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.