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.a i 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.