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- Tasks: Develop advanced analytics solutions and enhance application functionality using data science.
- Company: Join GAIL's innovative Support Office in London, focused on cutting-edge technology.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Why this job: Make a real impact by solving complex problems with data-driven solutions.
- Qualifications: Bachelor's degree in a related field and 3+ years of experience in Python.
- Other info: Mentorship opportunities and a culture of continuous learning await you.
The predicted salary is between 36000 - 60000 £ per year.
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 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).
Data Scientist & Engineer NEW GAIL\'s Support Office Competitive London Support Team employer: GAIL's Bread
Contact Detail:
GAIL's Bread Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist & Engineer NEW GAIL\'s Support Office Competitive London Support Team
✨Tip Number 1
Network like a pro! Reach out to current employees at GAIL or similar companies on LinkedIn. A friendly chat can give us insider info and might just get our foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those involving Python and ETL processes. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data scientists and engineers. We can even do mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how we fit the role perfectly.
We think you need these skills to ace Data Scientist & Engineer NEW GAIL\'s Support Office Competitive London Support Team
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role. Highlight your experience with data science, analytics, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific examples of your work, especially those involving Python, R, or ETL processes. We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're excited about the role and how you can contribute to our team. We appreciate a personal touch that shows your enthusiasm for the position.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at GAIL's Bread
✨Know Your Data Science Stuff
Make sure you brush up on your data science and engineering skills, especially in Python and R. Be ready to discuss your experience with ETL processes and how you've applied machine learning models in real-world scenarios. This role is all about practical application, so be prepared to share specific examples.
✨Showcase Your Problem-Solving Skills
Since the role involves solving complex problems like forecasting and logistics optimisation, think of a few challenges you've tackled in the past. Prepare to explain your thought process and the impact of your solutions. This will demonstrate your analytical thinking and ability to deliver results.
✨Get Familiar with Microsoft Fabric
If you haven't already, take some time to learn about Microsoft Fabric and its ETL capabilities. Being able to discuss how you've used or plan to use this tool will show that you're proactive and ready to hit the ground running. Plus, it’s a great way to connect your skills with their needs.
✨Emphasise Team Collaboration
This role requires working closely with other team members and mentoring juniors. Be ready to talk about your experiences in teamwork and how you've fostered a collaborative environment. Highlight any instances where you've guided others or contributed to a culture of continuous learning.
