Data Science
Job in
City Of London, Central London, Greater London, England, UK
Listed on 2026-07-31
Listing for:
Pontoon
Part Time
position Listed on 2026-07-31
Job specializations:
-
IT/Tech
Data Scientist, Machine Learning/ ML Engineer, Data Analyst, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Job Title:
Senior Data Scientist
Contract Type:
Fixed Term (6 Months)
Working Pattern:3 days per week in office
Location:
London, UK (Farringdon)
Pay: £500 to £750 per day Inside IR35
Are you ready to dive deep into the world of data and transform complex business challenges into actionable insights? Our client, a leading organisation in the retail industry, is on the lookout for an enthusiastic and skilled Senior Data Scientist to join their innovative team!
About the RoleAs a Senior Data Scientist, you will play a pivotal role in harnessing the power of data to drive strategic decisions across various domains-ranging from online services and pricing to supply chain management and marketing.
Key Responsibilities- Hands-On Analysis:
Leverage your analytical mindset to tackle complex business problems and prototype effective solutions. - Algorithm Design:
Apply, modify, and design advanced algorithms and mathematical models to extract meaningful insights from large data sets. - Communication:
Validate, document, and present modelling processes and performances, ensuring clarity for both technical and non-technical stakeholders. - Collaboration:
Work closely within a diverse team of data scientists, sharing knowledge and driving data science initiatives across the organisation and the wider community.
- Educational Background: A strong numerical degree in mathematics, science, engineering, or computer science.
- Technical Expertise:
Extensive experience in machine learning, data mining, and programming (Python preferred). - Problem-Solving
Skills:
A scientific mindset with the ability to ask and answer the right questions. - Specialised Knowledge:
Experience in predictive modelling, operational research, deep learning, and time series modelling. - Leadership
Experience:
Proven commercial experience working with business stakeholders, alongside a record of mentoring and developing junior professionals.
Our client values a culture of learning and personal growth, offering:
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