Data Scientist — ML & Analytics for Energy

SSE plc; Reading; Hybrid; GBP 42,600 - 64,000; Full time

Benefits offered by this job

34 days holiday entitlement

Enhanced maternity/paternity leave

Discounted healthcare

Salary sacrifice car leasing

Job summary

A leading energy solutions company based in the UK is seeking a Data Scientist to join their team. This role involves developing machine learning models, optimizing existing data pipelines, and delivering analytics solutions that drive significant business value. Candidates should possess strong programming skills, particularly in Python and SQL, as well as experience with Azure technologies. A degree in a quantitative field is preferred. The position offers a competitive salary and excellent benefits, promoting a diverse and inclusive work environment.

Qualifications

• Extensive experience in programming/coding skills including Python/PySpark and SQL.
• Understanding of Databricks delta live tables and Unity Catalog.
• Data engineering and analytics skills using PySpark or Spark SQL in Azure Databricks.
• Highly numerate, data literate and deeply analytical with excellent stakeholder management skills.

Responsibilities

• Develop and deliver machine learning models for key use cases.
• Work closely to maintain and optimise existing models and data pipelines.
• Communicate insights clearly to stakeholders and deliver optimal analytics solutions.
• Improve Business Energy performance with advanced models and data visualisations.

Skills

Python/PySpark

SQL

Azure cloud technologies

Data engineering skills

Problem-solving skills

Stakeholder management

Education

Degree in Mathematics, Physics, Computer Science, Engineering or related quantitative discipline

Tools

Databricks

Spark SQL

Job description

A leading energy solutions company based in the UK is seeking a Data Scientist to join their team. This role involves developing machine learning models, optimizing existing data pipelines, and delivering analytics solutions that drive significant business value. Candidates should possess strong programming skills, particularly in Python and SQL, as well as experience with Azure technologies. A degree in a quantitative field is preferred. The position offers a competitive salary and excellent benefits, promoting a diverse and inclusive work environment.