Full Stack Data Scientist / Engineer

Responsibilities

• 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
• 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 analyse 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
• Enhanced Maternity package
• Development programmes for you to RISE with GAIL’s Stats for this job Salary comparison: This job National average IT Jobs average London average Salaries The number of jobs in each salary range for all: Receive