Senior Data Scientist (Python, SQL, Chatgpt - London)

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.