Data Science / Data Mining Specialist
| Job Type | Temporary / Contract |
| Location | Gaydon |
| Area | Gaydon, UK |
| Sector | Professional Services - Analyst |
| Salary | Market related |
| Currency | GBP |
| Start Date | |
| Advertiser | Jack Slater |
| Job Ref | 6542 |
| Job Views | 7 |
- Description
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 26th March 2027.
Umbrella Pay Rate: £29.64 per hour.
Key Accountabilities and Responsibilities:
- 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.
Key Interactions:
- Manufacturing Engineering Platform Teams.
- Manufacturing Engineering Management.
- JLR Digital / data teams.
Essential Skills, Knowledge and Experience Required:
Hard Skills:
- 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.
