Trabajos data scientist en Reino Unido

Data Scientist Placement Programme - No Experience Required Our training will help you kick-start a new career as a Data Scientist.We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth.The best part is you will not need any pre

Senior Data Scientist – Personalisation London – Hybrid Up to £65,000 About the Role We’re working with a growing fintech organisation that’s redefining how people save and invest. Their mission is to make financial wellbeing simple, transparent, and accessible - helping customers feel confident about their money through technology, insight, and great user experience. As a Senior Data Scientist, you’ll focus on customer analytics and applied data science - using data to understand behaviour, identify opportunities, and guide strategic decisions across marketing, product, and personalising customer experience. Key Responsibilities • Translate business challenges into analytical questions and deliver data-led insights that drive customer growth and retention., • Analyse customer behaviour, lifecycle patterns, and engagement to uncover opportunities for product and marketing optimisation., • Develop and maintain advanced analytical models to forecast customer outcomes and measure impact., • Present clear, data-driven recommendations to senior stakeholders, influencing strategy and decision-making., • Work closely with Data Engineering and BI teams to ensure data quality, accessibility, and scalability across the organisation. What We’re Looking For • Strong analytical foundation with experience applying statistics and data science in a commercial setting., • Proven track record in customer or marketing analytics - understanding acquisition, engagement, churn, and lifetime value., • Proficiency in Python (Pandas, NumPy, Scikit-learn, Statsmodels) for data wrangling, analysis, and modelling., • Ability to communicate complex findings in a clear, business-relevant way., • Experience working collaboratively in agile, cross-functional teams. Please note: Unfortunately this role cannot offer sponsorship.

I'm working with a multi-manager hedge fund, who have multiple successful commodities strategies here in Europe. One of their largest PM teams who focuses on European Gas, is looking to hire a Data Scientist in London, to build out the research infra and models for the desk as they expand. They need someone with exposure to commodities (Power/Energy/Gas), who is technically well versed in systematic trading development, and analysis data-sets (time series, market-data). Stack: Python, AWS, ETL, Airflow The team has a flat structure, where developers are interfaced with PMs and traders, to ensure the software systems created are bespoke. If you're looking to join a tier one hedge fund, and gain excellent exposure to systematic trading, then please do apply.

Do you want to build AI and data science solutions that directly influence high-value business decisions? Have you taken models from exploration through to production in real environments? Are you ready to work in a small, high-impact team with real ownership and autonomy? This organisation is a global investment firm operating at the intersection of technology, data, and decision-making. They have built an internal data and technology function to support deal sourcing, due diligence, and portfolio insights, using modern data science and emerging LLM/NLP techniques. The team works closely with senior stakeholders and operates like a lean product and research group within a fast-paced commercial environment. They are hiring a Data Scientist (2+ years of experience) to join their London team. This role offers exposure across research, production deployment, and short-form analytical projects, with genuine end-to-end ownership rather than narrow modelling work. Role summary You will work as a generalist Data Scientist, combining strong classical data science foundations with solid Python engineering and familiarity with modern ML/LLM tooling. The role is hands-on and delivery-focused, with opportunities to ship work into production and iterate quickly. Key responsibilities • Build and prototype data science and NLP/LLM solutions, • Take models from exploration to production deployment, • Work across multiple projects supporting commercial decision-making, • Collaborate closely with engineers and non-technical stakeholders, • Maintain high coding standards and clear technical communication Key details • Salary: £60,000–£70,000 base + 10% bonus, • Location: Central London (Bond Street), • Working model: 4 days per week in the office (Mon–Thu), • Tech stack: Python, classical DS, cloud (GCP preferred; AWS/Azure acceptable), LLM/NLP tooling, • Visa sponsorship: Not available Interested? Please apply below.

Are you ready to apply data science where it matters most? Do you want your models to drive real-world outcomes in mission-critical settings? Do you enjoy working onsite with a variety of invested clients? A leading UK consultancy is building a dedicated AI & Data Science team to strengthen its delivery capability in Defence. They’re known for outcome-driven transformation work and operate a genuinely hands-on model where technical teams embed with client stakeholders to make change stick. The business has a strong track record across complex, high-stakes environments, and is now scaling its DS capability to deliver ML, GenAI and simulation solutions end-to-end. For high performers, there’s clear progression and the chance to shape the direction of a growing AI practice. You’ll work directly with end users and senior stakeholders to shape solutions from concept through to embedded impact. This is a high-trust, high-autonomy role where you’ll own both technical delivery and stakeholder engagement - all within a deeply collaborative consulting environment. They're hiring at Lead (3-5 years of experience) to Principal level (5-10+ years of experience). Key Responsibilities • Build and deploy machine learning models and simulation tooling in secure environments, • Lead technical delivery across multi-disciplinary teams, including consultants and engineers, • Work closely with client stakeholders on-site to co-design and iterate on solutions, • Translate complex analytics into strategic business outcomes with measurable value Key Details • Salary: £80,000 - £150,000, • Working model: On-site 4–5 days/week across UK client locations in England & Scotland (travel required), • Tech Stack: Python, MLflow, Databricks, Docker, Azure OpenAI, simulation frameworks, • Clearance: British citizenship / Security Clearance eligibility required, • Visa: This role cannot sponsor Interested? Please apply below.

Data Scientist - Brand Uplift/Marketing London – Hybrid Up to £80,000 About the Role We are seeking a Data Scientist to join a growing Data & Innovation team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to uncover powerful consumer insights. These insights will shape media, marketing, influencer, and creative strategies, helping clients capture market share and build deeper connections with their customers. Key Responsibilities • Combine and analyse large, complex datasets (structured and unstructured) to extract consumer insights., • Apply Machine Learning, NLP, and Computer Vision methods to develop innovative products and solutions., • Prototype and validate new technical ideas, bringing cutting-edge research into production., • Work with clients to translate insights into actionable strategies that drive growth., • Implement production-level coding practices, including unit testing and documentation., • Communicate complex technical concepts to non-technical stakeholders. What We’re Looking For • 3+ years’ experience working with Python for data preparation, aggregation, and transformation., • Strong background in Consumer or Marketing Analytics, with passion for digital, social, and mobile media., • Proven experience applying ML/statistical methodologies to large datasets (>1TB)., • Experience building NLP and Computer Vision products with engaged user bases., • Knowledge of open-source NLP & CV libraries and ability to apply the latest research into real-world applications., • Skilled in explaining technical findings to business audiences in clear, concise English., • Degree in a quantitative field (Data Science, Statistics, Mathematics, Computer Science, or similar); Master’s preferred. Please note, this role cannot offer sponsorship.

This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, 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 area of the club — from strategy, tactics, recruitment, and performance, to pre- and post-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 data science methodologies Your Background • 3+ years of industry experience as a Data Scientist, plus a strong academic foundation, • Python Data Science Stack: Advanced proficiency in Python, including Pandas, NumPy and scikit-learn., • Statistical & Machine Learning Modelling: Experience with a variety of ML techniques (regression, classification, clustering, time-series forecasting), • Experience with deep learning frameworks such as Keras or PyTorch, • Model Deployment: Proven ability to productionise models, including building and deploying APIs, • Strong visualization and communication skills, with the ability to translate complex technical findings into actionable insights for coaches, analysts, and execs Highly Desirable Skills • Football Analytics Experience: Familiarity with football-specific datasets (event, tracking, positional), and libraries like mplsoccer, • Advanced MLOps & Modelling: Experience with the Vertex AI ecosystem, especially pipelines, and advanced techniques such as player valuation, tactical modelling, etc., • Bayesian Modelling: Knowledge of probabilistic programming (e.g., PyMC) for uncertainty-aware predictions, • Stakeholder Collaboration: Demonstrated ability to work directly with stakeholders to scope, iterate, and deliver impactful solutions in fast-moving environments What They Offer • A chance to work on real-world data that impacts elite football performance, • Access to high-value datasets, sports science teams, and cross-disciplinary experts, • A flexible hybrid working model (1 day per month in the London office), • The opportunity to grow within a digital-first team at a world-renowned football club, • The satisfaction of applying your engineering skills in an environment where your work directly influences results on the pitch

Data Scientist – Optimisation & Applied Analytics Contract duration: 6months (12months of work road mapped) Day rate: 800 Inside IR35 Location/Hybrid: 2-3 days per week to Heathrow Airport A major global airline, undergoing a multi‑million‑pound data and optimisation transformation, is looking for a Data Scientist to join their high‑performing Decision Support & Optimisation function. This role is end‑to‑end, hands‑on, and deeply embedded in the business. You’ll work at the start of new product builds, shaping and delivering AI‑powered optimisation tools that keep people and aircraft moving efficiently in one of the most operationally complex industries in the world. What You’ll Do • Build and deploy applied statistics, machine learning and optimisation models that support mission‑critical operational decisions., • Work closely with data engineers, understanding their workflows and collaborating to take models from ideation all the way into production environments., • Craft and define optimisation problems from scratch: decision spaces, constraints, objective functions., • Use strong data visualisation and communication skills to influence stakeholders at all levels., • Partner with operational teams to embed tools directly into workflows and measure real‑world impact., • Own delivery end‑to‑end with far better working hours than typical consulting—while still delivering meaningful change. What We’re Looking For Technical Expertise • Degree or Master’s in Maths, Statistics, Data Science, Operational Research, or similar fields., • Strong applied statistics background., • Experience working with messy or complex datasets, • Hands‑on exposure to integer programming, MIP, MILP, and applied optimisation., • Experience with optimisation tools such as CPLEX, MATLAB, OR‑Tools, or similar., • Some exposure to machine learning methods., • Ability to build and industrialise Python‑based data products., • Exceptional communication and storytelling abilities—able to interrogate both data and stakeholders., • Ability to articulate trade‑offs, design decisions and model assumptions clearly to non‑technical audiences. Ready to shape high‑impact optimisation products from day one and see your work take off—literally? Please Apply with an up-to-date CV.

Senior Machine Learning Scientist – AI Computational Biology (Remote, UK) Location: Remote (UK-based, London time zone) Type: Full-time Focus: Genomics, single-cell biology, production ML systems ( RNA-Seq AND WGS) The Opportunity We’re building production-grade computational methods that turn complex biological data into robust, interpretable biomarkers used daily to advance cancer research and drug development. This is not a purely exploratory research role. You’ll take true end-to-end ownership of methods that sit between raw omics data and biological interpretation — designing them, stress-testing them, and running them reliably in production. If you enjoy combining deep machine learning, real biological signal, and strong engineering practices, this role is built for you. What You’ll Do Own production biomarker methods • Design and implement genomics and transcriptomics pipelines (RNA-seq, single-cell, WGS/WES)., • Turn complex molecular data into scalable, reproducible biomarkers with clear assumptions and limitations., • Develop and fine-tune deep learning models for biological representation learning (e.g. single-cell, multimodal data)., • Prototype AI-driven approaches (including LLMs and agentic workflows) for hypothesis generation and interpretation., • Track new approaches from literature and open source., • Implement, benchmark, and critically assess robustness and generalisability., • Drive adoption decisions based on evidence, not novelty. What We’re Looking For Background • MSc / PhD (or equivalent industry experience) in Machine Learning, Computer Science, Computational Biology, Bioinformatics, or related field., • Strong Python skills with experience building complex ML or data-processing pipelines., • Hands-on experience with omics data (single-cell RNA-seq, bulk RNA-seq, WGS/WES, or multimodal genomics)., • Deep learning experience (e.g. transformers, VAEs, contrastive learning, GNNs)., • Familiarity with production-quality practices:, • Version control (Git), • Reproducibility & testing, • Enjoys owning methods long-term, not just publishing or prototyping., • Comfortable working across biology, ML, and engineering., • Able to clearly explain trade-offs to both technical and non-technical stakeholders.

Data Scientist – Hedge Fund (New launch long/short equity) A newly launched long/short hedge fund specialising in the global Industrials sector is seeking a Data Scientist to help shape its data-driven investment strategy. The firm combines fundamental research with advanced data science, building scalable infrastructure where insights directly influence portfolio performance. The Role The Data Scientist will originate and analyse novel datasets, build predictive models, and deliver insights that drive investment decisions. The position involves working closely with investors and engineers to forecast key company KPIs, design real-time dashboards, and develop best-in-class data infrastructure. Key Requirements • Strong Python (pandas, NumPy, scikit-learn; PyTorch/TensorFlow a plus) and SQL skills, • Experience applying advanced analytics or ML to real-world data (finance, fintech, or forecasting contexts ideal), • Proficiency with BI tools (Tableau or similar), • 2–6 years’ relevant experience and a strong quantitative background, • Ability to source and structure new datasets and collaborate across disciplines Opportunity This role offers the chance to make an immediate impact on investment decisions, collaborate with an experienced investment and technology team, and push the boundaries of data-driven investing. As the firm grows, the Data Scientist will have the opportunity to shape and expand its data science capability.

Cloud Infrastructure Engineer– Azure & Data Platforms Are you ready to shape the future of cloud infrastructure? We’re looking for a Cloud Infrastructure Engineer with 2–3 years of experience to design and manage a secure, scalable, and modern cloud environment. This role is ideal for someone passionate about Azure architecture, data platforms, and automation—not data analysis. You’ll work closely with technical teams to enable advanced research and data-driven innovation. Key Responsibilities: • Design and implement Azure-first cloud infrastructure (networking, identity, storage, Kubernetes)., • Support data lakes and warehouses (e.g., Snowflake)., • Enable data/ML platforms like Databricks, Azure ML, Synapse, MLflow, Airflow., • Drive automation with Terraform, Azure DevOps, CI/CD pipelines., • Embed security and compliance standards (GDPR, ISO 27001). What we’re looking for: • 2–3 years experience in cloud infrastructure (Azure essential, AWS nice-to-have)., • Hands-on experience with data platforms and ML tools., • Strong understanding of cloud security and governance., • Lifesciences experience is a bonus—not required. What we’re NOT looking for: • Someone with 10+ years experience., • A data scientist (this is an infrastructure role). Planet Pharma is an equals opportunities Recruitment Business and Agency. We welcome applications from all suitably qualified candidates regardless of their race, sex, disability, religion/belief, sexual orientation, or age.

Senior Machine Learning Scientist A fantastic opportunity for a Senior Machine Learning Scientist to work for a health-tech software company developing advanced machine learning models used within clinical research. The organisation applies modern machine learning techniques to complex medical datasets to support better understanding of patient outcomes and treatment response. This is a research-focused role, ideal for candidates who enjoy developing novel deep learning approaches and translating academic research into applied machine learning solutions. You will work on large-scale models and high-performance compute, with the opportunity to publish research while collaborating with engineering teams to ensure work can be taken forward into real-world use. Location: 1 day per week in London, remainder remote (UK based) Salary: £70,000 – £90,000 per annum, with flexibility for the right candidate, plus benefits Requirements for Senior Machine Learning Scientist • Strong experience in research and development of computer vision machine learning models, • Experience implementing state-of-the-art deep learning models in PyTorch, • Experience training large models across multiple GPUs and compute nodes, • Deep understanding of machine learning theory including linear algebra, probability, statistics and optimisation, • Experience with deep learning for computer vision, ideally including 3D imaging and or self-supervised learning, • Strong Python and PyTorch skills, with the ability to read and write high-quality training code, • Experience writing and maintaining production-grade Python code, including optimising training performance, • Experience working with modern development workflows including pull requests, code reviews, documentation and ticketing, • Experience working in cloud environments, • Strong Linux and Git skills alongside modern Python development tooling, • Proactive, self-sufficient and communicative working style, • Strong English written and verbal communication skills, • MSc or PhD in Computer Science or a closely related subject Responsibilities for Senior Machine Learning Scientist • Research and develop advanced deep learning and computer vision models applied to complex medical data, • Work on self-supervised pre-training and supervised learning tasks such as segmentation, classification and regression, • Translate academic research into robust and usable machine learning solutions, • Publish research outcomes in leading conferences and journals, • Collaborate with engineering teams to support downstream deployment and application of models, • Keep up to date with developments in machine learning research and apply them where appropriate What the role offers • A genuinely research-led machine learning position, • Opportunity to publish high-quality research, • Exposure to large-scale datasets and high-performance compute environments, • Hybrid working with a remote-first setup, • Competitive salary with flexibility for exceptional candidates Applications If you would like to apply for this unique Machine Learning Scientist role then please send your CV via the relevant links. We’re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing (if this email address has been removed by the job board, full contact details are readily available on our website). Keywords: Senior Machine Learning Scientist / Machine Learning Scientist / Research Scientist / Applied Research Scientist / Machine Learning Researcher / AI Research Scientist / Computer Vision Scientist / Deep Learning Scientist / AI Scientist / ML Research Engineer / Python / PyTorch / Deep Learning / Computer Vision / 3D Imaging / Volumetric Imaging / Self-Supervised Learning / Representation Learning / Foundation Models / Segmentation / Classification / Regression / GPU Training / Distributed Training / Multi-GPU Training / High Performance Computing / Cloud Machine Learning / Linux

Lead Data Scientist: Up to £110k Xcede has just started working with one of the leading applied AI companies in the UK. If you want to have a real impact, this is the role for you! Wating someone to lead the AI solutions, you will establish data analytics strategies, create resilient system frameworks, guide and develop junior team members, and uphold high standards of execution across initiatives, while cultivating strong client partnerships and strengthening our standing as a trusted authority in applied, results-driven AI. Requirements: • You have extensive experience in data science or a relevant academic subject, • Proficiency in Python, • You possess extensive knowledge of fundamental data science principles and methodologies., • You are a leader, • You demonstrate strong business insight, have experience working directly with clients, and can convert commercial challenges into precise, quantitative models., • You are proficient in structuring projects, evaluating technical viability, forecasting delivery schedules, and guiding teams to produce outcomes within tight deadlines If you are interested in this or other Data Science positions, please contact Gilad Sabari @ | 02074226861

💼 Position: Senior Data Scientist 💵 Salary: £70,000 - £80,000 base + 12% flexible benefits 🌍 Location: London, UK (Hybrid – 3 days in office, 2 remote) An FTSE-listed global FinTech company is looking to hire a Senior Data Scientist in their Trading & Operations function, with deep experience leading high‑impact data science projects end‑to‑end, from problem framing and exploratory analysis through modelling, experimentation and working with MLE. You’ll collaborate with data engineering, platforms, web, messaging, analytics, marketing, risk and product. This is a key senior hire, driven by strong and growing demand for data science across the business. What you'll be doing: • Lead end-to-end data science projects: problem framing, EDA, modelling, experimentation, and working with MLEs to deploy into production, • Apply statistics, A/B testing and causal inference to inform product, growth, commercial and risk decisions, • Work with diverse structured and unstructured data across client behaviour, operations and financial domains, • Build advanced models and data products, including customer and growth models, recommendation systems, gradient boosting & ensemble methods, NLP / text analytics, time-series forecasting, & generative AI use cases, • Monitor model performance and design experiments tied to clear hypotheses, • Translate ambiguous business questions into measurable, actionable solutions, • Coach and mentor junior data scientists, raising the bar on technical quality, delivery and communication What we’re looking for: • 5+ years’ experience applying data science and ML to real-world business problems, • Strong grounding in statistics, experimentation and analytical reasoning, • Proven experience building predictive models and taking them to production, • Ability to communicate complex analysis clearly to non-technical stakeholders, • Comfortable working with imperfect, large-scale data in a fast-moving environment, • Strong Python and SQL skills, • Cloud experience (ideally GCP, but transferable skills welcomed) Nice to have: • Experience in financial services (not essential — support and training provided), • Exposure to marketing analytics or MMM projects, • Master’s level education in Data Science, Machine Learning or a related field What’s in it for you: • Competitive base salary + 12% flexible benefits, • Private medical cover (including family), • Life insurance, • Gym contribution, • 25 days holiday + birthday off + 2 volunteering days (28 total), • Buy/sell holiday options, • Unlimited access to an online learning platform Don't miss out on this incredible career opportunity! Apply now to become part of a dynamic team, or send an up-to-date resume to the details below. +1 212 970 7603

Data Scientist (Sports Analytics | Football Focus) We’re excited to be partnering with a new client – a rapidly growing sports data consultancy that is extending its Data Science team. This is a fantastic opportunity to join a business at the cutting edge of football analytics, where raw data is transformed into actionable insights that drive smarter, evidence-based decisions for clubs, organisations, and partners. With a clear focus on football, you’ll be delivering innovative data science solutions that support performance analysis, recruitment, and strategic planning. The team combines technical excellence with a genuine passion for the game, ensuring insights are both rigorous and impactful. If you’re someone who loves football and wants to push the boundaries of how data can shape the sport’s future, this is the role for you. Key Responsibilities • Apply advanced data science techniques to analyse football data and uncover insights on performance and tactics., • Build models and frameworks to profile teams and players – identifying styles of play, strengths, and weaknesses., • Develop new metrics to evaluate players (e.g. efficiency in ball retention, progressive passing, duel outcomes under pressure)., • Communicate findings effectively to both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes • Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling., • Industry experience in a data science role focussing on sports analytics., • Knowledge of advanced football metrics (possession value models highly desirable)., • A deep passion for football combined with analytical rigour and strong communication skills for club-facing work. Location: London with hybrid working available Type: Permanent Benefits: Large bonus potential, pension, private medical and free onsite gym. Impact: Work directly with clubs and partners to shape data-driven decision-making in football. Interested? This is a unique chance to join an ambitious consultancy and make your mark in sports data science. If you’d like to know more, get in touch today to discuss this new client opportunity!

Data Scientist – Mobility & Operations Intelligence (Contract) London (Croydon) (Hybrid – typically 3 days per week in office) 6–7 Month Contract (Strong likelihood of full-time conversion) Approx. £55,000 annualised equivalent (depending on experience) About Odysse Odysse is a London-based mobility technology company building intelligent fleet orchestration systems for ride-hailing and future autonomous vehicle (AV) networks. Our AI-driven decision systems influence real-world behaviour: Where vehicles move, how cities are served, and how efficiently transportation operates. We are designing the optimisation and data infrastructure that supports both today’s human-driven fleets and tomorrow’s autonomous mobility networks. This is a hands-on applied machine learning role focused on building and improving decision systems that directly influence live fleet operations and contribute to long-term autonomous fleet orchestration capabilities. You will work on logistics optimisation, real-time decision systems, simulation and operational experimentation, applying ML in complex, real-world environments. What You’ll Work On • Build predictive models using geospatial and time-series data (demand, driver behaviour, trip outcomes) and evaluate them using operational business metrics, • Partner with operations and senior team members to translate operational challenges into measurable ML problems and propose appropriate modelling approaches, • Engineer features, analyse large datasets using Python and SQL, and identify useful external data sources, • Design and support experiments contributing to fleet positioning and planning decisions, • Contribute to modelling and simulation work that supports long-term autonomous fleet orchestration and mixed-fleet (human driven + Autonomous Vehicle) operational planning, • Collaborate with operations and engineering to deploy and improve data-driven workflows, • Ideally has 3-5 years’ experience in Data Science / Applied ML / Analytics (years of experience provided as a guide), • Can independently train, evaluate and iterate on models given a clearly defined problem, • Is comfortable with Python (pandas/numpy/sklearn or similar), strong SQL, and relational databases, • Can work with imperfect real-world data and optimise for practical impact rather than just model accuracy, • Experience with time-series or geospatial datasets, experimentation or optimisation problems, • Your models affect physical movement in a city, not just clicks on a screen, • Exposure to real operational decision systems used in live fleet environments, • Opportunity to help build the data and optimisation foundations for future autonomous vehicle networks, • Work across modelling, experimentation and deployment in a product environment shaping next-generation mobility, • Work closely with senior leadership team, with exposure to global corporate partners, interacting with venture capital and strategic funders, on ambitious projects shaping the future of mobility

Senior / Lead Data Scientist - Dubai based - relocation to Dubai We are seeking a Senior / Lead Data Scientist to join our clients Marketplace team, where you will work on some of the most challenging and high-impact problem statements. This role will focus on optimizing our ETA predictions, supply & demand balancing, and real-time tracking systems—all of which are central to delivering a seamless customer experience. You will leverage your expertise in statistical modeling, machine learning, experimentation, and large-scale data analysis to develop models and insights that directly influence how millions of people move across cities. What You’ll Do • Develop and deploy predictive models for ETA, demand forecasting, surge pricing, and supply allocation., • Design and analyze A/B experiments to test product and algorithmic changes in the live marketplace., • Collaborate with product, engineering, and operations teams to translate business challenges into data-driven solutions., • Work with real-time streaming data to improve tracking, matching, and dynamic decision-making at scale., • Contribute to algorithmic improvements that optimize marketplace efficiency, reduce wait times, and improve customer satisfaction., • Mentor junior data scientists and share best practices in experimentation, model development, and applied ML. What We’re Looking For • A minimum of 5+ years of experience in Data Science, Machine Learning, or Applied Statistics (experience in high-scale consumer tech or mobility is a plus)., • Strong programming skills in Python and proficiency with SQL, • Deep understanding of probability, statistics, and hypothesis testing, with hands-on experience in A/B testing and causal inference., • Proven experience in building and deploying ML models (forecasting, classification, regression, time-series, recommendation systems, etc.)., • Familiarity with big data technologies (Spark, Hadoop, or similar) is a plus., • Excellent problem-solving and communication skills, with the ability to influence cross-functional stakeholders. Why Join Us • Opportunity to work on high-impact marketplace problems that shape real-world mobility., • A data-driven culture where experimentation and innovation are encouraged., • Collaborative environment with top-tier engineers, product managers, and scientists., • Competitive compensation, benefits, and career growth opportunities.

Senior Data & AI Scientist | Up to £80,000 + 10% Bonus | Hybrid (London 3 days) Are you passionate about shaping the next generation of AI-powered products? Join a dynamic, fast-moving business that’s embedding AI into everything from customer interactions to internal tools. We’re looking for an experienced Data & AI Scientist to help drive innovation across cutting-edge AI initiatives — from chatbots and voice assistants to advanced retrieval-augmented generation (RAG) systems and agentic workflows. The Role You’ll work closely with the AI Engineering and Data Science teams to: • Develop and prototype AI-driven solutions across customer-facing and internal applications., • Build and optimise LLM-based assistants, RAG pipelines, and agentic AI workflows., • Collaborate on the architecture and deployment of scalable AI solutions (with support from engineering)., • Partner with stakeholders to translate business needs into practical, intelligent systems., • Mentor junior team members and contribute to the evolution of our AI tooling stack. This role is ideal for a hands-on AI practitioner who enjoys experimentation, collaboration, and delivering real-world value. What You’ll Bring • 3+ years experience in a commercially driven customer environment, • Strong Python skills and solid grounding in AI/ML fundamentals., • Experience with some of Databricks, LangChain, vector databases, or LLM orchestration tools., • Knowledge of RAG pipelines, transformers, and modern AI architectures., • Understanding of deployment or MLOps best practices (Azure experience a plus)., • Recent, hands-on experience with applied LLM projects., • Strong communication and stakeholder engagement skills. A Master’s degree in Computer Science, ML, or AI is preferred but not required. The Opportunity • Be part of an ambitious AI journey - already 70% built, with big plans for the next 5 years., • Contribute to short-term LLM “quick wins” and longer-term agentic AI development., • Work in a collaborative, supportive environment with senior data leaders., • Help shape how AI transforms both customer experience and business efficiency. Package & Details • Salary: Up to £80,000 + 10% Bonus + 5% Matched Pension, • Hybrid working: 3 days per week in London office (Tues/Weds fixed), • No visa sponsorship available Apply below!

About the Team: You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with the assurance they need to operate securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base. Position Overview: We are looking for an Applied Scientist II to design and train cutting-edge machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What you will be doing: • Push the frontier of research in areas such as deepfake detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML., • Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: • Implement bias-mitigation strategies to build fair face-matching and deepfake-detection models., • Train and benchmark large-scale vision-language models for document extraction., • Train a multi-modal document understanding model from scratch using synthetic data., • Optimise LoRA adapter latency in PEFT/Triton., • Profile, debug and improve model training speed on multiple GPUs., • Create a large-scale dataset for deepfake detection., • Experiment with multimodal models to detect fraud. You may be a good fit if you: • Have strong experience in machine learning and computer vision., • Have a strong record of successfully delivering high-performance ML-driven products., • Have a deep understanding of machine learning theory., • Have strong coding skills in Python and PyTorch., • Care about building fair and cutting-edge machine learning products. Strong candidates may also have: • Technical experience in one or more of the following areas: face matching, bias mitigation, anomaly detection, document understanding or on-device ML., • Published at top-level machine learning conferences. Experience optimising (distributed) training code. Where you will be: This role is based in our London, UK office and follows a hybrid model, requiring in-office presence three days per week. Benefits UK • 25 days annual leave plus a day off for your Birthday., • Two paid volunteering days per year.*, • Bupa Private Medical and Dental Insurance*, • Pension with The People’s Pension (employer contribution 4% of base salary)*, • Generous paid parental leave, • Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy, • Dedicated learning opportunities including using tools like Linkedin Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more, • Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events, • Expense up to £300 (or local equivalent) to purchase workstation setup equipment, • The opportunity to become a member of Entrust’s resource groups in order to learn different skills in our belonging groups Ready to Make an Impact? If youʼre excited by the prospect of working on cutting-edge machine learning for problems that matter, Entrust is the place for you. Join us in making a difference. Letʼs build a more secure world—together. Apply today! NO AGENCIES, NO RELOCATION #LI-GR1 #ENT123

ABOUT DESCARTES UNDERWRITING Descartes was born out of the conviction that the ever-increasing complexity of risks faced by corporations, governments and vulnerable communities calls for a renewed approach in insurance. Our team brings together industry veterans from the most renowned institutions (AXA, SCOR, Swiss Re, Marsh, Aon, ...) and scientists on top of their field to bring underwriting excellence. After 5 years of existence, Descartes has secured a leading position in parametric insurance for weather and climate-related risks utilizing machine learning, real-time monitoring from satellite imagery & IoT. After a successful Series B raise of $120M USD, we launched Descartes Insurance, a 'full stack' insurer licensed to underwrite risk by the French regulator ACPR. With a growing corporate client base (400+ and counting), our diverse team is headquartered in Paris and operates out of our 18 global offices in North America, Europe, Australia, Singapore and Japan. Descartes is trusted by a panel of A-rated (re)insurers to carry out its activities. ABOUT YOUR ROLE Due to rapid growth, we are seeking to expand our Data Science team and we are looking for Data Scientist Interns (end of studies) to be part of our team based in London. The Underwriting team takes action subsequently in modeling, structuring and pricing of parametric insurance covers to deliver insurance products to a worldwide based public sector and corporate clients in a few day to a year timeframe. These roles will allow you to gain knowledge of the insurance industry and the emerging risks (natural catastrophes, cyber…), all while collaborating closely with other internal teams (Software, Operations, Legal and Commercial) and our external partners. At the core of our company’s strategy, your missions will focus on : • Conducting structuring work, risk analysis and insurance proposal for worldwide public sector and corporate clients;, • Discussing business opportunities with Descartes’ partners and being responsible for technical documentation and insurance contracts redaction;, • Collaborating with the business team to understand client needs and issues to further improve our product offering;, • Participating in the development of Descartes’ technological platform to differentiate Descartes from its competitors (models and pricing tools);, • Working autonomously and pragmatically to make appropriate technical decisions with attention to details. Your missions will evolve in the future as Descartes is growing fast and many exciting projects are waiting for you. It's a unique opportunity to take a closer look inside a fast-growing scale up with huge ambitions ABOUT YOU EXPERIENCE & QUALIFICATIONS • Student from academic institutions, universities or engineering schools with a specialization in computer science, applied mathematics, climate, meteorological studies or data science for business;, • Keen interest in climate related topics;, • Highly skilled in statistics, probabilities, applied mathematics and machine learning methods;, • Eye for quality and attention to detail;, • Fluency in English (written and verbal communication) is required;, • Proficiency in Python (e.g. pandas, scikit-learn);, • Interested in weather and natural perils modelling (wildfires, hail, tsunamis, earthquakes etc);, • Excellent team player able to work under pressure and respect deadlines;, • Strong desire to learn and commitment to the organization’s mission;, • Results oriented, high energy, with the ability to work in a dynamic and multi-cultural environment;, • Motivated to help improving businesses’ and communities’ resilience to climate change. WHY JOIN DESCARTES UNDERWRITING ? • Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence;, • Work in a collaborative & professional environment ;, • Be part of an international team, passionate about diversity ;, • Join a company with a true purpose – help us help our clients be more resilient towards climate risks;, • Attractive remuneration according to the profile, meal voucher, 60% transport reimbursement. At Descartes Underwriting, we cherish the value of diversity whatever it may be. We are committed to fighting against all forms of discrimination and for equal opportunities. We foster an inclusive work environment that respects all differences. With equal skills, all our positions are open to people with disabilities. RECRUITMENT PROCESS • Step 1: HR Interview with our Talent Recruiter, • Step 2: At home technical online test (Github repository), • Step 3: Remote technical interview with a Data Scientist, • Step 4: In-person team interview to meet our team and discover our offices (held remotely if you are abroad)

Join us at Entrust At Entrust, we’re shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely. Get to Know Us Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting-edge, scalable technologies. But our secret weapon? Our people. It’s the curiosity, dedication, and innovation that drive our success and help us anticipate the future. About the Team: You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with the assurance they need to operate securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base. Position Overview: We are looking for a Senior Applied Scientist to design and train cutting-edge machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What you will be doing: • Push the frontier of research in areas such as deepfake detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML., • Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: • Implement bias-mitigation strategies to build fair face-matching and deepfake-detection models., • Train and benchmark large-scale vision-language models for document extraction., • Train a multi-modal document understanding model from scratch using synthetic data. Optimise LoRA adapter latency in PEFT/Triton., • Profile, debug and improve model training speed on multiple GPUs., • Create a large-scale dataset for deepfake detection., • Experiment with multimodal models to detect fraud. You may be a good fit if you: • Have strong experience in machine learning and computer vision., • Have a strong record of successfully delivering high-performance ML-driven products., • Have a deep understanding of machine learning theory., • Have strong coding skills in Python and PyTorch., • Care about building fair and cutting-edge machine learning products. Strong candidates may also have: • Technical experience in one or more of the following areas: face matching, bias mitigation, anomaly detection, document understanding or on-device ML., • Published at top-level machine learning conferences. Experience optimising (distributed) training code. Where you will be: This role is based in our London, UK office and follows a hybrid model, requiring in-office presence three days per week. Benefits UK • 25 days annual leave plus a day off for your Birthday., • Two paid volunteering days per year.*, • Bupa Private Medical and Dental Insurance*, • Pension with The People’s Pension (employer contribution 4% of base salary)*, • Generous paid parental leave, • Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy, • Dedicated learning opportunities including using tools like Linkedin Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more, • Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events, • Expense up to £300 (or local equivalent) to purchase workstation setup equipment, • The opportunity to become a member of Entrust’s resource groups in order to learn different skills in our belonging groups Ready to Make an Impact? If youʼre excited by the prospect of working on cutting-edge machine learning for problems that matter, Entrust is the place for you. Join us in making a difference. Letʼs build a more secure world—together. Apply today! NO AGENCIES, NO RELOCATION #LI-GR1 #ENT123

Description Haver Analytics is the premier provider of time series data for the global strategy, research and quant communities. We deliver primary-sourced databases, a wealth of key survey and forecast data from our industry partners, and a robust offering of archive databases that drive machine learning for big data applications. We continuously display up-to-the-minute data from over 2500 government and private sources via integration with Microsoft Office and all leading statistical packages through our DLX® software and platform-independent HaverView(TM). We pride ourselves on the quality of the data and ease of access, as well as the speed at which it is updated and supported. Founded in 1978, Haver is headquartered in New York City with offices in London, Singapore and Tokyo. Job description Haver Analytics seeks an Account Representative as part of our expanding Account Management team to join our growing team of consulting support professionals. Haver provides professional services to the community of economists, data scientist, strategists and risk managers within the corporate marketplace and public sector. This is an exciting opportunity for anyone interested in learning the business of professional big data analytics, risk management and economic research. The Account Representative position is full time and will be based in our London office. Minimum qualification for the position is an undergraduate degree in Economics, Finance or a related discipline with fluency in French or German to support our growing client base across Europe. Candidates should have the flexibility to travel internationally. The Haver London office is a growing field office supporting a diverse set of clients including central banks, buy side/sell side and large non-financial corporations. Key Responsibilities Support and promote adoption of Haver’s services: • Providing on-line and on-site training on Haver Analytics software, • Applying a consultative approach to training and become an expert in “knowing your audience”, • Supporting the account management team to identify opportunities within the existing client base and assisting with onboarding new clients, • Communicating effectively new software and data developments from Haver., • Managing and facilitating occasional project work in platforms such as Excel, • Attending trade shows and sales related events Requirements • Bachelor’s degree in economics, Finance or related discipline., • Fluency in English and either French or German, • Strong written and verbal communication., • Ability and willingness to travel internationally, • Exposure to statistical platforms such as Python and R (desirable though full training provided), • Previous experience in a customer service industry (desirable) Job Benefits • Hybrid/Flexible Working (3 days in office), • Central London location, • Support for on-going training and education both internally and externally, • Competitive salary and generous commission-based activity plan, • Private Health Insurance, • Company Phone

A global lifestyle brand is seeking an MMM Data Scientist to support its global marketing effectiveness strategy. In this role, you will help expand and optimise Marketing Mix Modelling across markets, delivering insights that guide smarter media investment and drive performance across channels. Responsibilities • Develop and maintain MMM and MTA models to measure channel performance, • Analyse multi-channel marketing data to identify performance drivers and ROI, • Support model rollout in new countries and monitor ongoing performance, • Collaborate with marketing, analytics, and data engineering teams to ensure accurate data inputs, • Continuously refine modelling approaches and explore new methodologies, • Translate complex modelling outputs into clear, actionable insights, • Present findings to senior stakeholders through compelling storytelling, • Build dashboards and visualisations to monitor marketing performance, • Contribute to optimising media planning using MMM outputs Requirements • Experience in econometric modelling and advanced analytics, • Strong Python/SQL skills and familiarity with MMM tools (e.g., PyMC, Robyn, Meridian), • Understanding of marketing channels, metrics, and retail/luxury environments, • Experience with cloud platforms (AWS, GCP, Snowflake), • Ability to work cross-functionally and communicate complex concepts clearly, • Knowledge of incrementality testing (e.g., GeoLift) is a bonus Details • Start date: ASAP, • Contract: 12 Month FTC, • Salary: £65–£75k, • Location: Hybrid, 2-3 days per week in London

Hiring: Data Scientist – Contract (Inside IR35) Location: Waterside, UK Role Type: Contract Role Title: Data Scientist Role Overview We are looking for a Data Scientist to join a full-stack product squad delivering operations decision-support software. This role focuses on building industrialised optimisation and machine learning models, working end-to-end from problem definition to production deployment. You will collaborate closely with product, engineering, and business stakeholders to deliver high-impact, data-driven solutions. Key Responsibilities • Develop data pipelines, machine learning, and optimisation models in Python, • Build and industrialise ML/optimisation algorithms using best-practice software engineering principles, • Implement automated data cleaning pipelines and workflow orchestration (e.g. Dagster), • Integrate ML/optimisation models into full product stacks (data ingestion, UI, orchestration), • Deploy solutions using CI/CD in a cloud environment, • Build robust logging, testing (unit/regression), and error-handling frameworks, • Analyse adoption, performance, and business value of deployed models, • Engage with business stakeholders to gather requirements and feedback, • Contribute to Agile squad ways of working, code reviews, and technical documentation Required Skills & Experience • Strong knowledge of machine learning and/or optimisation techniques, • (Regression, Tree methods, Clustering, Linear / Mixed-Integer Programming, Heuristics), • Strong Python experience (scikit-learn, pandas, numpy, optimisation libraries), • Experience building production-ready ML or optimisation solutions, • Solid understanding of CI/CD, Git version control, and cloud platforms (AWS preferred), • Strong data engineering skills in Python and SQL, • Experience with automated testing (unit, integration, end-to-end), • Ability to communicate complex technical concepts to non-technical stakeholders Nice to Have • Experience with MLflow, DVC, SageMaker, • Workflow orchestration tools (Dagster / Airflow), • Containerisation (Docker, ECS), • Domain experience in transportation, airlines, operations, or network optimisation Qualifications • Master’s degree in Data Science, ML, Operational Research OR, • 2+ years of highly relevant industry experience, • 0–2 years experience working on production ML/optimisation products at scale

Senior Machine Learning Scientist – AI Computational Biology (Remote, UK) Location: Remote (UK-based, London time zone) Type: Full-time Focus: Genomics, single-cell biology, production ML systems ( RNA-Seq AND WGS) The Opportunity We’re building production-grade computational methods that turn complex biological data into robust, interpretable biomarkers used daily to advance cancer research and drug development. This is not a purely exploratory research role. You’ll take true end-to-end ownership of methods that sit between raw omics data and biological interpretation — designing them, stress-testing them, and running them reliably in production. If you enjoy combining deep machine learning, real biological signal, and strong engineering practices, this role is built for you. What You’ll Do Own production biomarker methods • Design and implement genomics and transcriptomics pipelines (RNA-seq, single-cell, WGS/WES)., • Turn complex molecular data into scalable, reproducible biomarkers with clear assumptions and limitations., • Develop and fine-tune deep learning models for biological representation learning (e.g. single-cell, multimodal data)., • Prototype AI-driven approaches (including LLMs and agentic workflows) for hypothesis generation and interpretation., • Track new approaches from literature and open source., • Implement, benchmark, and critically assess robustness and generalisability., • Drive adoption decisions based on evidence, not novelty. What We’re Looking For Background • MSc / PhD (or equivalent industry experience) in Machine Learning, Computer Science, Computational Biology, Bioinformatics, or related field., • Strong Python skills with experience building complex ML or data-processing pipelines., • Hands-on experience with omics data (single-cell RNA-seq, bulk RNA-seq, WGS/WES, or multimodal genomics)., • Deep learning experience (e.g. transformers, VAEs, contrastive learning, GNNs)., • Familiarity with production-quality practices:, • Version control (Git), • Reproducibility & testing, • Enjoys owning methods long-term, not just publishing or prototyping., • Comfortable working across biology, ML, and engineering., • Able to clearly explain trade-offs to both technical and non-technical stakeholders.

Senior Scientist/Manager - RWE/Epidemiology Remote based (UK) A rare opportunity to join a mid-sized, highly scientific, international healthcare consultancy providing a range of innovative services to biopharma industry clients and other health bodies/initiatives such as health equity and inequality focused projects. Combining both traditional and novel analytical approaches with diverse real-world data, including genomic, medical record, claims and patient-reported information, has allowed my client to inform Life Sciences/Pharma company internal decision making as well as submissions and presentations to regulators; health technology assessment authorities and payers; the medical community; and, patient organizations. The Epidemiology team and this position: The RWE/Epidemiology team consists of scientific experts, analysts & data scientists who support/lead study design, methodology development and result interpretation across a broad range of RWE/HEOR studies, for the pharmaceutical industry. The professional in this position will demonstrate a passion for the generation of rigorous and relevant RWE, ensuring delivery of high-quality evidence and outputs. You will independently drive study design, oversee data analysis and interpretation, and lead collaboration with clients and cross-functional teams. This individual will play a key role in advancing the organization’s epidemiologic and real-world data capabilities and supporting high-impact evidence generation for regulatory, clinical, and commercial use. Accountabilities within this role: • Lead and refine epidemiological study designs, addressing complex methodological challenges., • Oversee protocol development, analysis plans, and study reports ensuring clarity and quality., • Interpret results independently and communicate findings effectively to clients and stakeholders., • Apply deep therapeutic and coding expertise to align study design with data needs., • Utilise advanced knowledge of real-world data sources to guide study feasibility and interpretation., • Lead cross-functional teams and mentor junior epidemiologists., • Drive innovation and contribute to scientific thought leadership., • Manage multiple projects, ensuring timely, high-quality deliverables., • Support business development through proposal leadership and client engagement. Ideal profile: • MSc or PhD in Epidemiology/relevant field, • 5+ years of Epidemiological research experience, with substantial RWE focus in consulting, pharmaceutical or biotech settings (previous private sector/consulting experience highly desirable), • Experience working with secondary data, claims, EHRs, etc., • Proven leadership in study design, client interaction, and team management., • Deep expertise in epidemiological methodologies, therapeutic areas, and medical coding., • Strong record of scientific communication, including authorship and presentations., • Excellent interpersonal skills for mentoring, collaboration, and client engagement., • Exceptional organisational skills and attention to detail, • Flexibility to adapt to client project needs and handle competing priorities in a fast-paced workplace Competitive base salary, annual performance bonus and strong benefits package on offer. Don't miss out on this rare opportunity to join a close-knit, people focused company going through an exciting growth phase, becoming one of the leading specialist consulting teams in the RWE/HEOR space. Apply or reach out now for more information -

Technical Account Manager London - Hybrid or UK - Remote About Snowplow Snowplow is the global leader in customer data infrastructure for AI, enabling every organisation to transform raw behavioural data into governed, high-fidelity fuel for AI-powered applications—including advanced analytics, real-time personalisation engines, and AI agents. Digital-first companies like Strava, HelloFresh, Auto Trader, Burberry, and DPG Media use Snowplow to collect and process event-level data in real time, delivering it securely to their warehouse, lake, or stream, and integrate deep customer context into their applications. Thousands of companies rely on Snowplow to uncover customer insights, predict customer behaviours, hyper-personalise customer experiences, and detect fraud in real time. The Opportunity The Technical Account Manager (TAM) sits within our Technical Services team and reports to the Technical Account Management Lead. This customer-facing role blends technical expertise with consultative support, helping customers solve problems and get value from their data using Snowplow. We view customer activation as key to retention and success. TAMs work closely with clients to understand their data goals and design tailored implementations that drive business outcomes. We’re looking for a technically savvy, data-driven individual who thrives in a fast-paced environment and enjoys working with data teams to co-design solutions, implement use cases, and demonstrate impact. The role involves close collaboration with cross-functional teams—Engineering, Product, Sales, Support, and Marketing—to optimise customer strategies and expand use cases. What you'll be doing: ● Partner with various Snowplow team members to support customer accounts, collaborating with them to deliver value within their unique and complex organisations. ● Provide consultation and advisory support to customers regarding solutions and use case development, by providing actionable execution of success criteria and solutioning complex problems. ● Work with customers to identify, diagnose and resolve technical challenges with their Snowplow solution – including front-end implementation, data modelling, real-time data processing, and more. ● Educate and enable our customers through tailored workshops and advisory sessions. ● Collaborate with our Solution Architects, to develop and evolve technical assets such as data models, implementation strategies, architectures, and supporting code to bring value to our customers as well as our internal teams. ● Develop domain expertise in key verticals through deep customer collaborations, general research and industry events/conferences. ● Work closely with the Customer Success and Strategic Account Management teams to develop long-term strategies and roadmaps for activation and adoption of Snowplow’s products. ● Continue learning and staying current with our products and related technologies, to assist and train both customers and other team members We’d Love to Hear From You If Have: ● A solid understanding of the data space - cloud infrastructure, database technologies, visualisation tools and other enabling technologies in the modern data stack. ● Experience working either client-side or agency-side as an analyst, analytics engineer, data engineer, data consultant, or data scientist. ● SQL and data modelling experience, and proficiency at manipulating data. ● Experience with direct management of a customer portfolio for continual successPrevious experience designing and implementing complex software solutions, including gathering/developing requirements and interacting with senior technical stakeholders (e.g. CTO, VP, Tech Lead). ● Previous experience of using Snowplow, (either BDP or open source) is ideal but not required What We Offer You in Return: A competitive package, including share options Flexible working A generous holiday allowance no matter where you are in the world MacBook and home office equipment allowance Enhanced maternity, paternity, shared parental and adoption leave Snowplow is dedicated to building and supporting a brilliant, diverse and hugely inclusive team. We don't discriminate against gender, race, religion or belief, disability, age, marital status or sexual orientation. Whatever your background may be, we welcome anyone with talent, drive and emotional intelligence. \n#J-18808-Ljbffr

Data scientist- Principal Data Scientist/Senior Machine Learning Scientist/AI/ML Solution Architect Key Responsibilities • Lead end-to-end machine learning solution delivery for complex enterprise use cases, • Translate ambiguous business challenges into structured ML problem statements and solution architectures, • Design, develop, and optimise advanced machine learning models including:, • Supervised and unsupervised learning, • Ensemble methods, • Deep learning architecture, • Optimisation and probabilistic models, • Evaluate and select appropriate algorithms based on data characteristics, performance trade-offs, scalability, and interpretability requirements, • Apply knowledge of deep learning architectures such as:, • CNNs for vision use cases, • RNNs / LSTMs / GRUs for sequential data, • Transformer architectures for NLP and structured data, • Fine-tuning and transfer learning approaches, • Drive experimentation frameworks, hypothesis testing, model validation, and statistical rigor, • Ensure robustness, generalisation, bias mitigation, and explainability in deployed models, • Provide technical direction on feature engineering strategies and model performance enhancement, • Collaborate with engineering teams to transition models into scalable production systems, • Mentor data scientists and uphold modelling standards, documentation, and reproducibility best practices, • Contribute to reusable ML frameworks, accelerators, and innovation initiatives Required Experience & Qualifications • 15+ years of total professional experience, including, • 8+ years of hands-on experience in machine learning and data science, • Advanced degree (Master’s or PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or related quantitative discipline, • Proven experience building and deploying advanced ML and deep learning models in enterprise environments, • Deep understanding of algorithm selection, model complexity trade-offs, and overfitting/underfitting dynamics, • Strong proficiency in Python and ML ecosystems (scikit-learn, pandas, NumPy), • Experience with deep learning frameworks (PyTorch or TensorFlow), • Practical knowledge of deep learning architectures (CNNs, RNNs, Transformers) and when to apply them, • Strong SQL and data manipulation capabilities, • Experience working with large-scale datasets and distributed compute frameworks (e.g., Spark), • Demonstrated ability to independently lead technical ML solution design, • Experience working in client-facing delivery environments, • Exposure to cloud-based ML platforms (AWS, Azure, or GCP), • Experience in NLP, Computer Vision, time-series forecasting, or optimisation, • Experience with fine-tuning large language models or foundation models, • Familiarity with ML lifecycle management and monitoring practices

Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python). Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. Work closely with data scientist

Senior / Principal Data Scientist Location: Abu Dhabi, UAE (relocation support provided) Compensation: £120,000–£300,000 total compensation (fully guaranteed, all-in) The Role We are building a centralised data science function inside a quantitative investment platform. This is not an asset-class desk role and not a downstream analytics or reporting position. The team exists to work with large, messy, often unstructured data and determine how that data can and cannot be used in systematic investing. Most of the work is greenfield. There are no inherited frameworks to follow and no fixed playbooks. You will be expected to reason from first principles, design your own experimentation standards, and build research systems that other teams rely on. You will operate as a senior individual contributor. This is a hands-on role for people who want deep ownership rather than line management. What You’ll Do • Building data-driven research systems on large, noisy datasets, • Working with alternative and unstructured data such as transactions, text, imagery, sensor or network data, • Designing experiments to understand signal quality, bias, coverage, and failure modes, • Developing forecasting, optimisation, anomaly detection, or risk-aware models used in real decision-making, • Analysing regime shifts, drift, and breakdowns in modelling assumptions, • Translating research into production-grade components and owning them end-to-end, • Working closely with quantitative researchers and data engineers to shape how data is sourced and used across the firm Who This Is For This role suits people who are genuinely obsessed with data, enjoy ambiguity, and like investigating problems where structure is not obvious. You’re likely a strong fit if you: • Strong foundations in statistics, probability, and applied machine learning, • Fluency in Python and experience writing production-quality, testable code, • Clear evidence that you have personally designed and built systems, • Experience working directly with large, imperfect datasets, • Modern data architectures (e.g. lakehouse or columnar analytics), • High-performance data tools (e.g. Polars, Julia), • System-design thinking and data-lifecycle awareness, • Performance-critical workflows or systems-level tooling (e.g. Rust) Relevant Backgrounds (Finance or Non-Finance) We consider candidates from a wide range of backgrounds, provided their experience maps to the challenges of quantitative data research. Compensation & Benefits • Fully guaranteed, competitive compensation, • Education allowance for dependent children, • 30 working days of annual leave, • Comprehensive healthcare for employee and family, • Business class relocation flights, • Joining and departure allowances The role is on-site in Abu Dhabi. Short-term remote work during the peak summer months is supported, along with generous leave and public holidays. The working model is designed for long-term sustainability and family life. How to Apply Send your CV and a brief summary of relevant experience to

Do you want to build data science solutions that improve lives, not clicks? Would you thrive working directly with healthcare and public sector clients on the front lines of care delivery? Are you looking for impact-led projects where you own delivery end-to-end? A leading UK consultancy is scaling its AI & Data Science team to drive measurable outcomes in the healthcare and public sectors. Known for embedding hands-on technical teams with clients, they specialise in delivering real-world impact across complex, regulated environments. With a strong consulting culture and growing AI footprint, they’re tackling meaningful public health challenges using ML, NLP and simulation. Expect high visibility, autonomy, and the opportunity to shape an expanding capability. You’ll work with public health & social care stakeholders to solve critical challenges — from fall prevention using clinical data to streamlining patient care pathways. The role combines technical depth with consulting breadth, requiring both hands-on ML work and the ability to influence delivery at scale. They’re hiring at Lead (3–5 years’ experience) and Principal (5–10+ years) levels. Key Responsibilities • Build and deploy ML and NLP models for public health and social care, • Work with structured data, clinical notes and unstructured healthcare datasets, • Partner with client teams to define, iterate, and deliver data-driven solutions, • Lead multidisciplinary delivery teams and translate insights into real-world KPIs Key Details • Salary: £80,000 – £150,000, • Working model: On-site 3+ days/week with UK healthcare clients, • Tech stack: Python, NLP libraries, MLflow, Databricks, Azure, simulation tools, • Visa: This role cannot sponsor Interested? Please apply below.

A UK-based health and wellbeing organisation is hiring a Data Scientist to build and deploy production ML and GenAI systems. The role is hands-on and end to end, covering data preparation, model development, and deployment across traditional ML and LLM-based use cases. You will work on real production problems rather than research-only work, owning models from first iteration through to live deployment. You will collaborate closely with other data scientists, data engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform. Tech stack: • Python, • PyTorch or TensorFlow, • scikit-learn, • Spark, • Kafka, • Databricks, • LangChain and RAG-based GenAI systems, • Cloud-native Azure environment Important Details: • Fully remote across the UK, • Up to £80,000 - £100,000 (DOE), • 2-3 stage interview process, • No sponsorship available Interested, or know someone who would be? Click apply or get in touch directly on

AI Data Scientist Remote, UK 12 month contract £600-£700 per day Inside IR35 I am exclusively partnered with a leading enterprise B2B2C company who are seeking a Senior Data Scientist who's worked on AI programs at scale to join them on a contractor basis, initial duration 12 months. You'll work on the greenfield build of an AI Chatbot, alongside a team of AI Engineers, Data Scientists, We are seeking people who have built things from scratch, rather than using vendor frameworks / off the shelf tools. You'll have built and deployed AI products as well as the scaffolding around them.

Senior Data Scientist - Experimentation Contract Length: 6 months Rate: £650pd (Inside iR35 if UK based) Location: Fully Remote Start: ASAP Digitech are partner with a globally recognised tech brand, with unicorn status, who are seeking a highly experienced Senior Data Scientist to join on a 6 month contract and drive experimentation, insights, and strategic decision-making across the business. This role requires someone who can hit the ground running, operate autonomously, and communicate effectively with senior stakeholders. You will work across a variety of complex analytical problems, owning experimentation end-to-end—even when ideal conditions such as user randomisation or high statistical power are not present. Responsibilities: A/B tests Difference-in-difference Pre-/post-analysis • Low-power and constrained-randomisation experimentation, • Partner closely with senior non-technical stakeholders to translate business needs into analytical solutions., • Communicate complex concepts clearly, in person, in writing, and through well-structured analytical code., • Mentor and support junior analysts/data scientists., • Deliver meaningful business impact quickly by identifying opportunities, prioritising effectively, and executing with speed., • Apply strong problem-solving and critical-thinking skills to uncover insights and guide decision-making., • Work cross-functionally to ensure data science outputs are actionable, practical, and aligned with business priorities. Required Skills: • 6+ years of experience in Data Science or related analytical roles., • Deep expertise in experimentation, including advanced techniques and real-world constraints (e.g., no randomisation, low-power scenarios)., • Proficient in Python or R, with strong hands-on experience in statistical modelling and experimentation frameworks., • Strong knowledge of SQL for data extraction and manipulation., • Exceptional communication skills, with the ability to engage senior non-technical stakeholders., • Proven ability to work autonomously, deliver impact quickly, and manage competing priorities., • Strong analytical mindset with high attention to detail and a pragmatic approach., • Demonstrated ability to think creatively and translate ambiguous business questions into clear analytical approaches., • Experience coaching or leading junior team members.

Lead Data Scientist (remote) Search, Ranking, Retrieval and LLM Modelling Early Stage AI Company We are working with a fast growing early stage company that is building a new intelligence layer for the next era of product discovery. With AI assistants becoming the first place consumers turn to for information and recommendations, brands need to understand how these systems interpret products, surface them and prioritise them across different conversational and search environments. This is exactly what this company solves. They already partner with global consumer brands and now want to hire a Lead Data Scientist to architect and own the modelling engine that powers the platform. This is a hands-on role with serious technical ownership. You will design and build the systems that identify the signals that matter most for visibility, the retrieval and embedding architecture that feeds the models, the ranking and scoring framework that prioritises actions and the evaluation layer that measures how different LLMs behave across queries, surfaces and contexts. You will work across ranking signals, vector and semantic representations, entity understanding, graph-based relationships, model serving, observability, cost and latency optimisation, and the connection between unstructured signals and automated recommendations. You will also help shape the long-term ML strategy, including platform design, experimentation frameworks and the future of the discovery engine. This role suits someone who has experience in search, ranking, retrieval or recommendation systems at scale and who enjoys building practical production models rather than working in isolation. You will work closely with the founder and have real influence over the direction of the product and the future of the intelligence stack. The package is strong and comes with a competitive base plus bonus and meaningful early-stage equity with genuine upside. If you are interested in joining a company at a stage where your work will directly shape the product, the system and the category, we would like to speak with you.

This Data Scientist Specialist role requires candidates who already hold active SC clearance. Join a highly regarded digital, data, and technology consultancy recognised for delivering advanced analytics, AI, and data-driven solutions within secure government, defence, and public sector environments

Key Stakeholder Relationships -.Product owners, software developers, testers, delivery managers, professional services teams, and technical architects.Working as part of an Agile technology team within a fast growing SaaS organisation, the Data Specialist / Data Scientist will be responsible for des

We are supporting them in the search for an experienced Lead Data Scientist to shape, scale and lead their enterprise-wide AI capability. Defining technical standards, best practices and governance for Data Science and MLOps. Building, mentoring and developing a high-performing Data Science team.

This leading and exciting Insurer are seeking a detail-oriented and organised Motor Insurance Pricing/Data Practitioner to join their Pricing and Underwriting team. If you're passionate about using data, tech, and creativity to push the boundaries of insurance pricing, we’d love to hear from you.

You will act as the technical lead for a team of 4-5 Data Scientists, providing task direction, code and model oversight, and setting technical standards - without formal line management responsibility. Provide technical leadership and task oversight to a team of Data Scientists.

Senior Data Scientist - Customer Data. We are seeking an experienced, passionate, and highly motivated Senior Data Scientist to play a pivotal role in unlocking the value of customer data and shaping how it is used across the business. This is an excellent opportunity for a senior-level data scienti

We have partnered with a leading commercial insurer to recruit a Data Science Analyst to join a newly created Transformation function within Underwriting.This is an exciting opportunity to support the development of a centralised analytics capability, helping drive improved insight and decision-maki

Lead Data Scientist Salary: £120K - £140K + Equity Location: London in office Data Idols are working with a rapidly scaling technology company which is redefining how large, highly regulated organisations produce, validate, and deliver client-facing work. They are now hiring a Lead Da

Join RSSB as Lead Data Scientist and drive innovation by introducing new tools and frameworks, inspiring a culture of continuous improvement and experimentation.As Lead Data Scientist, you will oversee analytical and machine learning projects, making sure our digital products address real-

They are now hiring a Lead Data Scientist to take full ownership of their data ecosystem and help shape how the company operates, measures success, and makes decisions. Data Idols are working with a rapidly scaling technology company which is redefining how large, highly regulated organisations prod

MMM Data Scientist (Staff Level). Staff-Level MMM Data Scientist. Strong Python, SQL, dbt, and data visualisation skills.

You wont be training models day-to-day like a Data Scientist; instead, youll enable Data Science by delivering high-quality datasets, reproducible training pipelines, robust deployments, and monitoring that keeps ML systems healthy and trustworthy. Were looking for a Data Engineer with strong MLOps

Method Resourcing is supporting a high-growth data function in central London who are building out their Data Science capability and looking for an experienced Senior Data Scientist ready to progress into a leadership role. Senior Data Scientist - £75,000 to £85,000 + 3 days a week onsite.