Average Data Scientist salary in the UK

As a Data Scientist within the Analytics Team, you will contribute to data-driven strategies for our clients. Working closely with the Data & Analytics Manager and senior colleagues, you will deliver data science projects and collaborate with stakeholders across data strategy, sales, account management, delivery and marketing.You will bring solid technical skills and commercial awareness to deliver data solutions that drive measurable operational performance. This is a hands-on role - ideal for someone who thrives on translating data into actionable insight and producing high-quality outcomes.ResponsibilitiesDeliver data science projects, from problem definition through to actionable insights and presentation of resultsDevelop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomesBuild and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources and formatsTranslate complex analyses into clear, commercially relevant recommendations for clients and internal stakeholdersWork with client teams to identify analytical opportunities, support marketing strategy, and quantify the impact of data-driven decision-makingSupport pre-sales and client engagement, helping to demonstrate the value of data insightFollow best practices in data science, reproducible research, and ethical AICollaborate cross-functionally to enhance the company’s products and marketing data solutionsWhat Success Looks Like in the RoleDelivery of impactful, high-quality analytics that directly inform and improve client marketing outcomesBuilding trust and credibility with clients as an analytical consultantRegular iteration on our machine learning methodologies, tools, and frameworksConsistent demonstration of technical excellence and commercial insight in all project deliverablesMeasurable contribution to the enhancement of Sagacity’s data science and analytics product suiteCompetencies and Experience2+ years’ experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancyEducated to degree level (postgraduate preferred) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similarWorking knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLPProficient in Python and/or R, with strong experience in data quality, model development and feature engineeringStrong command of SQL and familiarity with data engineering environments such as Databricks or similarSkilled in data visualisation and storytelling using tools such as Power BI, Tableau, Plotly, or SigmaDemonstrated ability to translate technical findings into strategic recommendations for non-technical audiencesCommercially aware, with proven success in applying analytics to solve business problemsStrong communicator; able to engage stakeholders and present findings with clarity and confidenceSelf-motivated, organised, and proactive, with the ability to manage multiple priorities and stakeholders in a fast-paced environmentWilling to travel across the UK for client engagementsMust have the right to work in the UK and a commitment to ongoing professional development

ScientistLoughboroughSalary: £29,500 per annumInitial 12-month temporary contract36.25 hours per week, Monday to Friday, based fully on siteDo you have a degree in chemistry, physics or engineering, and want a role that's genuinely hands-on rather than 100% stuck behind a desk? Our client, a specialist in construction products and testing, is looking for a Scientist to join their fire test laboratory team initially on a temporary basis.This is a UKAS accredited facility carrying out a range of fire testing services that help keep buildings and the people in them safe. No two days look the same: one minute you could be setting up a test rig, the next analysing results and writing up reports, or speaking directly with a customer about how their test is progressing. It's practical, physical work, so you'll need to be just as comfortable using lifting equipment, a broom and shovel as you are in front of a laptop or in front of a customer. Teamwork is a big part of how this lab operates, so you'll be working closely with colleagues day to day.What you'll be doingCarrying out fire testing activities from start to finish, including setting up rigs and equipment ahead of a testAnalysing test data and writing up clear, accurate reports that customers and colleagues can rely onLiaising directly with customers, keeping them updated on test progress, timelines and results, and answering their queries along the wayActing as a point of contact for customers on site during testing, making sure their experience is professional and well managedTaking a proactive, safety-first approach and speaking up if you spot a riskGetting stuck into hands-on testing tasks, including clean-up and general upkeep, to keep the facility running smoothlyWhat you'll needA degree in chemistry, physics or engineering OR equivalent experience in an industrial or material testing environmentA genuinely proactive attitude to health and safetyWilling and able to take on physical and manual work, as well as customer interactionWhy applyYou'll be joining a lab that takes real pride in the standard of its testing, with a team that backs each other up and gets involved. If you like a mix of technical and physical work and want to build genuine experience in a hands-on industrial environment, this is a good place to do it.If you would like to apply for this position, please use the link provided. Alternatively please email a copy of your CV For more information regarding this position or any others, please call Tom on . If you have a scientific background and this position is not relevant / suitable for you, please feel free to get in touch or visit to view our other vacancies.SRG is the UK's number one recruitment company specialising in the scientific, engineering, clinical, pharmaceutical, food/FMCG, energy & renewables, biotech, chemical and medical device sectors. As scientists ourselves, our specialist sector knowledge and our passion are second to none. It's this combination that makes us different. We're committed to providing outstanding temporary, contract and permanent career opportunities of all levels for our candidates and a comprehensive range of expert strategic recruitment services for our clients.Keywords: Scientist, Laboratory Technician, Fire Testing, Laboratory, UKAS, Nottinghamshire, Science Jobs, GraduateGuidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Founding Data Scientist / Machine Learning ScientistFully remote role - Odd trip to London office Subriction - Service based business We're working with an exciting business that is building its data science capability in-house for the first time, and they're looking for a Founding Data Scientist to shape the function from the ground up.This is a genuinely hands-on role where you'll have ownership of the full data science lifecycle - from defining the modelling approach and building predictive models through to creating scalable, repeatable and production-ready solutions.The initial focus will be on customer churn and complaint propensity, alongside forecasting and other predictive modelling opportunities. You'll be responsible for building the models, documenting the methodology and establishing the overall approach that can be embedded and scaled across the business.What we're looking forWe're particularly interested in Data Scientists who have built churn propensity models before, ideally within a subscription-based or service-led business where customer retention is a key commercial challenge.You'll need to be comfortable working independently and owning the end-to-end process without relying heavily on Data Engineering or a separate ML Engineering function. This means being able to take models from concept through to productionisation and build approaches that are scalable, repeatable and robust.Key skillsStrong commercial Data Science / Machine Learning experienceProven experience building customer churn / propensity modelsStrong Python and SQLExperience taking ML models into productionAbility to design and document modelling approaches from scratchStrong understanding of forecasting and predictive analyticsExperience working with subscription, recurring revenue or field/service-based businesses is highly desirableMicrosoft technology stack experienceExperience using LLMs to analyse classified/unstructured data would be a bonusThis is a rare opportunity to join at the beginning of the journey and define how Data Science is done within the business, rather than simply inheriting an existing framework.If you've built churn models before and want genuine ownership, autonomy and the opportunity to build something from the ground up, we'd love to hear from you.GleeITAt Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer.By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data.