Data Scientist & Engineer
| Posting date: | 20 January 2026 |
|---|---|
| Hours: | Full time |
| Closing date: | 19 February 2026 |
| Location: | London, NW1 8QH |
| Company: | inploi |
| Job type: | Permanent |
| Job reference: | 75779787 |
Summary
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.
- Ability to prioritise issues according to business needs, and to escalate when necessary/appropriate, and problem solve
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