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Data Scientist - Azure, PySpark & Automated Pipelines

Job in Exeter, Devon, EX2, England, UK
Listing for: ISR RECRUITMENT LIMITED
Full Time position
Listed on 2026-05-27
Job specializations:
  • IT/Tech
    Data Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 55000 GBP Yearly GBP 55000.00 YEAR
Job Description & How to Apply Below

Data Scientist

Exeter, Devon (Hybrid-working minimum of two days in the office; must be based locally)

c £55,000 per year

Plus an excellent benefits package (including Pension, Bonus, Life Insurance, Healthcare, etc.)

Skills and Experience
  • Expert proficiency in Python for data manipulation and automation is essential. You must be comfortable writing production‑grade code, not just scripts.
  • Advanced SQL skills for querying and transforming data from disparate sources.
  • Hands‑on experience with Spark (PySpark) or similar big data frameworks and working within distributed computing environments.
  • Familiarity with cloud platforms, preferably Azure (Data Lake, Databricks, Data Factory).
  • Experience using Jupyter/Databricks Notebooks for analysis and VS Code for pipeline development.
  • Experience working in an agile environment using Git for version control to manage codebases and collaborative workflows.
  • Design and implement models and algorithms.
  • Replace manual Excel and VBA workflows with robust automated Python pipelines. You will be responsible for producing insights to ensure they run reliably without manual intervention.
  • Translate complex datasets into clear interactive narratives that drive strategic action across all departments.
The Opportunity

My client, based in the sustainability sector, is looking for a Data Scientist on a permanent basis. They are seeking a technical and hands‑on individual to drive the evolution of their analytics capabilities and help move beyond traditional reporting.

You will be responsible for building reproducible, code‑first data products that power internal decision‑making and customer‑facing features. You will also play a central role in the transition to an Azure‑native stack from legacy systems, with a new stack utilising Python, Spark and cloud computing to automate complex workflows.

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