Data Scientist | Machine Learning | Azure | £54k + 10% Bonus

This range is provided by Opus Recruitment Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

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Data Scientist

I am looking for a Data Scientist who wants their work to actually matter.

This is an opportunity to join a growing data team within an organisation that plays a critical role in the utilities sector using data, analytics and machine learning to improve services people rely on every day. You’ll be working on real, meaningful problems, not vanity dashboards or proof‑of‑concepts that never leave PowerPoint.

You’ll have the freedom to work across the end‑to‑end data science lifecycle from shaping data pipelines through to building and deploying machine learning models, and turning complex data into insights decision‑makers can genuinely use.

What you’ll be doing:

• 
  
• Building, deploying and maintaining machine learning models that are used in production
  
• Using statistical and ML techniques to solve practical, real‑world challenges
  
• Developing and optimising data pipelines using Python and PySpark
  
• Working with Azure Synapse Analytics, Azure Data Explorer (ADX) and Azure Data Lake
  
• Creating clear, useful dashboards and reports in Power BI
  
• Exploring large, complex datasets to uncover trends, patterns and opportunities
  
• Partnering with stakeholders to understand their problems and translate them into data solutions
  
• Making sure data is reliable, scalable and fit for purpose
  

What we’re looking for:

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• Solid, hands‑on experience as a Data Scientist, with a strong focus on machine learning
  
• Practical experience working within Azure data platforms, particularly:
  
• Experience using Power BI to communicate insights clearly
  
• A good understanding of data modelling and analytical best practice
  
• Someone who can explain complex ideas to non‑technical stakeholders without jargon
  

Nice to have (but not essential)

• 
  
• Exposure to MLOps or model lifecycle management
  
• Experience with Azure ML, Fabric or streaming data
  
• A background in statistical modelling or advanced analytics
  

What’s on offer

• 
  
• 10% bonus
  
• Excellent pension – up to 20%
  
• Hybrid working – 2 days on‑site in Bath, 3 days remote
  
• Ongoing learning, development and career progression
  
• A genuinely collaborative data team where your work will make a real impact
  

Mid‑Senior level

Full‑time

Information Technology

IT Services and IT Consulting