Our client is the UK’s first 100% renewable energy supplier and is heavily investing in data to support their innovation and expansion. As part of their growth, they’re searching for an experienced Data Scientist to support them in solving critical business challenges through architecting and deploying robust machine learning models to provide commercial impact.
Founded in 2019, the company is currently at just under 1000 people with offices in London and Nottingham. They operate a hybrid working model with most employees coming into the office around twice a week.
RESPONSIBILITIES
The Data Scientist will join a team of data analysts, data scientists and data engineers focused on applying ML methods to important use cases across several areas of the organisation. The Data Scientist will not only be a technical expert but also capable of steering data science projects from ideation to implementation. The successful candidate will thrive in a fast-paced environment with high levels of empowerment and will be focused on driving impact and business value.
The role will involve:
- Spearheading initiatives with cross-functional stakeholders, distilling complex requirements into robust data science models such as regression and propensity models, time series modelling, ensemble methods, or neural networks for optimal decision making
- Partnering with business stakeholders to unearth untapped data science applications
- Acting as the go-to authority for data products and advanced algorithmic solutions, with expertise spanning from classical statistics to machine learning
- Translating complex data models into actionable insights
- Clarifying complex data narratives through sophisticated visualisations and dashboards
- Taking command of intricate data project, transforming business questions into data science initiatives employing best practice principles
- Coaching and mentoring more junior data scientists, fostering a culture of innovation, best practices and peer-review within the team
A BIT ABOUT YOU:
- Minimum 4 years’ hands-on experience as a Data Scientist
- BSc or MSc in a quantitative discipline
- Deep expertise in Python (production-level) and SQL
- Proficiency in ML libraries (eg. Pandas, scikit-learn, Tensorflow) and experience with MLOps frameworks for model deployment
- Strong visualisation skills including experience with Tableau
- Experience with cloud-based data pipeline architectures (eg. Databricks) and platforms (eg. AWS)
- Familiarity with Git-based source control methodologies, including branching and pull requests
- Exceptional communication skills
- Proven track record of translating complex technical findings into actionable business insights
- A self-starter, passionate about converting data into actionable insights and business value
- Adaptive to fast-paced, high autonomy environments
- Eager to contribute to a culture of growth and innovation
BONUS POINTS FOR:
- Energy retail sector experience
- Experience with PySpark
COMPENSATION AND BENEFITS
- Competitive base salary + discretionary annual bonus
- 26 days annual leave (including guaranteed birthday off) + UK bank holidays
- Generous pension scheme (you contribute 5%, they contribute 6%, increasing to 10% after 2 years)
- Flexible hours
- Excellent parental leave allowance
- Other great benefits available including private medical/dental and holiday top up
Our client is committed to being an inclusive employer. They recognise that everyone is different and they aim to provide a working environment where each person feels respected, valued and able to achieve their full potential. They are happy to consider flexible working arrangements. If you require any reasonable adjustments, please just let us know.