3 of 3 Data Scientist Jobs in Yorkshire

Data Scientist

Hiring Organisation
TRIA
Location
Doncaster, England, United Kingdom
Data Scientist £70,000-£88,000 + £5,500 flexible benefits + 12% bonus Doncaster - Hybrid – 3 days per week in the office We are representing an international E-commerce business with a significant and growing supply chain operation, to find their first Data Scientist … looking to bring this expertise in-house - a genuinely exciting opportunity to build something from the ground up in a high-impact, data-rich environment that moves at pace. You will sit within the Supply Chain Technology function, embedded in a strategic projects team that covers new use cases ...

Data Scientist - 60k - 80k - Leeds (Hybrid) - AI / FinTech SaaS

Hiring Organisation
Opus Recruitment Solutions Ltd
Location
Leeds, West Yorkshire, England, United Kingdom
Employment Type
Full-Time
Salary
£60,000 - £80,000 per annum
Data Scientist - 60k - 80k - Leeds (Hybrid) - AI/FinTech SaaS Python | Data Science | A/B Testing | Commercial Analytics | Azure | Gen AI | Partnerships | SaaS | FinTech | Do you want to work with a business that partners with 400+ companies across 75+ countries, using AI to drive revenue … easy to work with matters just as much as technical ability An opportunity to join a fast-growing AI SaaS scale-up as a Data Scientist acting as the analytical lead for partner performance and commercial strategy.You’ll work together with Partnership Managers and external stakeholders, translating data ...

Data Scientist - Generative AI

Hiring Organisation
Synechron
Location
Sheffield, Yorkshire, United Kingdom
Employment Type
Any
Salary
GBP Annual
services, and insurance. We thrive on engineering excellence, collaboration, and a passion for cutting-edge technologies. About role: This role is to provide deep data science expertise across Generative AI, AI-enabled tools , and applied analytics , helping to build stronger evidence base for how AI capabilities are adopted, governed … delivery leaders, enablement teams, and engineering communities to improve adoption quality, reinforce strong practices, and guide future AI-tool strategy. This role will connect data science, AI-tool evaluation, engineering metrics , and GenAI adoption strategy. The output should enable better training, education, coaching, and knowledge transfer across the organisation ...