Senior Data Scientist


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Limejump is an award-winning energy tech company, connecting customers to our in-house trading and data centres as we work to revolutionise the UK energy industry.

We are an ambitious company, looking to change the way businesses and consumers interact with their electricity. Following our acquisition by Shell New Energies last year, we are looking for talented individuals to support exponential growth against our sustainable goals. This is an exciting opportunity to join an independently operating, fully owned subsidiary of a globally established energy company and to become instrumental in challenging and changing the smart grid space. Our culture is shaped by individuals who want to make a difference every day and enjoy working in a collaborative environment.
The Role

You will as our Senior Data Scientist here at Limejump be responsible for contributing to and help lead data science and machine learning projects, with a focus on using modern methods for improving the performance of a variety of forecasting models.

Your primary responsibility is to further improve Limejump’s data science and machine learning capabilities, solutions and production services, with a particular focus on time series analysis and forecasting. You will spend time both improving the performance of existing forecasting models, as well as developing greenfield forecasts in new areas for the business. As a senior member of the team, you will also mentor the more junior members of the team, and operate as a subject matter expert across the business.

You will have a proven track record of applying data science in production environments, a strong attention to detail and the ability to learn and work independently. This position will report directly to our Head of Data Science.

 What you’ll do:

  • Designing, building and deploying data science solutions, such as:
    • Creating and improving machine learning models for forecasting.
    • Creating market-leading algorithms that are used to operate and/or manage distributed energy assets, including in real-time.
    • Build and validate models, applications, and services for guiding decisions by analytics, commercial, trading and operations teams.
  • Explore how machine learning methods, processes, and techniques can be further applied to core Limejump challenges, and present key findings internally and externally.
  • Contribute towards Limejump’s data science strategy and roadmap.
  • Maintain strong relationships with internal and external stakeholders.
  • Responsible for project and team management.

Essential Requirements:

  • Experience working with time-series data, ideally in real-time.
  • Quick understanding of complex problems, and problem-solving skills.
  • Both project and team management experience.
  • Good verbal and written communication skills.
  • A degree (BSc/ MSc/ PhD) in a quantitative subject (Maths, Physical sciences, Computer science etc…).
  • 4+ years of experience in using Python for commercial data science work within data-intensive environments, especially in the energy, tech, finance, or consumer goods sector.
  • Expertise with machine learning and deep learning techniques and frameworks, especially those used for time series prediction.
  • Demonstrated ability to work with large volumes of data, such as for forecasting and real-time control of assets, preferably processing live data streams.
  • A flexible, innovative mindset: this is a fast-moving often complex environment where you will have to take responsibility for solving difficult problems.

Desirable Skills:

  • Experience in developing or supporting forecasts within the energy sector
  • Experience in Bayesian statistics and/or econometrics
  • Top Data Science credentials (such as Kaggle Masters)
  • Further degree in Artificial Intelligence, Machine Learning, Data Science (MSc/ PhD)
  • Ideally, we are looking Full Stack Data Scientist; as such you would be expected to understand the business and industry context, conceptualise solutions, extract and prepare data, develop models, write production-ready code, deploy the models and algorithms, and track their performance

Note: All applicants must have a current right to work in the UK without a work permit. Limejump cannot sponsor employment visas for this role.

Company Benefits

  • Flexible working options and 25 days annual leave (+ a day off for your birthday!)
  • An Innovation Card loaded with your learning budget and 10% time to learn at work
  • A subsidised onsite gym membership and a Cycle to Work scheme
  • Regular team social events, summer and Christmas parties
  • Shared Lunch n’ Learns sessions and skill sharing opportunities
  • A friendly plant-filled office with regular fruit delivery and fresh roasted local coffee
  • Fair pay and performance practices, including a transparent bonus structure.
  • A holistic Employee Assistance programme, offering free phone and/or face-to-face counselling and an excellent discount programme

Diversity Statement

Limejump values equality and diversity, and we welcome applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, gender identity, religion or belief, marital status, or pregnancy and maternity.
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