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- Tasks: Drive innovation in machine learning and create impactful data products for the energy sector.
- Company: Join SSE, a leading energy company committed to a net zero future.
- Benefits: Enjoy competitive salary, performance bonuses, flexible benefits, and wellbeing support.
- Why this job: Make a real difference in the transition to net zero while advancing your career.
- Qualifications: Extensive experience with Azure, Python, and machine learning; strong communication skills.
- Other info: Inclusive workplace with excellent career growth opportunities and support for all backgrounds.
The predicted salary is between 43200 - 72000 £ per year.
This position sits within the Data Science team in TD&D (Technology, Digital & Data) supporting SSEN Distribution across a number of core use 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.
We are looking for a Senior Data Scientist, to help to drive innovation and the usage of machine learning technology to support key business use cases, leveraging the Azure platform, Python, Spark, GenAI / LLMs, Databricks, SQL, DevOps & geospatial data knowledge to create end to end products to support key products. Ideally, you’ll have experience from within the energy industry.
You will:
- Support the creation & adoption of data & AI products across the wider SSEN business, ranging from traditional machine learning, generative AI, advanced analysis & statistics.
- Work closely with business stakeholders to create high impact, value returning products to impact on key business metrics.
- Create sustainable cost optimised solutions (FinOps) & work with our data quality / governance teams ensuring compliance to data security, GDPR & ethical AI best practice.
- Leverage advances in AI technology to work on data science innovation products to create a series of prototype products in emerging fields (Agentic AI).
- Utilise best practice for coding standards, use of repos, DevOps sprints & Agile boards to ensure alignment with TD&D ways of working.
You have:
- Extensive experience with the Microsoft Azure platform, Python, Databricks, SQL, Geospatial tools, Azure DevOps, use of repo, data factory & pipeline creation.
- Machine learning experience on the Microsoft Azure platform, AutoML or 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 Databricks platform (Databricks Apps) to create positive user experience generating tools off the back of key data science machine learning products.
About SSE:
SSE has a bold ambition – to be a leading energy company in a net zero world. We’re investing around £10 million a day in homegrown energy to help power a cleaner, more secure future, part of the wider SSE group, powers 3.9 million UK homes and businesses. Our team of more than 4,200 skilled engineers, customer service advisors and energy experts keep customers connected to a safe, reliable supply of electricity while investing in and developing the flexible networks needed for our low carbon future.
Flexible benefits to fit your life:
- 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.
- Generous family entitlements such as maternity and adoption pay, and paternity leave.
Work with an equal opportunity employer:
SSE will make any reasonable adjustments you need to ensure that your application and experience with us is positive. We’re dedicated to fostering an open and inclusive workplace where people from all backgrounds can thrive. We create equal opportunities for everyone to succeed and especially welcome applications from those who may not be well represented in our workforce or industry.
Ready to apply? Start your online application using the Apply Now box on this page. We only accept applications made online. We’ll be in touch after the closing date to let you know if we’ll be taking your application further. If you’re offered a role with SSE, you’ll need to complete a criminality check and a credit check before you start work.
Senior Data Scientist in London employer: SSE Enterprise
Contact Detail:
SSE Enterprise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at SSE. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your projects, especially those involving Azure, Python, or machine learning. Let them see how you can bring value to their team.
✨Tailor Your Approach
Before any interview, do your homework on SSE and their goals. Show them you understand their mission towards net zero and how your skills can help achieve that. Personalisation goes a long way!
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team at SSE.
We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with Azure, Python, and machine learning, and don’t forget to mention any relevant projects or achievements that align with our goals at StudySmarter.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how your skills can help us drive innovation. Be sure to connect your experience with the specific use cases mentioned in the job description.
Showcase Your Communication Skills: Since excellent communication is key for this role, make sure your application reflects your ability to convey complex ideas clearly. Use straightforward language and structure your application logically to demonstrate your stakeholder management skills.
Apply Through Our Website: Don’t forget to apply through our website! It’s the only way we accept applications, and it ensures your details are processed correctly. Plus, it gives you a chance to explore more about us and what we stand for at StudySmarter.
How to prepare for a job interview at SSE Enterprise
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Azure, Python, and machine learning. Brush up on your knowledge of geospatial tools and DevOps practices, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data science problems. Highlight how your solutions drove value for previous employers, especially in the energy sector if applicable. This will demonstrate your ability to create high-impact products.
✨Communicate Clearly with Stakeholders
Since excellent communication is key, practice explaining technical concepts in simple terms. Be ready to discuss how you’ve collaborated with business stakeholders in the past to ensure your projects align with their needs and objectives.
✨Stay Updated on AI Trends
Familiarise yourself with the latest advancements in AI, particularly generative AI and ethical considerations. Being able to discuss current trends and potential use cases will show that you’re not just technically skilled but also forward-thinking.