Data Scientist

* Exeter, Devon (Hybrid-working minimum of x2 days in the office you 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 are currently on the lookout for a Data Scientist on a permanent basis. My client is seeking a technical and hands-on individual to drive the evolution of their analytics capabilities. They want someone to help them move beyond traditional reporting.

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

Applications:

Please contact John here at ISR to understand more about this great opportunity working as a Data Scientist at the heart of his client’s expansion plans as they undergo a period of continued expansion as a result of increased market share as they release new products and services