Senior Data Scientist

SSE plc
Aberdeen, UK
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£42,600.0 - £64,000.0
Working hours
Shift work
Job source

Tech stack

Artificial Intelligence Data Analysis Microsoft Azure Big Data Data Infrastructure Data Sharing Python (Programming Language) Machine Learning NumPy SQL Databases Pandas Microsoft Fabric
+3 more
Scikit Learn Software Version Control Databricks

Job description

Join the central Reporting and Analytics team in Transmission, working across a wide range of real business problems, applying data science, machine learning and AI to deliver practical, scalable insight. You’ll build and deploy analytics products and help shape how advanced analytics is used across the organisation, with a strong focus on asset, operational and forecasting use cases. You’ll play a key role in shaping the future of analytics as the team and capability grow.

You will

  • Work on a variety of advanced analytics use cases across the business, developing and deploying machine learning and AI solutions that deliver real operational and strategic value
  • Collaborate with analysts, engineers and business stakeholders to turn questions into well-defined problems, and deliver solutions that can be reused and scaled
  • Take models from prototype through to production, working with shared data platforms and contributing to robust, maintainable pipelines
  • Communicate insights clearly and confidently to a range of audiences, helping people understand and trust data-driven decisions
  • Contribute to a collaborative, inclusive team culture, sharing knowledge, supporting others and continuously improving how we deliver analytics

Requirements

Do you have experience in SQL?, * Ability to independently design and apply statistical, machine learning and (where appropriate) AI approaches to solve real business problems, selecting appropriate methods, validating results and clearly communicating outcomes and impact

  • Ability to write clean, efficient and well-structured code in Python and SQL, working with large and complex datasets and using common libraries such as Pandas, NumPy and scikit-learn (or similar tools)
  • Experience working within shared, platform-based data environments (such as Azure, Databricks or Microsoft Fabric), using collaborative workflows, version control and structured development practices
  • Experience independently taking analytical models or data products from concept through to production, including deployment, monitoring, iteration and ensuring solutions are robust, reusable and scalable
  • A proactive, self-starting approach, with experience working in agile teams and the ability to work with loosely defined problems, engage stakeholders directly and drive solutions through to delivery

Benefits & conditions

Pulled from the full job description

  • Employee discount
  • Gym membership
  • Private medical insurance
  • Cycle to work scheme
  • Discounted gym membership, Salary: £42,600 - £64,000 + performance-related bonus and a range of benefits to support your finances, wellbeing and family.
Working Pattern: Permanent Full Time Flexible First options available, Enjoy discounts on private healthcare and gym memberships. Wellbeing benefits like a free online GP and 24/7 counselling service. Interest-free loans on tech and transport season tickets, or a new bike with our Cycle to Work scheme. As well as generous family entitlements such as maternity and adoption pay, and paternity leave.

About the company

About SSE

SSE’s purpose is to provide energy needed today while building a better world of energy for tomorrow. We do this by developing, building, operating and investing in electricity infrastructure and businesses needed in the energy transition. Our Transforming for Growth investment plan sees us investing £33bn in critical electricity infrastructure across the five years to 2030.

Our IT division powers growth across all SSE business areas by making sure we have the systems, software and security needed to take the lead in a low carbon world. They provide expertise, advice and day-to-day support in emerging technologies, data and analytics, cyber security and more.

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