Address Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
When you join EDF Trading you’ll become part of a diverse international team of experts who challenge conventional ideas, test new approaches and think outside the box.
Energy markets evolve rapidly so our team needs to remain agile, flexible and ready to spot opportunities across all the markets we trade in: power, gas, LNG, LPG, oil and environmental products.
EDF Group and our customers all over the world trust that their assets are managed by us in the most effective and efficient manner and are protected through expert risk management. Trading for over 20 years, it’s experience that makes us leaders in the field. Energy is what we do.
Most of all, we value our people. Become part of the team and you will be offered a great range of benefits which include hybrid working, a personal pension plan, private medical and dental insurance, bi-annual health assessment, corporate gym memberships, electric car lease programme, childcare vouchers, cycle to work scheme, season ticket loans, volunteering opportunities and much more. We even provide free fruit to keep you healthy.
Gender balance and inclusion are very high on the agenda at EDF Trading so you will become part of an ever-diversifying family of around 800 colleagues based in London, Paris, Singapore, Tokyo and Houston. Regular social and networking events, both physical and virtual, will ensure that you always feel connected to your colleagues and the business.
Who are we? We are EDF Trading, part of the EDF Group, a world leader in low-carbon sustainable electricity generation partnered with JERA, one of Japan’s largest utilities; the perfect organisation at which to begin or progress your career in the commodities sector.
Join us, make a difference and help shape the future of energy.
Energy markets evolve rapidly so our team needs to remain agile, flexible and ready to spot opportunities across all the markets we trade in: power, gas, LNG, LPG, oil and environmental products.
EDF Group and our customers all over the world trust that their assets are managed by us in the most effective and efficient manner and are protected through expert risk management. Trading for over 20 years, it’s experience that makes us leaders in the field. Energy is what we do.
Most of all, we value our people. Become part of the team and you will be offered a great range of benefits which include hybrid working, a personal pension plan, private medical and dental insurance, bi-annual health assessment, corporate gym memberships, electric car lease programme, childcare vouchers, cycle to work scheme, season ticket loans, volunteering opportunities and much more. We even provide free fruit to keep you healthy.
Gender balance and inclusion are very high on the agenda at EDF Trading so you will become part of an ever-diversifying family of around 800 colleagues based in London, Paris, Singapore, Tokyo and Houston. Regular social and networking events, both physical and virtual, will ensure that you always feel connected to your colleagues and the business.
Who are we? We are EDF Trading, part of the EDF Group, a world leader in low-carbon sustainable electricity generation partnered with JERA, one of Japan’s largest utilities; the perfect organisation at which to begin or progress your career in the commodities sector.
Join us, make a difference and help shape the future of energy.
Job Description:
Department
Data Science team
With our ever-growing data catalogue, the Data Science team helps to bridge the gap between data and the business, by providing the means to extract information from the data to be used in key decision-making processes.
The team is responsible for the identification needs for enhancing BAU tasks and processes, followed by the development and support of any model or tool delivered.
Position purpose
As a Machine Learning Engineer, you have the opportunity to bring your experience into the team, improving the quality of work carried out by the team.
The role will require:
- Building the team’s capability to deliver quality solution in a consistent and measurable way,
- Support the build, track, and maintenance of the full end-to-end lifecycle of studies and models,
- deliver the work through rigorous documentation,
- an interest in finding data patterns that can genuinely help the day-to-day tasks of any team,
- long term mindset, streamlining and automating repetitive tasks,
- help build and maintain the supporting infrastructure for the team,
- a keen eye to spot new opportunities or re-use of existing work.
Main responsibilities
- Support Model lifecycle by working on deployment pipelines and processes.
- Extending measurability capabilities of deployed models capturing and analysing performance and value metrics.
- Work towards building of a standard approach to register and maintain models.
- Understand business requirements to help build the roadmap of studies to achieve expected results.
- Work closely with members of the Data Management and Data Automation teams to maximise the use of existing capabilities.
- Collaborate with IT to help interface with existing internal applications and create project templates that we can reuse that benefit from general IT cloud strategy.
- Work with other team members to help:
- plan the strategy and work needed to deliver solutions,
- carry out any data pre-processing of structured and unstructured data,
- apply the full breadth of Machine Learning algorithms to reach objectives optimally,
- present data, studies, and analysis in a digestible format, tailored for the end users
- Carry out both long-term and short-term requests.
- Present data science topics to individuals, both inside and outside the team, with the aim of empowering users to better identify and define requirements.
Experience and technical requirements
Essential requirements:
- Experience with Python web development libraries (Dash, Django, Flask) and raw frontend development (JavaScript, HTML)
- Experience in pipelining and releasing solutions, with some focus on Data Science projects.
- Some C# and .Net Framework or, more generally, experience with object orientated programming.
- Experience in methods to access data (SQL, GraphQL, APIs)
- Experience in programming enterprise level applications (Test Driven Development, Docker)
- Knowledge of Azure cloud platform and its services
- Ability to identify and implement the best data science tool for the job, accompanied with a long-term support plan.
- Taking ownership of the deployment, and support of all the team’s solutions.
Beneficial requirements:
- Good theoretical understanding of the different data science tools and algorithms.
- Experience with data streaming and manipulation technologies (e.g., WebSockets, Kafka, Spark)
- Good mathematical and statistical background.
- Worked in energy trading sector or other experience in commodity trading.
- Other languages (e.g., French, or Italian)
Person specification
- Professional
- Forensic attention to detail
- Self-aware as to the value of current work vs. overall goal.
- Open minded
- Commercially minded – everything is a value proposition.
- Thrive when working in a high energy environment.
- Motivated by outcomes for users.
- Strong collaborator, both in person and online.
- A drive to create exceptional things.
Hours of work:
40 hours per week - Monday to Friday – Hybrid
