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- Tasks: Apply advanced analytics and develop machine learning models to solve complex business problems.
- Company: Leading motoring organisation in the UK with a focus on innovation.
- Benefits: Generous annual leave, pension scheme, and discounts for family and friends.
- Why this job: Make a real impact by delivering insights that drive mobility solutions.
- Qualifications: Proficiency in Python and SQL, with a numerate degree or equivalent experience.
- Other info: Hybrid work model with opportunities for professional growth.
The predicted salary is between 45000 - 55000 £ per year.
A leading motoring organization in the UK seeks a Data Scientist to apply advanced analytics and develop machine learning models. This role involves collaborating with stakeholders to solve complex business problems and deliver insights.
The ideal candidate will have proficiency in Python and SQL, along with a numerate degree in analytics or equivalent experience.
Additional benefits include:
- a generous annual leave policy
- a pension scheme
- discounts on products for family and friends
Data Scientist — Insights & ML for Mobility (Hybrid) employer: Automobile Association
Contact Detail:
Automobile Association Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist — Insights & ML for Mobility (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data science interview questions and be ready to discuss how you've tackled complex business problems in the past.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Data Scientist — Insights & ML for Mobility (Hybrid)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in Python and SQL right from the get-go. We want to see how your skills can help us tackle those complex business problems!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect how your experience aligns with the role. We love seeing candidates who understand what we do and how they fit into our mission.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your insights shine through without unnecessary fluff.
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 don’t miss out on any important updates!
How to prepare for a job interview at Automobile Association
✨Know Your Tech
Make sure you're well-versed in Python and SQL, as these are crucial for the role. Brush up on your coding skills and be ready to discuss specific projects where you've applied these technologies.
✨Understand the Business
Research the motoring organisation and its challenges. Think about how your data science skills can help solve their problems. This will show that you’re not just a techie but also understand the bigger picture.
✨Prepare for Collaboration
Since the role involves working with stakeholders, be ready to discuss your experience in teamwork. Prepare examples of how you've successfully collaborated with others to deliver insights or solve complex issues.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and future projects. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.