Data Science / Data Mining Specialist

Our OEM Client based in Gaydon, is searching for a Data Science / Data Mining Specialist to join their team, Inside IR35. This is a maternity cover contract position with a proposed end date of 26^th March 2027., + Engage with stakeholders and management to identify opportunities, improvements and gaps in current reporting.

• Identify, clean and transform operational data to create actionable insights and dashboards.
• Automate data extraction and transformation processes.
• Identify, develop and maintain Power App solutions for gaps in current data capture.
• Undertake any other work as directed by their line manager in connection with their job as may be requested from time to time.

• Proven experience of developing dashboards and reporting capabilities with Tableau.
• Ability to visually display data in a meaningful way that helps the end user understand business performance and take appropriate actions.
• Understanding of data modelling and relational database structures.
• Experience using SQL to extract and transform data.
• Experience automating data extraction and transformation processes.
• Experience developing and maintaining Power Apps and Power Automate solutions.
• Possess a valid driving licence, required to travel to different UK sites when required.

Soft Skills:

• Ability to work independently and proactively, taking full ownership and responsibility for own work; fully invested in achieving a successful result.
• You view things as a team rather than individual project level, considering the wider team needs.
• Strong interpersonal/communication skills, including ability to manage relationships and communicate effectively at all levels.
• Good influencing skills.
• Good problem-solving skills.

Desirable Skills, Knowledge and Experience Requested:

Hard Skills:

• Experience using the Enterprise Data Warehouse to extract, transform and load data.
• Experience with Python.

Education Required:

• Relevant Data apprenticeship / Degree or equivalent experience preferred.