Data Scientist Maidenhead - 3 Days On Site Up to £64,000 + Bonus & Benefits Our client is a global leader in enterprise management software solutions, specialising in helping businesses across the retail and consumer services sectors to optimise operations, manage data, and drive customer loyalty. They are seeking … a talented Data Scientist to analyse complex data sets, develop predictive models, and deliver actionable insights that support their cutting-edge solutions. This is an exciting opportunity to work with a forward-thinking organisation that values collaboration, innovation, and the impact of data-driven decision-making on … a global scale. Key Responsibilities: Analyse large data sets to identify trends and generate actionable insights. Develop and optimise machine learning models to address business challenges. Collaborate with data engineering teams to ensure data quality and efficiency. Present findings to both technical and non-technical audiences. Mentor More ❯
Employment Type: Permanent
Salary: £60000 - £65000/annum Life Insurance/Health Care/Pension
Data Scientist – Maidenhead We are seeking a results-driven Data Scientist. In this role, you will apply advanced analytical techniques and develop predictive models to extract actionable insights, optimize processes, and support decision-making. You will work on diverse data-driven projects, collaborate across teams, and implement … scalable, high-impact solutions. Key Responsibilities Data Analysis & Modeling Analyze large datasets to identify trends, patterns, and actionable insights. Develop and optimize machine learning models to address business challenges. Conduct A/B testing and experimental analysis to validate hypotheses. Data Management Collaborate with data engineering teams … to ensure data integrity and accessibility. Design and build efficient ETL pipelines for data preprocessing. Implement automated tests to ensure reliability of data processes and models. Stakeholder Collaboration Define project goals and deliverables in collaboration with stakeholders. Present analytical findings and recommendations to diverse audiences. Develop domain More ❯
Data Scientist (Mid Level) - Maidenhead We are looking for a mid-level Data Scientist to join our client's growing team. You will use your skills in data analysis and machine learning to uncover insights, build predictive models, and support decision-making across various projects. You’ll … also work closely with engineers, product teams, and other stakeholders to deliver data-driven solutions. Benefits: Pension Health insurance Employees will be receiving a quarterly stipend to spend Employee Assistance programme – wellbeing 25 days holidays Group Life assurance scheme Long Term Disability Scheme Key Responsibilities: Explore large datasets to … identify patterns and insights Build and improve machine learning models to solve business problems Design and analyze experiments (A/B testing, etc.) Data Engineering Support Work with data engineers to ensure clean, usable data Build and maintain data pipelines for model input Write automated checks More ❯
to collaborate closely with engineering teams to understand and analyze source systems. Key Responsibilities: Collaborate with stakeholders and engineering teams to gather and interpret data requirements Develop and optimize queries using SQL/T-SQL Build and analyze reports using Excel and BI tools such as Sisense and Power … BI Support data modeling efforts and contribute to data warehousing strategies Understand and support ETL processes , with exposure to SSIS being a plus Present findings and influence decision-making through strong communication skills Required Skills: 5+ years in BI or data analytics roles Strong SQL/T … SQL and Excel proficiency Experience with Sisense or Power BI Exposure to data modeling , data warehousing , and ETL processes Excellent communication and stakeholder management skills About Us: Ascendion is a global, leading provider of AI-first software engineering services, delivering transformative solutions across North America, APAC, and Europe. More ❯