Team Lead for Data Science at PAIR Finance focusing on machine learning product development. Leading a team to innovate in debt collection with AI - driven insights.
About the role
- Data Science Analyst supporting digital and data-driven initiatives at Uniper. Developing low-code analytical tools and dashboards while engaging with stakeholders to improve decision-making.
Responsibilities
- Low-code software engineering to develop dashboards and applications using tools such as Power BI and the Microsoft Power Platform
- Assist in gathering, cleaning, and analysing asset data using tools such as Power BI, AVEVA PI, SAP, and SEEQ, with guidance from the team
- Support the development, validation, and maintenance of reports and dashboards used to track key performance indicators (KPIs) for operational and central functions, following 4-eyes review practices
- Help design, test, and improve simple data tools or scripts (e.g. low-code or Python) to automate routine reporting or data transformation tasks
- Contribute to Uniper’s COODE (Chief Operating Officer Digital Evolution) initiative by providing input, feedback, and support to local digital engagement activities, in line with our digital strategy
- Work with internal stakeholders, alongside the team, to understand data needs and assist in delivering practical, well‑documented solutions
- Support knowledge sharing by maintaining clear documentation of data sources, analysis steps, and tool usage
- Assist in ongoing digitalisation and process improvement projects as part of the wider team
Requirements
- Studying towards a degree in Data Science, Computer Science, Engineering, or a related analytical field
- Basic proficiency in data analysis tools such as Power BI, Python, Excel, or similar; awareness of platforms such as SAP, AVEVA PI, Copilot, and the Microsoft Power Platform is advantageous but not essential
- Strong analytical and problem‑solving skills, with an ability to work with structured and unstructured data
- Good written and verbal communication skills, with the ability to present data clearly to technical and non‑technical audiences
- Demonstrated interest in digitalisation, data‑driven decision‑making, or continuous improvement initiatives
- Ability to work independently on defined tasks, collaborate effectively as part of a small team, and work with remote colleagues using digital collaboration tools such as Microsoft Teams
- Curious, proactive, and open to learning new tools, technologies, and ways of working
Benefits
- Competitive salary
- Personal development and Learning opportunities
- Enhanced company pension – With up to 12% company contributions
- 26 days annual leave plus Bank Holidays
- Electric vehicle charging at our sites
- In house Occupational Health Services
- Company funded Private Medical Insurance including free GP service
- Performance related benefits
- Access to a range of flexible benefits such as Share Incentive Plan, Dental, Critical Illness and Life Insurance, Cycle2Work, or buy and sell extra holiday
- Future career opportunities (UK & International) with a strong focus on Diversity Equity and Inclusion
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