Data Scientist - Outside IR35 - Hybrid/Scotland
Gigged.AI Glasgow, Scotland, United Kingdom · £117K–£130K/yr
Software Development · 11-50 employees
About the role
The Data Scientist will design and execute machine learning experiments to address production and product-related business challenges. They will manage the end-to-end lifecycle of machine learning projects, from data exploration and model building to deployment and stakeholder communication.
What they look for
Requirements
Candidates must have 3 to 5 years of hands-on data science experience with a strong foundation in machine learning and experimental design. Proficiency in Databricks and exposure to Microsoft Fabric are required to support production and inventory decision-making.
Full description
Gigged AI is an On demand talent marketplace specialising in the IT and technology sector. We have an opportunity live at the moment for a Data Scientist - Outside IR35 - Hybrid/Scotland within one of our clients.
All proposals will be reviewed on the Gigged AI platform. In order to send a proposal please head to app.gigged.ai and create a free talent profile and apply to the role directly.
All applicant proposals will be reviewed directly on the Gigged AI platform by the hiring manager.
- In order to send a proposal please follow the below steps
- head to app.gigged.ai and create a free talent profile
- once signed in, follow this link to the project - https://app.gigged.ai/find-a-gig/ebmGJXJ0A4o
- you will now see a 'submit proposal' button
- please fill this in (intro, relevant experience, and attach CV to this)
Project Overview A global FMCG company in Scotland is seeking a hands-on Data Scientist for a 6-month contract, starting mid-November 2026.
This hybrid role requires approximately 60% onsite presence with some flexibility. The project involves applying real machine learning to solve production and product-related business problems, not just reporting or dashboard creation.
Location: Scotland
Duration: initial 6 months, high probability to extend
Rate: Flexible (£450-£500) depending on years of experience
IR35: Outside, pending final determination
Key Responsibilities
- Design and run experiments to understand product development and changes over time.
- Model the impact of raw materials and production processes on final product characteristics.
- Use data to support stock and inventory decisions.
- Manage machine learning projects end-to-end, including problem framing, data exploration, model building, testing, and deployment.
- Communicate approaches and results clearly to both technical and non-technical stakeholders.
Required Skills and Experience
- 3 to 5 years of hands-on data science experience.
- Strong machine learning fundamentals, including problem framing, experimental design, and algorithm selection and tuning.
- Proven track record of delivering machine learning models end-to-end rather than just analysis or visualisation.
- Hands-on experience with Databricks.
- Exposure to Microsoft Fabric.
Deliverables
- End-to-end machine learning models addressing production and product questions.
- Experimental designs and analyses related to product development.
- Data-driven insights supporting inventory and stock management decisions.
- Clear documentation and communication of technical work to stakeholders.
Salary: 450 - 500 GBP Per day
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