Ampstek

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in London (Hybrid, 3 days/week) on a contract basis (Inside IR35), focusing on building statistical and machine learning models. Key skills include clustering, regression, data governance, and strong communication with non-technical stakeholders.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
June 30, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Inside IR35
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#ML (Machine Learning) #"ETL (Extract #Transform #Load)" #Data Governance #Deployment #Model Evaluation #Regression #Data Science #Clustering #Data Exploration #AI (Artificial Intelligence) #Scala
Role description
About Us: AmpsTek – a global technology leader since 2013 – is transforming how businesses approach technology and staffing solutions. Founded by seasoned technology leaders across the UK, Europe, APAC, North America, and LATAM, and with registered offices in 30+ countries, we deliver exceptional service, scalable solutions, and measurable impact. With a portfolio of 200+ clients and millions of users across web and mobile platforms, we empower businesses to innovate, grow, and succeed. Join our team and be part of a dynamic, growth-oriented organization that values talent, creativity, and results. Role : Data Scientist Location : London, UK (Hybrid 3 days/week) Contract (InsideIR35) -Build statistical and machine learning models using advanced techniques such as clustering, regression, predictive analytics. -Hands-on expertise building and validating statistical/ML models (e.g., clustering, regression, predictive analytics) with ability to take problems from framing through to deployment-ready outputs. -Must be strong in data exploration, feature engineering, model evaluation, and communicating insights clearly to non-technical stakeholders ideally within demand-led public services (predictive demand, prevention, triage/segmentation). -Needs working knowledge of data governance and responsible AI expectations (privacy, bias awareness, reproducibility), aligned to Brent’s focus on using data and AI to improve outcomes and productivity.