Average Data Scientist salary in the UK

Quest Search & Selection are currently partnering with a leading tech eCommerce platform specialised in consumer goods and delivery. This business offers an extensive range of products including household essentials, medication, office supplies, groceries, and even fresh prepared food! The Data Scientist- Category Management, will develop decision support systems, analyse large datasets, and share insights to optimise category performance. You will collaborating with In-Stock Merchandising team and will manage another Data Analyst to drive NPD, category decision-making, and analysis in product buying and inventory management. Key responsibilities of this Data Scientist - Category Management: Partner with the Data Team to measure and report on availability levels and their impact on revenue and order volumes.Collaborate with the Category and In-Stock Management teams to enhance the Stock Ordering Tool and refined buying policies.Deliver clear insights into the performance and value of buying policies integrated into the Stock Ordering Tool.Ensuring wastage target levels for expirations and availability are achieved.Design and evaluate experiments to optimise buying policies within Stock Ordering.Establish dynamic targets for availability and expirations across subcategories.Conduct in-depth analyses and post-implementation reviews to address challenges, uncover opportunities, and propose future experiments related to availability and expirations reporting. Key requirements of Data Scientist - Category Management: Ideally having 3-6 years of experience in analytics or data science, preferably in grocery, operations, marketing or consumer products.Open to experience in Investment Banking as Senior Associate or VP levelStrong understanding of statistical analysis and experiment design.Ideally a bachelor's degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not essentialExperience in developing machine learning models using advanced techniques. Expert proficiency in SQL and databases, with the ability to write structured and efficient queries on large data sets.Experience with dbt, Python or R, is a plus.Development experience with BI platforms such as Looker, Tableau, or Power BI. Benefits included for Data Scientist - Category Management: Comprehensive medical and dental insurance.Company Shares /RSUAnnual bonusHybrid role - 3 days in officeEmployee discount.Career growth opportunities.Annual performance appraisal and bonus. This is a great opportunity if you have the right skill sets to be part of an entrepreneurial team. If this role is of interest, please do apply quoting the reference no. JO-2501-114981 We request that candidates send their CV as a Microsoft Word document where possible. Quest Search and Selection is acting as an Employment Agency in relation to this vacancy.

Data Scientist (Hybrid - Manchester) A growing data and analytics company is on the lookout for a Data Scientist to take ownership of its monitoring and alerting infrastructure. This is a fantastic opportunity to play a hands-on role in designing scalable solutions that safeguard data quality and system reliability across a suite of products. The successful candidate will be joining a collaborative and forward-thinking team that combines deep technical knowledge with a focus on practical impact. The role is ideal for someone who enjoys autonomy, thrives on solving complex problems, and wants to shape how monitoring is done across multiple projects and departments. Key Responsibilities: Design and build robust monitoring and alerting systems to maintain data health and accuracyDefine KPIs and thresholds in collaboration with technical and non-technical stakeholdersDevelop and productionise machine learning and statistical models (Python, PySpark)Deploy monitoring solutions on AWS infrastructureCreate scalable frameworks for future monitoring needsInvestigate anomalies and ensure quick resolution of issues in the data pipelineAdvocate for data quality best practices across the businessProvide mentorship and contribute to a culture of continuous improvement About You: Proficient in Python and SQLExperience working with large datasets, preferably using PySparkSolid understanding of AWS or similar cloud infrastructureMethodical, detail-oriented, and comfortable working independentlyAble to translate business needs into technical solutionsPrevious experience building monitoring or data quality systems is a plusCurious, collaborative, and self-motivated For further details and to apply, please send your CV to jon.brass @ Circlerecruitment.com Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you refer somebody else who fills the role! We also offer an iPad if you refer a new client to us and we recruit for them. Follow us on Facebook - Circle Recruitment , Twitter - @Circle_Rec and LinkedIn - Circle Recruitment.

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, AI Who 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 sector What Are We Looking For? Essential Skills & Experience Active 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 skills Desirable Skills & Experience Experience 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 principles This 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