Greentech is the hottest sector to work in right now.

And in this role, you’ll harness the power of data science to fight climate change and create the future of green energy.

You’ll have the chance to make a real-world impact at one of the world’s leading clean energy tech companies. The company’s focus is in R&D; bringing new products to market and creating efficiencies. Their partners include the likes of Bosch, Doosan, and Shell.

Reporting to the Head of Digital Engineering, you will guide and influence the team to take new analytical approaches and improved ways of working. You will manage team tasks through sprints and/or backlogs, leading from a strategic point of view with a vision for how.

With your vision, you can position data science to be at the forefront of developing new clean energy technologies. You’ll help to decarbonise the world.

Benefits include:

Flexibility – this is a remote role, but one visit per month to the office is required.

Impact – you will have the unique opportunity to create a new model and make changes that will impact product development. On a higher level, your work could actually accelerate the discovery of new green technologies.

Stability – you can rest assured that this is a financially secure business operating in a critical sector. Due to the nature of the technology and the focus on green energy, there is a lot of partnership investment.

Culture – you’ll join a harmonised and nurturing culture where everyone is motivated to achieve one clear goal. Experimentation and creativity is encouraged to drive the business forward.

Influence – you’ll be empowered to lead by example and influence others with techniques and ways of working.

R&D Focus – by working for an R&D business, you’ll work on a unique business model where new developments are a driving force.

Access to data – you’ll have access to a high volume of data. There is also an unusually strong relationship with the Data Engineering team, and they have made a lot of good decisions about how the data infrastructure and architecture should be set up to best serve Data Scientists.

Innovation – you’ll be part of a company continually striving to break new ground. To be able to work in this field is a really exciting proposition and will open up new markets and opportunities.

Package and benefits – £65k-75k (depending on experience) + benefits (including pension package, discounted shares scheme, 25 days holiday, healthcare and wellbeing policy).

The role:

With a proven track record of bringing models into production, you’ll inspire colleagues with the confidence to try out new techniques and methods.

Your work will identify, develop, and implement end-to-end applications of data science and machine learning techniques to optimise the operations of various departments within Ceres.

You will extract insights and help create improvements in data quality from but not limited to, test and manufacturing data. You will also help to advance the continuous validation of fuel cell stack models used in product development.

Experience required

• A strong engineering background (ideally a degree or PhD in a relevant discipline).
• Ideally, 4-5 years of experience applying data science tools in an engineering, product development, or industrial environment.
• Experience working with a variety of machine learning techniques (regression, classification, clustering etc).
• Knowledge and experience with Python, SQL, and ideally Databricks.
• Familiarity/experience with agile development principles
• Knowledge of and experience implementing software and machine learning model development processes.
• Experience working with large, structured data sets in cloud-based environments.
• Experience in making key decisions on what technique or approach is best for specific use cases/scenarios.

Find out more

For the full story on the business, their product, the role and the rewards, please click the enquire today button.