At a Glance
- Tasks: Join our team to analyse data and model future energy scenarios for a sustainable world.
- Company: Be part of NESO, leading the charge in Great Britain's energy transformation.
- Benefits: Enjoy a competitive salary, flexible working, and generous leave policies.
- Other info: Flexible roles available with opportunities for career growth and mentorship.
- Why this job: Make a real impact on climate change while developing your skills in a dynamic environment.
- Qualifications: Strong programming skills in Python, Excel, and SQL; experience in predictive modelling.
The predicted salary is between 54000 - 64000 € per year.
At the National Energy System Operator (NESO), we play a vital role in tackling climate change and securing Great Britain's energy future. We already operate the world's fastest decarbonising electricity system and are working towards our ambition to run it carbon-free for a short period this year - provided the market supplies electricity exclusively from renewable sources. Alongside this, we provide expert advice to government on how to deliver a clean power system by 2030.
In autumn 2024, the Electricity System Operator (ESO) transitioned to become NESO - an independent, expert public corporation with a whole-system view across electricity, gas, and hydrogen. NESO operates independently and transparently, always acting in the best interests of all energy users. Licensed and regulated by Ofgem, we make impartial decisions that balance sustainability, affordability and security. Our organisation is fully independent from government, the regulator and all commercial interests, with a clear focus on system-wide benefit, long term thinking and public value.
The time to deliver is now. Join the energy transformation and help shape the future. Your energy. Our future. Together.
National Energy System Operator (NESO) recognises the potential of bright and talented individuals, and we encourage you to join us as Great Britain’s energy system undergoes an ambitious, exciting, and vital transformation. Together with industry, we are creating a cleaner, more sustainable energy future.
About the Role
National Energy System Operator (NESO) are looking for Data Scientists to join our Energy Insights & Analysis (EIA) team. This role will play a key part in managing the data, and in maintaining and delivering the models that underpin our long-term view of gas, electricity and hydrogen supply and demand and the UK’s 2050 net zero emissions target. You will play a key part in developing our ability to model how the energy requirements of tomorrow will evolve and be met. You will work closely with your colleagues to understand their requirements and develop solutions that meet these needs. You will work closely with our technology partners to ensure that the platforms and data are in place to support the work that we do. In addition, you will contribute to the wider transformation and continuous improvement of the functioning and outputs of the wider Energy Insights and Analysis team.
This role can be based from Wokingham, Warwick or Glasgow and we continue to offer hybrid working from office and home. We are open to full time and part time applicants, as well as flexible working arrangements.
Key Accountabilities
- Understand the needs of the business and developments needed to meet net zero targets
- Engage with stakeholders at all levels to gather and understand their requirements
- Identify where existing models or processes need to adapt to reflect these
- Employ relevant computer science, economic, statistical programming and data management skills to solve business problems
- Work collaboratively with analysis teams and technology partners to deliver models, tools and business process improvements that facilitate efficient use of the models and data available
- For higher levels – Mentor and guide others across the team and department on model development and ways of working
- For higher levels – Drive changes to ways of working around modelling, quality assurance, and technology deployment in a co-ordinated fashion
- For higher levels – Lead on projects across the department and wider business, identifying opportunities and proactively progressing them to improve accuracy, transparency, and turnaround time
About You
We’re forging the path, and we know we can’t do it alone. That’s why we need visionary minds like yours to join us on this transformative journey. In this case, we’re looking for someone who:
- An ability to handle challenges and meet tight deadlines
- Advanced programming skills in Python, Excel, and SQL
- Experience in building and evaluating predictive models
- An inquisitive mind with the ability to join the dots
- Excellent interpersonal and communication skills
- Experience of communicating with, and influencing, internal and external stakeholders at a range of levels
- Ability to work with a wide range of people to drive forward delivery
- Project management and planning skills to ensure activities, deliverables and deadlines are met on time whilst ensuring high quality
- Experience with the cloud computing platforms, such as MS Azure or Palantir Foundry, is desirable
- A strong background and interest in the future of energy (especially decarbonisation) is desirable
What You'll Get
A competitive salary of £54,000 - £64,000 dependent on experience and capability. As well as your base salary, NESO's core benefits are the essential perks and advantages that form part of your employee package:
- You will receive a bonus based on company performance
- 26 days annual leave as standard
- A competitive contributory pension scheme where we will double match your contribution to a maximum company contribution of 12%
- Annual Enrollment to NESO Savings Plan, when you save between £20- £500 a month from your take-home pay, we will pay a 50% matching contribution
NESO's flexible benefits programme provides you with more flexibility around your health, lifestyle and protection benefits, here's just a few available:
- Flexible Bank Holidays & Holiday Trading
- Additional Birthday Day Off
- Cycle to Work Scheme, Retail & Gym Discounts
- Private Medical Insurance, Critical Illness Insurance & Personal Accident Insurance
More Information
This role closes at 23:59, on the date displayed at the top of this advert, however we encourage candidates to submit their application as early as possible and not wait until the published closing date as this can vary. Research shows that some people may hesitate to apply unless they meet every single requirement. At NESO, we believe potential comes in many forms and we're committed to a fair, inclusive recruitment process where everyone has the opportunity to show their talents. We celebrate the difference people can bring into our organisation, and welcome and encourage applicants with diverse experiences and backgrounds.
Data Scientist, Future Energy Scenarios employer: National Energy System Operator Limited
At the National Energy System Operator (NESO), we are committed to fostering a dynamic and inclusive work environment that empowers our employees to contribute meaningfully to the energy transformation. With competitive salaries, generous benefits including a double-matched pension scheme, and flexible working arrangements across our locations in Wokingham, Warwick, and Glasgow, we prioritise employee well-being and professional growth. Join us in shaping a sustainable future while enjoying a culture that values innovation, collaboration, and diversity.
Contact Detail:
National Energy System Operator Limited Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist, Future Energy Scenarios
✨Tip Number 1
Network like a pro! Reach out to current employees at NESO on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections!
✨Tip Number 2
Prepare for those tricky questions! Think about how your skills in Python, SQL, and data modelling can help NESO achieve its net zero targets. Be ready to share specific examples of your past work that align with their mission.
✨Tip Number 3
Show your passion for energy transformation! During interviews, express your enthusiasm for decarbonisation and how you see yourself contributing to NESO's goals. They want to know you’re not just looking for a job, but a chance to make a difference.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the NESO team and being part of the energy revolution.
We think you need these skills to ace Data Scientist, Future Energy Scenarios
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your programming skills in Python, Excel, and SQL, and showcase any experience with predictive models. We want to see how your background aligns with our mission at NESO!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the future of energy and how you can contribute to our goals. Be sure to mention your ability to engage with stakeholders and drive projects forward.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in the past. We love candidates who can think critically and adapt existing models or processes to meet new demands, especially in the context of decarbonisation.
Apply Early!:Don’t wait until the last minute to submit your application. We encourage you to apply as soon as possible through our website. This way, you’ll have the best chance to stand out and be considered for this exciting opportunity!
How to prepare for a job interview at National Energy System Operator Limited
✨Know Your Data
As a Data Scientist, it's crucial to be well-versed in the data you'll be working with. Familiarise yourself with the types of data NESO handles, especially regarding energy supply and demand. Be prepared to discuss how you would approach modelling these datasets and any relevant experience you have.
✨Showcase Your Programming Skills
Make sure to highlight your advanced programming skills in Python, SQL, and Excel during the interview. Bring examples of projects where you've built or evaluated predictive models. This will demonstrate your technical expertise and problem-solving abilities.
✨Engage Stakeholders
Since the role involves engaging with stakeholders at various levels, prepare to discuss how you've successfully communicated complex data insights in the past. Think of specific examples where you influenced decisions or collaborated with others to meet project goals.
✨Demonstrate Your Passion for Energy
Show your enthusiasm for the future of energy and decarbonisation. Research current trends and challenges in the energy sector, and be ready to share your thoughts on how data science can contribute to achieving net zero targets. This will help you connect with the mission of NESO.
