Senior Data Scientist (Python, SQL, Chatgpt, SNOWFLAKE – London) Daily Rate: £500 per day Temp to Perm role – contract is 2-3 months Perm Salary: £65,000 - £75,000 per annum Role Responsibility Our Senior Data Scientist will be fully accountable for the following areas; • Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting-edge data science techniques and technologies. • Insights and Reporting: Extract actionable insights from large, complex datasets to guide business decision-making. • Collaboration with Stakeholders: Working closely with business stakeholders and technical colleagues to understand data science requirements and integrate data science solutions into existing workflows & applications. Communicating effectively with both technical and non-technical counterparts. From start to finish of every project. • Data Strategy and Model Governance: Collaborate with cross-functional teams to execute the company's data strategy. Ensure models are fair, explainable and in compliance with relevant regulations and policies. • Project Management – Manage and deliver projects on time, to high standards. • Agile ways of working - Demonstrate experience in working in an agile environment, participating in sprint planning, and adapting to changing priorities. The Ideal Candidate: Working as a Senior Data Scientist you will need to demonstrate the following skills and experience; • Previously worked in a data science role for a large data rich organisation, with a track record of independent project delivery. • Can demonstrate previous experience of working in a marketing domain or have the desire and enthusiasm to move into this area. • Must be able to demonstrate strong programming skills in languages such as Python and SQL. (A technical task will form part of the interview process.) • Already be a credible expert in machine learning, statistical modelling and data analysis. • Demonstrate excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders – providing business recommendations within a marketing-based field. • Experience with big data technologies and cloud platforms, ideally Azure. • A curious nature, with the drive to learn and master new tech and methods. Desirable; • Previously worked in an agile working environment, with a focus on iterative and collaborative project delivery. • Have worked with data visualisation tools e.g. Tableau. • Experience in model monitoring. (MLOPS experience would be desirable.) • Have gained a master's in a quantitative field such as Computer Science, Statistics or related disciplines.