slough, south east england, united kingdom Hybrid / WFH Options
Intellect Group
Junior DataScientist – Sport & Data Analytics 📍 London (Hybrid) Are you passionate about sport, data, and innovation ? This is an exciting opportunity to join a global sports organisation that’s using analytics to shape performance, marketing, and commercial strategy across international events. You’ll work closely with senior stakeholders to turn data into insight - building dashboards … validating key datasets, and supporting decision-making across finance, marketing, and operations. We’re looking for someone who: ⚙️ Has 1-4 years’ experience in data science or analytics 🐍 Is confident using Python and SQL 📊 Can visualise data in Power BI or Tableau 💡 Communicates complex insights clearly to non-technical teams 🔥 Brings curiosity, creativity, and a genuine passion for … tech organisations ✨ Perks: Private healthcare, 25 days’ holiday + Christmas break, flexible hours, and complimentary access to global sporting events This is a great fit for an early-career datascientist or analyst who wants to see their work have visible impact in the world of sport . How to Apply: Please apply with your most up-to More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Intellect Group
Junior DataScientist – Sport & Data Analytics 📍 London (Hybrid) Are you passionate about sport, data, and innovation ? This is an exciting opportunity to join a global sports organisation that’s using analytics to shape performance, marketing, and commercial strategy across international events. You’ll work closely with senior stakeholders to turn data into insight - building dashboards … validating key datasets, and supporting decision-making across finance, marketing, and operations. We’re looking for someone who: ⚙️ Has 1-4 years’ experience in data science or analytics 🐍 Is confident using Python and SQL 📊 Can visualise data in Power BI or Tableau 💡 Communicates complex insights clearly to non-technical teams 🔥 Brings curiosity, creativity, and a genuine passion for … tech organisations ✨ Perks: Private healthcare, 25 days’ holiday + Christmas break, flexible hours, and complimentary access to global sporting events This is a great fit for an early-career datascientist or analyst who wants to see their work have visible impact in the world of sport . How to Apply: Please apply with your most up-to More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Robert Half
AI Tech Start Up - Junior DataScientist - Remote Based London £30,000 - £50,000 Robret Half have partnered with an early stage high potential AI focused Tech Start-Up who aree looking for a Junior DataScientist to join their growing team and help develop advanced machine learning models that predict and prevent equipment failures in … large-scale industrial operations. This is an exciting opportunity to apply data science to real-world engineering challenges , using rich, high-frequency data from complex machinery. Their AI-driven predictive maintenance platform is built on years of operational data and designed to help clients reduce downtime, improve efficiency, and make data-backed maintenance decisions. Delivered via … very early stage which is uniquely positioned for rapid growth! What You'll Do Build, validate, and monitor machine learning models for anomaly detection and failure prediction. Analyze sensor data and operational logs to support predictive maintenance strategies. Develop and maintain data pipelines using tools like Apache Airflow for efficient workflows. Use MLflow for experiment tracking, model versioning More ❯
london, south east england, united kingdom Hybrid / WFH Options
Datatech Analytics
Job Title Senior DataScientist - CRM Location London – hybrid working (2/3 days in City offices) Salary To c£75,000 negotiable DoE Job Reference J13015 POSITION OVERVIEW We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and … customer insight capability 'in house' and roll out a new customer data platform, this role will be central to shaping how data science is delivered, working closely with Data Science teams and IT partners to build for the future, not maintain the past. They are looking for a passionate and experienced Senior DataScientist/… and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle—from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. REQURIED SKILLS & EXPERIENCE Proven experience in machine learning, particularly in recommendation systems More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Datatech Analytics
Job Title Senior DataScientist - CRM Location London – hybrid working (2/3 days in City offices) Salary To c£75,000 negotiable DoE Job Reference J13015 POSITION OVERVIEW We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and … customer insight capability 'in house' and roll out a new customer data platform, this role will be central to shaping how data science is delivered, working closely with Data Science teams and IT partners to build for the future, not maintain the past. They are looking for a passionate and experienced Senior DataScientist/… and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle—from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. REQURIED SKILLS & EXPERIENCE Proven experience in machine learning, particularly in recommendation systems More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Datatech Analytics
Job Title Senior DataScientist - CRM Location London – hybrid working (2/3 days in City offices) Salary To c£75,000 negotiable DoE Job Reference J13015 POSITION OVERVIEW We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and … customer insight capability 'in house' and roll out a new customer data platform, this role will be central to shaping how data science is delivered, working closely with Data Science teams and IT partners to build for the future, not maintain the past. They are looking for a passionate and experienced Senior DataScientist/… and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle—from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. REQURIED SKILLS & EXPERIENCE Proven experience in machine learning, particularly in recommendation systems More ❯
london, south east england, united kingdom Hybrid / WFH Options
Singular Recruitment
This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a DataScientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. In this role, you’ll design and deploy data models that power decision-making across every … match analysis. You'll also play a key role in supporting the club’s commercial operations, including e-commerce and fan engagement. If you're passionate about using advanced data science to drive real-world impact in sport, this is the role for you. Key Responsibilities Develop and apply statistical models and algorithms to analyse player performance, match outcomes … and tactical insights Collect, clean, and process football-related data from diverse sources Build clear, compelling visualizations and deliver insights to both technical and non-technical stakeholders Collaborate with analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and dataMore ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Singular Recruitment
This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a DataScientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. In this role, you’ll design and deploy data models that power decision-making across every … match analysis. You'll also play a key role in supporting the club’s commercial operations, including e-commerce and fan engagement. If you're passionate about using advanced data science to drive real-world impact in sport, this is the role for you. Key Responsibilities Develop and apply statistical models and algorithms to analyse player performance, match outcomes … and tactical insights Collect, clean, and process football-related data from diverse sources Build clear, compelling visualizations and deliver insights to both technical and non-technical stakeholders Collaborate with analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and dataMore ❯
slough, south east england, united kingdom Hybrid / WFH Options
Singular Recruitment
This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a DataScientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. In this role, you’ll design and deploy data models that power decision-making across every … match analysis. You'll also play a key role in supporting the club’s commercial operations, including e-commerce and fan engagement. If you're passionate about using advanced data science to drive real-world impact in sport, this is the role for you. Key Responsibilities Develop and apply statistical models and algorithms to analyse player performance, match outcomes … and tactical insights Collect, clean, and process football-related data from diverse sources Build clear, compelling visualizations and deliver insights to both technical and non-technical stakeholders Collaborate with analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and dataMore ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Oliver James
Job Title: DataScientist (Contract) Location: London - Hybrid (occasional travel to the London office) Duration: 6 months Start Date: ASAP 2025 Overview An opportunity has arisen for an experienced DataScientist to join a leading Data and AI Team , supporting digital transformation projects across Tax and Legal. This role involves designing and developing Generative AI … and Machine Learning (ML) solutions using Python and Microsoft Azure . You'll work with cross-functional teams to build intelligent, data-driven applications that solve complex business challenges and deliver measurable impact. Key Responsibilities Design, build, and deploy Python-based AI and ML applications . Research and develop new Generative AI techniques, including fine-tuning and prompt engineering. … maintain LLM-assisted frameworks and automation pipelines. Write clean, maintainable, and well-documented code for scalable deployment. Build and implement testing and evaluation frameworks for AI models. Collaborate with data scientists, software engineers, and subject-matter experts to deliver innovative solutions. Essential Skills & Experience Advanced Python programming skills with hands-on experience using NumPy, Pandas, Scikit-learn, Langchain, LlamaIndex More ❯
Lead DataScientist - Financial Services * Based in Nottingham (4 days onsite) * Pay up to £75,000 * Permanent, Full-Time Our client is a fast-growing financial services organisation looking for a Lead DataScientist to drive innovation across the customer lifecycle. This is a hands-on, commercially focused role where you'll develop predictive models, deploy … and deliver actionable insights across fraud, marketing, credit risk, and customer management. You'll work closely with cross-functional teams and have the opportunity to shape the future of data science within a dynamic, forward-thinking environment. Key Responsibilities: Own the development and deployment of predictive models to improve customer outcomes. Lead autonomous decisioning initiatives, including model implementation and … Deliver insights through structured analysis and clear communication. Identify opportunities for innovation and process improvement using data. Key Skills and Experience: 5+ years of experience delivering end-to-end data science solutions in a commercial setting. Proven ability to lead projects independently and drive results. Strong expertise in machine learning, predictive modelling, and AI. Proficient in Python, R, SQL More ❯
vision. Our mission is to build products that customers love by harnessing cutting-edge AI to transform their shopping experience. About the Job We are looking for a Senior DataScientist with experience in bringing advanced machine learning and data science systems to production to work with our team of industry leading domain experts and engineers. You … ll be working across our entire data science stack, from advanced recommender systems to comprehensive performance analytics. Key Responsibilities: Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling. Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems. Bring your models … to production and optimise for inference in edge computing environments. Essential Qualifications: 3-5+ years implementing advanced data science solutions in a commercial setting. MSc in Computer Science, Machine Learning, or a related field. Experience building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge More ❯
vision. Our mission is to build products that customers love by harnessing cutting-edge AI to transform their shopping experience. About the Job We are looking for a Senior DataScientist with experience in bringing advanced machine learning and data science systems to production to work with our team of industry leading domain experts and engineers. You … ll be working across our entire data science stack, from advanced recommender systems to comprehensive performance analytics. Key Responsibilities: Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling. Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems. Bring your models … to production and optimise for inference in edge computing environments. Essential Qualifications: 3-5+ years implementing advanced data science solutions in a commercial setting. MSc in Computer Science, Machine Learning, or a related field. Experience building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge More ❯
london (city of london), south east england, united kingdom
algo1
vision. Our mission is to build products that customers love by harnessing cutting-edge AI to transform their shopping experience. About the Job We are looking for a Senior DataScientist with experience in bringing advanced machine learning and data science systems to production to work with our team of industry leading domain experts and engineers. You … ll be working across our entire data science stack, from advanced recommender systems to comprehensive performance analytics. Key Responsibilities: Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling. Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems. Bring your models … to production and optimise for inference in edge computing environments. Essential Qualifications: 3-5+ years implementing advanced data science solutions in a commercial setting. MSc in Computer Science, Machine Learning, or a related field. Experience building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge More ❯
Veritas is a fast-growing data company on a mission to transform how data is used to drive innovation across life sciences, healthcare, and beyond. We create intelligent data products and analytical tools that empower our clients with actionable insights. Founded by seasoned experts in analytics and technology, Veritas curates, indexes, and delivers high-integrity, research-ready … data which benefits our clients in: Healthcare & Life Sciences Research: enabling long-term survival analysis, endpoint validation, epidemiological studies; Insurance, Pensions & Financial Services: improving life expectancy models, detecting fraud, and supporting population risk profiling ; AI & Predictive Modelling: powering advanced models that incorporate accurate mortality endpoints. As a DataScientist at Veritas, you’ll help develop and deliver … data products that power our client solutions. You’ll work across the full data science lifecycle — from engineering and modelling through to dashboarding, client engagement, and product design. This is a great fit for someone who enjoys blending data engineering, analytics, and science in equal measure. What You’ll Do Design and build models, algorithms, and dashboards More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
Contract DataScientist - Multi-Touch Attribution Location: Hybrid (2-3 days per week, London office) Duration: 4 months Rate: £500 per day (Outside IR35) About the Role We're partnering with a leading marketing and communications group to find an experienced DataScientist for a 16-week contract engagement. The successful candidate will take ownership of … multi-touch attribution (MTA) models, helping the client better understand and optimise their customer journeys. This role suits someone who's confident working independently, thrives on solving real-world data challenges, and focuses on delivering tangible business value over theoretical perfection. Key Responsibilities Design, build, and validate multi-touch attribution models to measure marketing effectiveness across multiple channels. Collaborate More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
Contract Opportunity: Lead DataScientist (Image-Based Predictive Modelling) Location: London/Hybrid/Remote Day Rate: Up to £600/day (Inside or Outside IR35) Contract Length: Initial 5 weeks (very strong extension potential) Start Date: Within 1-2 weeks Industry: Financial Services (Marketing Analytics Project) Interview Slots Available This Week - Fast Turnaround About the Company Join … a specialist data and analytics consultancy working with major financial services organisations. You'll be part of a high-performing, agile squad that owns delivery end-to-end. The environment is innovative, outcome-focused, and ideal for individuals who enjoy solving commercially impactful problems with autonomy. The Opportunity This is a hands-on Lead DataScientist role … deploy a model that forecasts click-through rates and explains why certain images drive better performance. What You'll Be Doing Build and refine a predictive model using image data & historical engagement metrics? Identify which image characteristics (colour, objects, themes) influence customer behaviour? Implement explainability (e.g. SHAP, feature importance)? Build a simple internal UI (Dash, Streamlit, or Flask) for More ❯
I'm working with a global professional services firm to hire for an AI DataScientist in Glasgow (hybrid). Their combining world-class expertise with cutting-edge technology, data science, and automation to create smarter, faster, and more efficient solutions both in-house and for their international clients. This is a brand-new role for an … AI DataScientist who's ready to make a genuine impact. You'll be the first hire in a growing AI function , giving you the freedom to shape the technical direction and build powerful AI capabilities from the ground up. What you'll be doing You'll design and deploy next-gen AI solutions using Microsoft Azure , M365 … and Retrieval-Augmented Generation (RAG) systems. You'll fine-tune large language models (LLMs) for legal-specific applications, uncover insights from complex data, and turn these into intelligent, data-driven decisions that power real business outcomes. Collaboration will be key as you'll work closely with designers, engineers, and product managers to bring innovative AI ideas to life. More ❯
Glasgow, Lanarkshire, Scotland, United Kingdom Hybrid / WFH Options
Cathcart Technology
I'm working with a global professional services firm to hire for a AI DataScientist in Glasgow (hybrid). Their combining world-class expertise with cutting-edge technology, data science, and automation to create smarter, faster, and more efficient solutions both in-house and for their international clients. This is a brand-new role for an … AI DataScientist who's ready to make a genuine impact. You'll be the first hire in a growing AI function , giving you the freedom to shape the technical direction and build powerful AI capabilities from the ground up. What you'll be doing: You'll design and deploy next-gen AI solutions using Microsoft Azure , M365 … and Retrieval-Augmented Generation (RAG) systems. You'll fine-tune large language models (LLMs) for legal-specific applications, uncover insights from complex data, and turn these into intelligent, data-driven decisions that power real business outcomes. Collaboration will be key as you'll work closely with designers, engineers, and product managers to bring innovative AI ideas to life. More ❯
Manchester, Lancashire, England, United Kingdom Hybrid / WFH Options
Avanti
Junior DataScientist - Fully remote (UK based only) – TimeSeries, NLP, Computer Vision We’re partnering with a fast-growing analytics and technology business operating in the media streaming sector to recruit a Full Stack Data Scientist. They provide data analytics tools for major entertainment brands that are household names around the globe. This role offers a … chance to build models, generate insights, and work directly with real-world product and customer data across multiple data types - text, images, and time-series (tabular) data. The Role You’ll join a small, collaborative data team in a Full stack Data Science role (ETL process through to building predictive models) working on live analytics, forecasting … and evaluating time-series forecasts Prototyping AI/ML models (NLP and computer vision exposure) Translating findings into clear visual reports and concise business narratives Contributing to simple, reliable data pipelines and automated quality checks About You Minimum 1 year of commercial Data Science experience Strong hands-on Python (pandas, NumPy, scikit-learn) and SQL Sound understanding of More ❯
DataScientist Up to £60,000 Join a Brand Equity start up that partners with leading CPG and retail brands better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer … vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour, market trends, and emerging patterns. Play a key role in standardising AI into a global solution Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python More ❯
london (city of london), south east england, united kingdom
Harnham
DataScientist Up to £60,000 Join a Brand Equity start up that partners with leading CPG and retail brands better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer … vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour, market trends, and emerging patterns. Play a key role in standardising AI into a global solution Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python More ❯
Hermiston, Midlothian, United Kingdom Hybrid / WFH Options
Exposed Solutions
into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they re scaling globally and need a world-class Lead DataScientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead … DataScientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object … evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Exposed Solutions
into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead DataScientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead … DataScientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities · Develop, train, and deploy computer vision models (object … evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. · Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability More ❯
EH12, Hermiston, City of Edinburgh, United Kingdom Hybrid / WFH Options
Exposed Solutions
into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead DataScientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead … DataScientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities · Develop, train, and deploy computer vision models (object … evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. · Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability More ❯