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For Companies At a Glance
- Tasks: Develop advanced analytics and data science solutions to tackle real-world challenges.
- Company: Join a forward-thinking company focused on innovation and collaboration.
- Benefits: Enjoy free food, generous holiday, and discounts at high-street retailers.
- Why this job: Make an impact with cutting-edge technology while mentoring others in a dynamic environment.
- Qualifications: 3+ years in data science, strong Python skills, and a passion for problem-solving.
- Other info: Opportunities for career growth and continuous learning await you!
The predicted salary is between 36000 - 60000 £ per year.
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.
- 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.
Required Qualifications
- Ideally a bachelor’s degree in Computer Science, Analytics, Engineering, or a related field.
- Minimum of 3+ years of experience with 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
- 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.
Data Scientist & Engineer in City of Westminster employer: Gail's Limited
Contact Detail:
Gail's Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist & Engineer in City of Westminster
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data science game. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Don’t just tell us what you can do; show us! Create a portfolio of your projects, especially those involving Python, R, or ETL processes. Share your work on platforms like GitHub to demonstrate your expertise and passion for data science.
✨Ace the Interview
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly and confidently, as we love seeing how you tackle real-world problems. Remember, it’s not just about the right answer but how you get there!
✨Apply Through Our Website
We want to hear from you directly! Apply through our website to ensure your application gets the attention it deserves. Plus, it shows you’re genuinely interested in joining our team at StudySmarter!
We think you need these skills to ace Data Scientist & Engineer in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Scientist & Engineer. Highlight your experience with Python, ETL processes, and any relevant projects that showcase your skills in data science and analytics.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and how your background aligns with our needs. Mention specific projects or experiences that relate to forecasting, logistics, or AI-driven solutions.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. We love candidates who can think outside the box and provide innovative solutions, so don't hold back!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Gail's Limited
✨Know Your Data Science Stuff
Make sure you brush up on your Python and R skills, as well as your understanding of ETL processes. Be ready to discuss specific projects where you've built data science solutions or customised LLM applications. This will show that you not only know the theory but can apply it in real-world scenarios.
✨Show Off Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Think about times when you had to analyse business requirements or create user stories. Being able to articulate your thought process will demonstrate your analytical abilities and 'can do' attitude.
✨Get Familiar with Their Tech Stack
Research Microsoft Fabric and any other tools mentioned in the job description. If you have experience with SQL, NoSQL, or API development, be ready to discuss how you've used these technologies in past projects. This shows you're proactive and genuinely interested in the role.
✨Be a Team Player
Since this role involves mentoring junior team members and collaborating with others, think of examples that highlight your teamwork and communication skills. Discuss how you've built effective working relationships in the past and how you can contribute to a culture of continuous learning and improvement.
