Average Data Scientist salary in the UK

ScientistLocation: We have positions at both Oak Tree House (BB18) and Coleby House (BD23)Salary: £27,546.60 – £29,872.50 per annum, 2 years previous laboratory experience required for maximum salaryHours: 40 hours per week, Monday – FridayContract: Full time, PermanentBenefits: Annual Bonus: £1,200 based on company and personal performance, Holidays: 25 days plus statutory holidays (option to purchase additional week), Broughton Day: Option for a fixed day off every 2–3 weeks via salary sacrifice, Pension: Auto-enrolment, Life Insurance: 2x death in service and Healthcare: Cash planBroughton’s mission is to improve public health and well-being. As a global contract research organisation, we partner with future-focused organisations and category innovators to bring products to market across the Pharmaceutical, Healthcare, and Lifestyle sectors.Our integrated solutions are delivered by world-leading scientists and regulatory consultants through our contract laboratories.At Broughton, you’ll be part of a team that values scientific excellence and innovation. We work on projects that make a real difference to public health, supporting clients in bringing safe, effective products to market.We are looking for Scientists to join our Laboratory Operations team across both our Oak Tree House and Coleby House sites.The role focuses on performing chemical analyses to the high standards expected within regulated environments, including GMP, ISO and UKAS.As our Scientist, you will: Perform analytical testing on client products within agreed timelinesFollow study protocols, test methods and company proceduresPrepare samples, standards and reagentsOperate analytical instrumentation including: HPLC, LC-MS, GC-FID, GC-MS, CETI-8Record data accurately, in line with ALCOA principlesProduce compliant data in accordance with the Quality Management SystemMaintain high standards of laboratory housekeepingCommunicate deviations appropriately and promptlySupport wider laboratory objectives as requiredSite Requirements (Important):Oak Tree House (BB18): Requires candidates with a minimum of 2 years’ laboratory experience.Coleby House (BD23): Open to graduates with no experience, provided they hold a relevant degree and proof of right to work.In order to be successful in this role you must have / be: Strong technical problem-solving abilitiesGood verbal reasoningCompetence with standard Office applications (Excel, Word, etc.)Ability to work effectively both independently and within a teamIt would be great if you had: Ability to propose practical solutions to technical challengesExperience using statistical softwareJoin us and be part of a team that’s shaping the future of health and well-being through science.If you are interested in this role, please do submit a copy of your CV by clicking on “APPLY” today!No agencies please.

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!

Data Scientist £34,000 - £38,000 + benefits Full Time / Permanent Tamworth The Company Akkodis are partnering with a market leading manufacturing company who are looking for a driven Data Scientist to join their IT development team. This is primarily an office based role based at the head office in Tamworth, West Midlands. The Role The Data Scientist will drive the development and adoption of a data driven decision making culture within the company. The current Software Development team has been building systems and tools for several years, all of which manage the company from an operational point of view. This includes the implementation of bespoke and commonly used tools and platforms such as Power BI, Smartsheet and Dynamics 365 Business Central. The Data Scientist will play a pivotal part in the continued development of these tools alongside the implementation, embedding and deployment of these tools into the day-to-day business processes that drive the company. Key Responsibilities To model datasets and provide data-driven insights to drive business recommendations.To work with internal and external stakeholders to understand and document their requirements.To present and report results of your analysis in accessible and appealing formats, using relevant visualisations.To identify new and innovative ways to analysis and present business data in a way that improves awareness, visibility, acceptance and improvement.To manage and maintain the various reporting platforms used by the company. This includes Power BI, Smartsheet, Dynamics 365 Business Central amongst others.To work with and support the Development team in supporting end users and providing data to their requirements. Skills and Experience Previous experience (ideally 2+ years) working in a similar Data Scientist or Data Engineer roleExperience using software-based data analysis tools such as Excel, Power BI, Reporting Services, SQL, Jet for Business Central .Knowledge of reporting and analysis-based languages such as T-SQL, DAX, Python, R and the principles that they implement.Knowledge of different forms of data visualisation and interaction.The ability to communicate effectively with internal and external stakeholders.Competent in carrying out hypothesis testing & knowledge of statistical methods. Please apply via the link or contact for more information. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.