Summary: The role of Senior Data Scientist focuses on developing and deploying machine learning models and statistical analyses within the FMCG/Retail sector. The position requires strong expertise in building production-level ML pipelines, particularly in cloud environments like AWS, and involves collaboration with engineering teams. The candidate will also mentor junior team members and influence best practices in data science. This is a hybrid role based in London with a contract duration of 6 months.

Key Responsibilities:

• Develop and deploy ML models and statistical analyses, including time series forecasting, clustering, and econometrics
• Design and implement production-grade ML pipelines using modern cloud platforms (AWS, Azure, or GCP)
• Write clean, maintainable Python code and performant SQL for data wrangling, analysis, and model deployment
• Collaborate with engineers and cross-functional stakeholders to scale models and insights into production environments
• Take technical ownership of projects, mentor junior team members, and influence data science best practices

Key Skills:

• 5+ years of hands-on experience as a Data Scientist, with a strong portfolio of real-world projects
• Expertise in machine learning and statistical modelling techniques (time series, clustering, econometrics preferred)
• Strong proficiency in Python and SQL
• Comfortable working in engineering-focused teams and writing production-level code

Salary (Rate): 900

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: Senior

Industry: Other