Senior Data Scientist Consultant – AI Adoption Programme (UK Based) | Gigged.AI · Teeming.ai
Gigged.AI
Gigged.AI exists to eradicate tech skill shortages for enterprises using the power of internal mobility and our contingent talent network. Our products employ AI and skills-based matching to put the…
Gigged.AI exists to eradicate tech skill shortages for enterprises using the power of internal mobility and our contingent talent network. Our products employ AI and skills-based matching to put the…
Product: AI-powered internal and open talent marketplaces + workforce intelligence
Contractor pool: Claims access to 25,000+ vetted contractors across ~500 technical skills
Founders: Rich Wilson (CEO) and Craig Short (CTO)
Notable funding: SMART: Scotland grant (£100,000) and a Seed round with Par Equity, Nile HQ, Techstart Ventures
Company Overview
Problem Domain
Talent sourcing, internal mobility, workforce intelligence, and contingent workforce management.
Industry
Software Development
Funding Track Record
Grant- 2022-07-18
£100,000
SMART: Scotland grant award
Seed- 2023-01
Seed round with participation from Nile HQ, Techstart Ventures and others
Investor Signal
“Seed round led by Par Equity with participation from Nile HQ, Techstart Ventures and support/grants from Innovate UK and The Data Lab”
Founders
What we do
Join the Team
Senior Data Scientist Consultant – AI Adoption Programme (UK Based)
RemoteScotland, GB
Remote • Scotland, GB
Gigged.AI is a freelance talent marketplace specialising in the IT and technology sector. We have an opportunity live at the moment with one of our clients for a
Senior Data Scientist Consultant – AI Adoption Programme (UK Based)
If interested then you
must
submit a proposal through the Gigged.AI website for this gig. You can do so here - https://app.gigged.ai/
Senior Data Scientist Consultant – AI Adoption Programme (UK Based)
We are looking for a senior data consultant to join the delivery team and help manufacturers adopt and embed AI solutions.
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Location -
Remote (if close to Edinburgh there is the opportunity to work hybrid)
Outside IR35 - pending final determination via Qdos
Rate - £400-500 per day (experience dependant)
Duration:30 days between start of Feb and end of March. Days worked can be flexible, as long as 30 are completed within this time frame.
The Project
Our Clients Data Lab is leading a government-funded AI adoption programme, supporting 30–40 manufacturing SMEs to harness AI for real-world impact.
We’re seeking a Senior Data Scientist Consultant to join the delivery team and help manufacturers adopt and embed AI solutions.
What You’ll Be Doing
- Deliver hands-on applied data science support across multiple SMEs as part of a national AI adoption programme.
- Work directly with SMEs to scope, design, and deliver practical data and AI solutions in short, focused engagements (typically 2–5 days).
- Support sensor-enabled use cases, including ingestion of data from IoT devices (e.g. machines, environmental sensors) into cloud platforms.
- Build and maintain cloud-based data pipelines, covering batch and streaming workflows (e.g. MQTT, APIs), data cleaning, and transformation.
- Work with cloud data platforms (including Snowflake) to store, transform, and analyse SME data in support of analytics and AI use cases.
- Develop clear, lightweight analytics and dashboards (e.g. Power BI, QuickSight, Grafana, or similar) to enable operational and business decision-making.
- Apply data science and analytics techniques to real-world problems such as monitoring, optimisation, forecasting, and anomaly detection.
- Translate technical outputs into clear, actionable business insights for non-technical stakeholders.
- Document technical work clearly to support knowledge transfer, reporting, and programme evaluation.
Who We’re Looking For
- Proven experience as a Senior Data Scientist or Applied Data Consultant.
- Strong background in applied data science and data engineering, rather than purely research-focused roles.
- Experience with modern cloud platforms.
- Snowflake experience strongly preferred, particularly for analytics, data modelling, and transformation workflows.
- Experience working with streaming or near–real-time data (e.g. MQTT, event-driven ingestion) is highly desirable.
- Strong skills in data wrangling, analytics, and visualisation (e.g. Power BI, QuickSight, Grafana).
- Excellent customer-facing and stakeholder engagement skills, with the ability to explain technical concepts clearly.
- Comfortable working independently, managing time effectively, and delivering value quickly.
- Experience working within public-sector or university delivery contexts is a plus.
