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Data Scientist - Outside IR35
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-02-15
Listing for:
Shareforce
Full Time
position Listed on 2026-02-15
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
This is an opportunity for a Data Scientist to play a significant role in building Machine Learning and AI Solutions for customers. The successful candidate will have commercial experience and enjoy working as part of a team and independently.
Responsibilities:- Play an active role within a multi-disciplinary team to design and deliver machine learning and computer vision solutions.
- Collaborate closely with senior team members to develop and implement core components of data-driven solutions.
- Explore, process, and analyse large and complex datasets from multiple sources and formats.
- Communicate insights, findings, and recommendations clearly to stakeholders and clients through effective visualisation and storytelling.
- Understand client requirements and translate them into practical, scalable solutions.
- Present proposed approaches and outcomes to customer sponsors and senior stakeholders.
Skills & Experience:
- Strong technical knowledge of machine learning, computer vision, and AI-driven solutions.
- Experience with data visualisation and applying structured storytelling techniques to communicate insights.
- Solid understanding of predictive modelling, statistical analysis, and pricing or commercial analysis.
- Experience working with large-scale datasets, including real-time, stored, and geospatial data.
- Proficiency in programming for data analysis and machine learning.
- Background in data science, data engineering, or a related discipline.
- Excellent communication and stakeholder engagement skills.
- Strong motivation to work closely with customers and deliver impactful solutions.
- Rate Offered:
Up to £425 - IR35 Status:
Outside - Initial Duration: 3 months (significant opportunity for extension)
- Location:
Remote with occasional onsite travel, London - All applicants must be based in the UK and have the right to work
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