National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist

Gazprom Energy
Manchester
2 years ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Are you an experienced Data Scientist looking to join an organisation committed to placing data and technology at the heart of their business model?

As a B2B energy supplier SEFE Energy supplies thousands of businesses across the UK, France, and Netherlands. To remain competitive, we must be agile, constantly adapting to the ever-changing energy world, driven by forces of decarbonisation, competition, digitalisation and shifting customer expectations. Our Always Reaching for Better strategy equips us to respond to changes and advancements, and quickly seize opportunities to grow and develop.

Want to join us on our journey?

We are looking for someone to join our Portfolio Modelling team in Manchester or London. Working with key stakeholders you will help develop tailored insight into demand and portfolio forecasts across Gas, Power & Emissions. This is a fixed term contract for up to 12 months to cover maternity leave.

What you will do?

In the role of Data Scientist you will work closely with your immediate colleagues whilst building effective working partnerships across Portfolio Management, Sales, Risk and Finance to ensure we maintain rigour and accuracy around our data modelling and produce industry leading forecasts.

You will also

  • Develop, deploy and maintain industry leading modelling solutions and deliver analytical insights to support wider business success
  • Deal with the discovery of new structured & unstructured data sources from internal systems, industry APIs/web scraping/file flows, Counterparty news sources & market participant data sets
  • Collaborate with risk management in the development of new products and solutions to minimise portfolio risk and exposure
  • Ensure a stable & automated operating environment, with strong back up & benchmarking processes, for data analytics, visualization, quality assurance, report content monitoring and issue resolutions
  • Liaise across our stakeholders to ensure tier one insight into portfolio EBITDA performance, customer metrics, price & fundamental influences, and external portfolio impacts
  • Build strong collaborative relationships with key stakeholders to ensure the desk, department, business forecasts and insights are industry leading
  • Input in R&D for concept & prototype development for data mining & data-gathering techniques leading into ML/AI design and forecast data visualisation

What you’ll bring to the role?

You will bring proven experience in an analytical role demonstrating the ability to work at pace whilst maintaining a high degree of accuracy. Self-motivated with strong organisational skills you will have effective communication skills (both written and verbal) with the ability to position your message appropriately for the audience.

You will also demonstrate the following

  • High level proficiency in Python, SQL and Machine learning techniques
  • Advanced analytical competencies
  • Experience using data visualisation tools
  • Knowledge of forecasting techniques
  • Exposure to production engineering technologies such as docker
  • Proven experience in data science across finance, trading or energy industry
  • Experienced in the delivery of time series forecasting and analysis (desirable)

Our offer to you

In return we offer a competitive starting salary supported by a comprehensive, and broad reaching benefits package which includes

  • bonus earning potential
  • non-contributory pension
  • 25 days holiday plus bank holidays
  • buy / sell holidays
  • life assurance
  • allowance for medical and dental insurance
  • range of optional flexible benefits

Based from our offices in either Manchester or London, you can benefit from hybrid working offering the flexibility to spend some of your working week at home.

We are committed to supporting your career growth with opportunities to develop both your knowledge and experience through a blended approach to learning.

Who are we?    

We are part of the SEFE Group – led by SEFE Securing Energy for Europe GmbH in Berlin – which employs approximately 1,500 employees. The 350 people working in SEFE Energy are friendly and positive – you can approach anyone for help and your ideas are always welcome.  We’re committed to our REACH principles – Results, Expertise, Action, Challenge, Have courage – but above all else, we care for each other’s welfare and aspirations and above all offer support as your career develops.

Our focus for 2022 – 2025 is strategic, profitable growth and strengthening our foundations, primarily by placing data and technology at the heart of our business model.  We’re looking for people who are passionate about where we’re going and will help us thrive long into the future.

We’re committed to creating an inclusive environment that embraces diversity and fosters the development of knowledge, skills, and experience, so all our people can thrive and prosper in their careers with us.  We are a place where you can be yourself and make your mark because whatever your role, you’ll find an open, welcoming atmosphere that empowers you, encourages fresh thinking, and recognises your contribution.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Machine‑Learning Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

With deep‑learning projects now integral across healthcare, finance and tech, UK demand for machine‑learning talent is booming. Lightcast shows +50 % YoY growth in UK adverts referencing “machine learning,” “deep learning,” “computer vision” or “reinforcement learning” in Q1 2025. Monthly vacancies sit around 1,800–2,100, but certified ML specialists number fewer than 15,000. Specialist recruiters help candidates access hidden roles, competitive packages, and structured interview prep. How we screened: Only UK‑registered agencies with clear ML/AI or Data practices Agencies that posted ≥ 5 UK ML roles between March and June 2025

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.