Jobs

Lead Data Scientist


Job details
  • Forsyth Barnes
  • Bedford
  • 3 weeks ago
Applications closed

Title: Lead Data Scientist

Location: Bedfordshire – Hybrid – 2 days a week in office

Salary: £80,000 + Bonus/Benefits

Contact:


Brief Overview:


Forsyth Barnes are working with major retail and service provider across the UK, Ireland and US who are in a rapid growth phase and seek a to onboard a Lead Data Scientist to identify and unlock the potential of its data assets through advanced analytics and model-based solutions.

The successful candidate will work closely with stakeholders to create hypotheses, analyse complex datasets, and design data-driven solutions. They will also collaborate with the Data Engineering and Architecture teams to ensure the effective use of the data platform for delivering business focused results.


Lead Data Scientist - Responsibilities:


  • Developing and testing hypotheses that could meaningfully impact business and operational performance.
  • Extracting insights from large and varied datasets (structured and unstructured).
  • Building statistical models to identify trends, patterns, and actionable insights.
  • Applying advanced analytics across product lifecycles, driving decisions at each stage.
  • Translating complex technical data into clear recommendations for stakeholders.
  • Designing and developing interactive dashboards using Power BI to deliver real-time insights.


Lead Data Scientist - Required Skills/Experience:


  • Developing and testing hypotheses that could meaningfully impact business and operational performance.
  • Extracting insights from large and varied datasets (structured and unstructured).
  • Building statistical models to identify trends, patterns, and actionable insights.
  • Applying advanced analytics across product lifecycles, driving decisions at each stage.
  • Translating complex technical data into clear recommendations for stakeholders.
  • Designing and developing interactive dashboards using Power BI to deliver real-time insights.
  • Data Visualisation: Proficiency in creating impactful visualisations (e.g., Power BI).
  • Statistical Modelling: Experience in regression techniques
  • Machine Learning: Hands-on experience with scalable ML pipelines
  • Programming: Strong proficiency in Python; experience with Java and C is beneficial.
  • Azure Data Tools: Familiarity with Azure applications (MS Fabric Stack preferred).

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