translate data into clear business insights Use SQL, Python, BigQuery, Tableau (or similar BI tools) to drive scalable solutions Partner with marketing, sales, and finance to optimise performance Contribute to advanced analytics projects: media mix modelling … lead scoring, attribution About you: 6+ years in data analysis (marketing/eCommerce focus) Strong SQL & Python, plus BI/visualisation tools (Tableau preferred) Skilled in digital marketing analytics (GA4, Google Ads, Facebook Ads, CRM data) Detail-oriented, commercially minded, and a confident communicator Why join? Shape a brand-new analytics framework with full ownership Hybrid working setup More ❯
Overview Make your mark for patients We are looking for a Global Advanced Analytics DataScientist Lead who is collaborative, adaptable, and impact-driven to join us in our Global Advanced Analytics team, based in our HQ office in Anderlecht, Belgium. About the role You will be working in a team that uses advanced analytics to deliver actionable … insights, reduce reliance on primary data, and unlock patient value across commercial, medical, and market access areas. Who you'll work with You will be working in a highly collaborative environment with Global Analytics Leads, Go-to-Market teams, Insight Hubs, and business stakeholders. You'll also interact with external partners, including data vendors and healthcare payors. What … you'll do Lead high-impact analytics projects to answer key business questions Develop, scale, and maintain advanced analytics and artificial intelligence solutions Act as the expert partner for data science in commercial and medical domains Coach and mentor junior team members on analytics tools and communication Build strong partnerships across analytics, IT, and business teams Champion a dataMore ❯
We are looking for a datascientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert level of mathematical reasoning- a completed or in progress Masters/… PhD is preferred but not required. Other related fields include, but are not limited to: Data Science, Applied Math and/or Computer Science. Benefits: * This is a full-time or part-time REMOTE position * You’ll be able to choose which projects you want to work on * You can work on your own schedule * Projects are paid hourly … mathematics problems and evaluate their outputs * Evaluate the quality produced by AI models for correctness and performance Qualifications: * Fluency in English (native or bilingual level) * Detail-oriented * Proficient in data science, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning * A current, in progress, or completed Masters and/or PhD is preferred but not required Note More ❯
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms … business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big DataMore ❯
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms … business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big DataMore ❯
Biotech startup developing intelligent workflow and orchestration products to help organisations work more efficiently. You’ll create production AI solutions that automate processes, extract and combine insights from diverse data sources, and embed intelligent assistants into business tools. Our client is a rapidly scaling startup founded by experienced entrepreneurs and backed by global investors. Their mission is to revolutionize … right mix of pre-trained, fine-tuned, and internally developed models. Translate product requirements into production-ready AI features in collaboration with engineering and product teams. Build and maintain data pipelines, model deployment, and monitoring for real-world applications. Combine and engineer signals from structured and unstructured data to support search, summarisation, process mining, and decision support. Requirements … in Python, SQL Strong experience with deep learning for NLP and large language model workflows. Proven experience deploying and monitoring AI/ML models in production at scale. Solid data science foundations and product-focused problem solving. Excellent communication and collaboration skills to work with cross-functional teams. Nice to Have Master’s or PhD in a quantitative discipline. More ❯