Details
1108658
University of Warwick
09/03/2026
Other - See Job
Monday - Friday 36.5 hours
Smart Casual
Pay
£18.76
£2.26
Description
Role
WMG’s Supply Chain Research Group is looking for a Supply Chain Data Scientist or Senior Data Scientist to become a part of the team AI-based supply chain solutions. This role involves transforming raw supply chain data into actionable insights, thus enhancing decision-making and predictability in supply chain operations. This role represents an exciting opportunity for a data scientist to lead in the development of innovative AI-based solutions in the supply chain domain, driving growth and partnerships at WMG.
This is a temporary assignment until 30th August 2026.
Duties and responsibilities
1. Data Engineering and Big Data Management
- Handle large, complex datasets from multiple systems
- Clean, process, and structure data pipelines using modern data engineering tools (e.g., Python, SQL, Spark, Databricks).
- Ensure data quality, version control, data governance, and documentation throughout the lifecycle of each project.
2. Delivery of Data Science Projects
- Develop actionable roadmaps, detailed project plans, modelling strategies, and delivery milestones for industry and research projects.
- Work collaboratively with supply chain domain specialists, software engineers, fellow data scientists, and industry partners to ensure timely and high-quality delivery.
- Implement MLOps practices for reproducibility, scalability, and model monitoring.
3. Engagement, Collaboration & Partnership Development
- Engage proactively with industry partners to understand their business needs, articulate value propositions, and co-create innovative data solutions.
- Contribute to building long-term strategic partnerships and support WMG’s business development activities through technical insights and solution design.
- Deliver impactful presentations, workshops, and training sessions for senior leaders, industry partners, and academic audiences on supply chain AI and digital transformation.
Skills and experience
- A good honours or Masters degree Computer Science, Statistics, or relevant fields.
- 1+ years of experience in data analytics and synthesizing insights.
- Proficiency in SQL, Python, and relevant libraries such as sklearn, pandas, Pytorch.
- Proficient in multi-variate statistics and fundamentals of Machine Learning Algorithms.
- Skilled in creating, training, and evaluating AI/ML models
- Familiarity with cloud platforms like AWS, GCP, data pipelines, and database systems.
- Proven ability in presenting and facilitating meetings for senior managers and stakeholders.
- Strong communication skills for technical and non-technical audiences
- Ability to work both independently and as part of a team
- Ability to deal with and build relationships with collaborative partners
Location
Hybrid
Additional information
- Advert closing date: Midnight on 23/2/26
- Interview date: TBC
- Start date: ASAP after successful interview