Following the acquisition by DCC of Fuel Card Services in 2005, we’ve gone from strength to strength, growing through acquisitions and organic growth. Today we’re one of the largest fuel card providers in the UK, selling over 800 million litres of fuel to over 50,000 customers, with over £1 billion of sales in FY24.
Whilst our legacy is in fuel cards, we’re focused on continuing to drive performance and double our profit by 2030. We’ll do this by listening to our customers, harnessing digital innovation, supporting EV transitions, and expanding our suite of fleet products and services. We intend to find sustainable solutions wherever we can, so that we don’t just meet the needs and expectations of our customers but exceed them.
With an ambitious and energetic team of over 250 talented colleagues, across four locations, we’re working together to become the leading provider of energy and mobility services to the UK’s SME sector.
Caring forms part of our five core values, along with respect and how we treat others, collaboration and working well together, diversity and inclusion and valuing our differences, and innovation which will help us find the solutions we need and overcome any challenges to realise our vision.
About the Role
Reporting to the Business Intelligence Manager, the Data Scientist will be responsible for leading the analytical capability that drives improvements through our acquisition, sales and pricing strategies. This is a key role in increasing growth through an iterative, data-driven test and learn approach across all aspects of the business.
Key Responsibilities
- Work alongside key departments including IT, Marketing, Sales etc. to identify key business challenges and develop a roadmap for achieving strategic goals.
- Promote the use of data driven decision making through different analytical and statistical approaches and technological developments.
- Work with large and complex data to develop and deliver a number of predictive and propensity models to optimise acquisition and margin, cross sell and reduce churn.
- Utilise multiple internal and external data points to develop responsive pricing models that will optimise the value of our full suite of products.
- Support and enhance existing predictive customer behavioural data model, using internal and external data to identify key growth opportunities.
- Collaborate with IT and BI teams to identify and integrate valuable data sources, automate data collection processes and ensure data quality and integrity.
- Effectively manage project documentation, analyses, presentations and timelines, ensuring clear communication and understanding of findings and commercial implications.
- Engage with the BI Reporting Team to build and enrich data visualisation tools and dashboards to communicate findings and recommendations to stakeholders in a clear and actionable manner.
Requirements
- Proven experience working as a Data Scientist or in a similar analytical role, preferably within the fleet industry
- Strong proficiency in programming languages including Python, R and SQL for data manipulation, analysis, and modelling
- Strong commercial acumen, able to contribute directly to overall business strategy and identify opportunities for models and technical solutions to solve commercial problems
- Strong understanding of statistical analysis, machine learning techniques, and optimisation algorithms
- Experience with data visualisation tools such as Qlik, Power BI, or Matplotlib for presenting insights and findings is preferable
- Excellent communication skills with the ability to effectively collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders
- Degree or a higher education qualification in a relevant field
Benefits
- Hybrid working - 3 days on site and 2 from home
- An additional day annual leave for your birthday
- Free breakfast
- Early Friday finish - 2:45pm
- Fun, supportive working environment
- Dress down office
- Pension
- 4 x salary life assurance
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