Average Data Scientist salary in the UK

Data Scientist / Machine Learning Engineer Join our team as a Data Scientist / Machine Learning expert in the Analytics department within the business services industry. This permanent position, based in London, offers an opportunity to apply advanced data science techniques to deliver actionable insights. Client Details Data Scientist / Machine Learning Engineer Our client is a well-established organisation within the business services industry. They are a medium-sized entity with a commitment to innovation and excellence in their field, providing a supportive environment for professional growth. Description Data Scientist / Machine Learning Engineer Develop and implement machine learning models to analyse complex data sets.Collaborate with cross-functional teams to identify business challenges and provide data-driven solutions.Optimise data pipelines and workflows for improved efficiency.Translate analytical findings into clear insights and recommendations for stakeholders.Stay updated on the latest advancements in data science and machine learning methodologies.Create and maintain detailed documentation of data models and processes.Conduct exploratory data analysis to uncover trends and patterns.Ensure data quality and integrity throughout all analytics processes. Profile Data Scientist / Machine Learning Engineer A successful Data Scientist / Machine Learning expert should have: A strong academic background in data science, computer science, mathematics, or a related field.Hands-on experience with AWS ML stack (SageMaker, Lambda, Redshift).Proven ability to design and implement machine learning algorithms and models.Proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow).Strong data analysis, statistical modelling, and experimentation skills.Experience with data visualisation tools and techniques.Proficiency in programming languages such as Python, R, or similar.Knowledge of data processing frameworks and platforms.Attention to detail and a methodical approach to problem-solving. Job Offer Data Scientist / Machine Learning Engineer Competitive salary ranging from £60,000 to £69,000 per annum.Comprehensive standard benefits package.Opportunity to work in the thriving business services industry.Located in the heart of London with excellent transport links.Permanent role with opportunities for professional growth and development. If you are ready to take the next step in your career as a Data Scientist / Machine Learning specialist, we encourage you to apply now!

GIS Data Scientist Location: Canary Wharf Employment Type: Contract, 2 months, strong chance of extension About the Role Morgan Hunt are working with a leading government organisation to recruit a GIS Data Scientist who can blend spatial analysis, advanced analytics, and problem-solving to turn geospatial data into actionable insights. You'll work with large, complex datasets, build predictive models, and support data-driven decisions across the organisation. If you love maps, patterns, and answering real-world questions with data, this role has your name all over it. Key Responsibilities Acquire, clean, and manage geospatial datasets from diverse sources Perform spatial analysis, spatial statistics, and geoprocessing to support strategic and operational projects.Develop predictive models and machine-learning workflows using spatial and non-spatial data.Build and maintain spatial databases, data pipelines, and automated ETL processes.Create high-quality maps, dashboards, and visualisations for both technical and non-technical stakeholders.Collaborate with cross-functional teams to define requirements and deliver geospatial insights.Implement QA/QC best practices to ensure accuracy, reproducibility, and data governance.Stay current with emerging geospatial technologies, standards, and research. Skills & Experience Essential Strong experience with GIS platforms (ArcGIS, QGIS) and geospatial libraries (e.g., GeoPandas, GDAL/OGR, Shapely, Rasterio).Proficiency in Python and/or R for data science and automation.Solid grounding in statistics, spatial analysis, and machine-learning methodologies.Experience with spatial databases (PostGIS, BigQuery GIS, SQL Server Spatial).Ability to communicate complex spatial insights clearly to diverse audiences.Experience working with remote sensing and raster datasets. Details £650- £750 per dayinside of IR352 months, strong chance of extension1 day per week in the office in Canary Wharf Morgan Hunt is a multi-award-winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role.

Must have active enhanced DV (West) ClearanceJunior to Lead levels available£45k to £95k DoE plus 15% clearance bonusMust be willing to be full-time on-site in CheltenhamSkills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis.Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes.Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors.Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform.Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: 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 Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning