Data Scientist
Gazprom Energy
- Manchester, England, United Kingdom
- Manchester, England, United Kingdom
À propos
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?
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.
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Compétences linguistiques
- English
Avis aux utilisateurs
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