Average Manager Scientist salary in Manchester

Senior Data Scientist My client is a fast-growing UK business serving thousands of customers. They are investing heavily in their data capability and are now looking to appoint a Lead Data Scientist to drive end-to-end machine learning delivery within a regulated financial environment.This is a hands-on role combining technical ownership and production-grade model deployment. The Role As Senior Data Scientist, you will:Own end-to-end ML solutions - from problem framing and feature engineering to deployment, monitoring, and governanceTranslate business objectives into modelling strategies aligned to risk appetite and operational constraintsBuild and deploy models using Python, SQL, and AWS (SageMaker or equivalent)Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutionsEstablish monitoring frameworks for performance, drift, and retrainingDrive clear documentation, traceability, and governance appropriate for a regulated environmentThis role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance. Essential Experience Proven commercial ML/Data Science delivery with measurable impactExperience taking models into production and managing performance over timePrior experience leading or mentoring Data ScientistsStrong Python (pandas, numpy, scikit-learn or similar)Strong SQL (complex joins, aggregations, analytical functions)Solid grounding in applied statistics, evaluation design, calibration, bias/fairnessExperience working closely with Engineering/Data teams in production-first environmentsComfortable operating within regulated industries Desirable AWS experience (S3, Athena/Glue, IAM, Lambda)SageMaker or equivalent ML platform experienceFinancial services domain knowledge (risk, fraud, affordability, payments)Experience with model explainability and governance documentation Package & Benefits Hybrid working modelCompetitive pensionAdditional paid leave (birthday, charity, wellbeing, life events)Employee assistance programme & Virtual GPModern collaborative office environment Interested? Please Click Apply Now! Senior Data Scientist

Reed Talent Solutions are working with United Utilities on the search for a lab-based Scientist to work at the clients Warrington HQ in their wastewater department.United Utilities is an essential service provider in the Northwest of England, supplying clean water to three million households and 200,000 businesses, and managing wastewater for a total of seven million customers. They are dedicated to delivering excellent service and supporting a stronger, greener, and healthier region.Role details:Job title: ScientistLocation Warrington WA5Contract: 6 monthsHourly pay rate: £17.29 per hourWorking hours- 37 hours - Tuesday to Saturday.Job Details:The Laboratory is highly automated and uses a combination of simple and complex techniques to provide an analytical service carried out in accordance with quality operating procedures. The analytical service meets the requirements of the ISO 17025 – General Requirements for the Competence of Testing and Calibration Laboratories and is also United Kingdom Accreditation Service (UKAS) accredited.Key Responsibilities:Preparation and analysis of Potable and Wastewater samples to fulfil United Utilities regulatory and operational requirements.The Scientist is an experienced Scientist who is adept in all aspects of the work undertaken with some specialist skills as well as working as part of a team, supporting efficient workflow and reporting of results.Troubleshooting, problem solving and workload planning are essential outputs of this role.Participation in activities necessary for the efficient operation of an analytical production laboratory, attain competency under a continuing professional development process, Improvements in technical working practices, supporting investigation of anomalous results under analytical quality control, support implementation of new equipment/improved techniques from own team, support ongoing workloads and projects within Scientific Services, best practice integration and continuous improvement, initiate equipment maintenance and repairThe role requires a flexible approach to working hours including some cover for weekend/Bank Holiday's and emergency standby/call out. This person will have good understanding of Laboratory Health & Safety requirements, be IT literate including the use of Word, Outlook, Excel and LIMSSkills and KnowledgeScientifically adept with recent practical laboratory skills - across a variety of techniquesAn understanding of ISO 17025, ISO 5667 and all other related regulatory requirementsEssential communication, influencing and interpersonal skillsMinimum of 2 years laboratory experienceAndMinimum A Level or equivalent in BiologyApply now by clicking on the button below and send your CV, we will be in touch!

Senior Data Scientist - 2 days a month in LondonA great opportunity to join a team building advanced conversational AI and NLP products for financial services. This role is ideal if you enjoy modern LLMs, problem solving, and bringing machine learning models into production.The CompanyThey are a growing data and AI organisation developing conversational tools, data assistants, and NLP solutions for analytics and trading teams. Their work spans LLM fine tuning, automation, and website chatbots, supported by strong engineering and DevOps functions. They operate an AWS environment and encourage collaboration across teams.The RoleBuild and fine tune LLMs and NLP models for analytics and conversational products.Apply mathematical and quantitative thinking to financial use cases.Develop ML pipelines, model evaluation processes, and production ready code.Work with engineers to deploy models in AWS.Support and guide mid level Data Scientists.Your Skills and ExperienceStrong commercial experience in Python, machine learning, and NLP.Hands on work with LLMs, fine tuning, and modern ML tooling.Ability to understand quantitative concepts for trading and financial analytics.Experience working in cloud based engineering environments, ideally AWS.Comfortable collaborating with cross functional teams.