Job Description
SSE has big ambitions to be a leading energy company in a low carbon world. Following our commitment to invest £20.5 billion in low carbon projects to 2027, we have significant growth plans and are well on our way to achieving our ambition to build a world that's more sustainable and inclusive for you, your family, the community you live in and for generations to come.
Join us on our journey to net zero and help us power change.
Base Location: Havant or Reading
Salary: £competitive + performance-related bonus + a range of benefits to support your finances, wellbeing and family.
Working Pattern: Permanent | Full Time | Flexible Firstoptions available
About the Role
This position sits within the Data Science team in TD&D (Technology, Digital & Data) supporting SSEN Distribution across a number of core uses cases including, facilitating & supporting the transition to net zero, assisting the delivery of the ED2 (Electricity Distribution 2) agreed business plan, driving efficiency savings via the use of automation/machine learning & insight & building market leading machine learning technology solutions to drive best in class service to our customers.
As a Senior Data Scientist, you'll help to drive innovation and the usage of machine learning technology to support key business use cases, leveraging the Azure platform, Python, Data-bricks, SQL, DevOps & geospatial data to create end to end products to support key products.
Key responsibilities for this role will include:
- Support the adoption of machine learning products across the wider SSEN business, with products such as fault volume forecasting, high resolution weather data insights & the network load model.
- Work closely with business stakeholders to create high impact, value returning products to impact on key business metrics.
- Create sustainable solutions & working with our data quality/governance teams & ensuring compliance to data security & GDPR.
- Leveraging advances in AI/ML technology to work alongside the Data science team to create a series of prototype products in the field of generative AI (ChatGPT).
- Utilise best practice for coding standards, use of repos, DevOps springs & Agile boards to ensure alignment with TD&D ways of working.
What do I need?
To be successful in this role, we would love you to have:
- Extensive experience with the Microsoft Azure platform, Python, Databricks, SQL, Geospatial tools, Azure DevOps, use of repo, data factory & pipeline creation.
- Machine learning experiencing on the Microsoft Azure platform, AutoML, Python.
- Excellent communication & stakeholder management skills, with the ability to drive value via end to end ownership of business use cases related problems.
- Early experience of new tech - such as NLP & generative AI (familiarity with potential use cases, value & concerns - ethical AI, information security).
- Front end development (GUI) experience with the ability to leverage the Azure platform to create positive user experience generating tools off the back of key data science machine learning products.
About our Business
SSE IT underpins the technology needs of all the different businesses that make up the SSE group. From emerging technologies to data and analytics to cyber security - we power SSE's growth and enable it to generate value, while keeping it secure. As a trusted business partner that helps SSE lead in a low carbon world, we are proud of our service. Working for SSE IT is all about equipping SSE for now and the future.
What's in it for you?
We offer an excellent package with 34 days annual leave entitlement. Enhanced maternity/paternity leave, discounted healthcare, salary sacrifice car leasing and much more, view our full benefits package on our careers site.
As an equal opportunity employer we encourage diversity and are committed to creating an inclusive environment for all employees. We encourage applicants from all protected characteristics and commit to providing any reasonable adjustments you need during the application, assessment and upon joining SSE. Search for 'Inclusion & Diversity at SSE' to find out more.
Further actions
All applications should be made online, and I'll be back in touch after the vacancy closing date to let you know the outcome.
If you would like to discuss any working flexibly requirements or adjustments you may require throughout the recruitment and selection process, please contact Laura onlaura.morrison@sse.com / 01738 341814.
Before commencing your role with SSE, you'll need to complete our pre-employment screening process. This will consist of a criminality and credit check.
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