Average Data Scientist salary in the UK

Data Scientist - Hybrid - LiverpoolDo you enjoy turning complex data into clear, actionable insight Are you confident working with large datasets, advanced analytics and senior stakeholders Our legal client is seeking a Data Scientist to drive innovation and strengthen its value proposition to insurer partners. This role sits at the heart of the organisation's data and analytics capability, working closely with teams across the business to improve data quality, accessibility and decision making. You will analyse complex datasets, build predictive models and translate insight into outcomes that support both commercial and operational confidence.Responsibilities * Collect, process and analyse large, complex datasets to identify trends, risks and opportunities * Design, develop and maintain data models, algorithms and predictive analytics solutions * Create dashboards and reports in Power BI to clearly visualise insights and performance metrics * Work collaboratively with cross functional teams and stakeholders to deliver data driven solutionsRequirements * Degree in Data Science, Computer Science, Statistics or a related discipline * Proven experience in data analysis, statistical modelling and machine learning techniques * Strong skills in Python, R and or SQL with experience using Power BI for data visualisation * Commercial awareness with strong communication skills and the ability to influence stakeholdersBenefits * Minimum 25 days holiday plus bank holidays with a hybrid working model * Medicash cash plan, wellbeing tools and life assurance at four times salary * Pension scheme, volunteering days and matched charitable giving * Ongoing training, development opportunities and funded social events

Salary: Up to £75k DOE + Bonuses & BenefitsLocation: Cheltenham (3 days on-site per week)Security Clearance: Active Enhanced DV (West) RequiredKey Skills: Machine Learning, AWS/Azure, Python, NLP, AIWho We Are?We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised leader in technology, consulting, and engineering services. Working across high-impact public and private sector projects, this role offers excellent career progression and the opportunity to work at the forefront of innovation in AI, machine learning, and data science.What Will You Be Doing?Applying advanced data science and machine learning techniques to solve complex challengesConducting research and innovation to develop cutting-edge solutionsKeeping up to date with the latest developments in ML and data technologiesEngaging in the full data science lifecycle, from data collection to model deploymentProducing clear and well-documented technical outputsDelivering high-quality, impactful project componentsProviding practical, data-driven solutions to clientsAssisting in proposal development and pitching to stakeholdersDeveloping a deeper understanding of AI and data transformation opportunities within the Defence and Security sectorWhat Are We Looking For?Essential Skills & ExperienceActive Enhanced DV ClearanceProven experience in applying data science or machine learning within Defence, Security, public sector, or academiaStrong knowledge of machine learning architectures and modelsMethodical approach to problem-solving and analytical thinkingAbility to communicate complex technical concepts to a range of audiencesStrong client relationship management skillsDesirable Skills & ExperienceExperience with cloud-based machine learning services (AWS, Azure, GCP)Proficiency in Python and its libraries for data analysis, statistics, machine learning, and visualisationExpertise in machine learning frameworks such as TensorFlow and PyTorchKnowledge of Natural Language Processing (NLP) and Computer Vision techniquesStrong understanding of probability concepts and the machine learning lifecycleExperience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo)Awareness and application of Ethical AI principlesThis role offers a unique opportunity to work on cutting-edge projects, expand your expertise, and contribute to innovative AI and data solutions within a highly secure and impactful environment.Ready to take your career to the next level? Apply today and be part of something extraordinary!Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you.KEY SKILLS:Data Scientist / Data Science / AWS / Azure / Machine Learning / NLP / AI / PyTorch / TensorFlow / Python / Cheltenham / Security Cleared / DV / DV Cleared / Enhanced Clearance

What you’ll do:Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment.Integrate model-driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data.Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring.Design, architect, and operate low-latency, highly reliable cloud-based AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production-scale performance.What you'll bringProven extensive lead-level engineering experience delivering sports insights or sports data–driven ML systems, with clear ownership of technical direction, mentoring, and delivery.Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights.Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi-modal sports data (e.g., numerical, spatial, video, or metadata).Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch, TensorFlow), including taking models from experimentation into production model serving.End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure-as-code practices.Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day to day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary.Experience designing scalable, low-latency architectures, including real-time or near-real-time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases.Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders.