Data Scientist and Engineer
UK Visa Sponsorship Analytics
Analytics are greyed out due to low classification confidence (49.0%).
Occupation Type
IT business analysts, architects and systems designers
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£54,900
(£28.15 per hour)
Occupation rate applies
Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.
Disclaimer: Hunt UK Visa Sponsors aggregates job listings from publicly available sources, such as search engines, to assist with your job hunting. We do not claim affiliation with GAIL's. For the most up-to-date job details, please visit the official website by clicking "Apply Now."
Description
ABOUT THE ROLE
- Develop advanced analytics / data science solutions to solve problems focused on forecasting, new site selection, ordering, production, rota scheduling, logistics and online services optimisation.
- Extend functionality of our Bread GPT service (Large Language Model insight synthesis engine).
- Data engineering: build and develop ETL processes in Microsoft Fabric to support reporting, insight and applied AI models
- A hands-on role working with other staff and partners.
- Utilize data science and analytics to enhance application functionality and performance. Work with the data team to create and deploy machine learning models and AI-driven solutions for real-world applications.
- Ensure the continuous development and delivery of solutions.
- Monitor and evolve solutions.
- Mentor and guide junior team members, fostering a culture of continuous learning and improvement.
- Develop effective working relationships with colleagues within and beyond the Technology team to ensure that a consistent, high-quality service is delivered.
ARE YOU THE MISSING INGREDIENT
- Ideally a bachelor's degree in Computer Science, Analytics, Engineering, or a related field.
- Minimum of 3+ years of experience within excellent knowledge of Python and preferably R.
- Knowledge of ETL processes – ideally basic understanding of Microsoft ETL (Data Factory / Synapse / Fabric)
- Knowledge of databases (SQL & NoSQL) and API development/integration.
- Understanding of software development and application design.
- Proven experience in building data science solutions and developing customised LLM applications.
- Strong interest in technology.
- Excellent problem-solving skills and attention to detail.
- Knowledge of effective business analysis - ability to gather, document, and analyze business requirements effectively and the experience creating user stories, process flows, and wireframes.
- Ability to work effectively in a fast-paced, dynamic environment.
- Strong communication and collaboration skills.
- “Can do” outlook and approach to work.
- Demonstrate the ability to think around issues and look at the bigger picture to provide solutions through a variety of problem-solving techniques.
Preferred Qualifications:
- Experience in manufacturing, retail or hospitality industries.
- Knowledge of programming languages and frameworks.
BENEFITS BAKED IN
- Free food and drink when working
- 50% off food and drink when not working
- 33 days holiday
- Pension Scheme
- Discounts and Savings from high-street retailers and restaurants
- 24 hour GP service
- Cycle to work scheme
- Twice yearly pay review
- Development programmes for you to RISE with GAIL’s