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- Tasks: Lead data analyses and machine learning projects while mentoring your peers.
- Company: A forward-thinking mobility solutions provider in Greater London.
- Benefits: Hybrid work, competitive benefits, generous leave, and a focus on inclusivity.
- Why this job: Join a diverse team and make an impact in the mobility sector.
- Qualifications: 2+ years of experience with SQL and Python expertise required.
- Other info: Great opportunities for personal growth in a supportive environment.
The predicted salary is between 43200 - 72000 £ per year.
A mobility solutions provider in Greater London is seeking a Senior Business Analyst to join their Analytics and Insights team. The role involves conducting complex data analyses, leading machine learning projects, and mentoring peers.
Candidates should possess at least 2 years of experience in relevant roles and expertise in SQL and Python.
The position offers hybrid work, competitive benefits including generous leave, and a diverse working environment encouraging inclusivity and personal growth.
Senior Analytics & ML Lead (Hybrid) employer: Gett
Contact Detail:
Gett Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics & ML Lead (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your data analyses and machine learning projects. This will help you stand out and demonstrate your expertise in SQL and Python.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by doing mock sessions with friends or using online platforms. Focus on explaining your thought process during complex analyses and how you mentor others.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Analytics & ML Lead (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis and machine learning. We want to see how your skills in SQL and Python shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Senior Analytics & ML Lead role. Share your passion for data and how you’ve mentored others in the past – we love to see that leadership spirit!
Showcase Your Projects: If you've worked on any cool analytics or machine learning projects, make sure to mention them! We’re keen to see real examples of your work and how you’ve tackled complex data challenges.
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 from our team!
How to prepare for a job interview at Gett
✨Know Your Data Inside Out
Make sure you’re well-versed in SQL and Python, as these are key skills for the role. Brush up on your data analysis techniques and be ready to discuss specific projects where you've successfully applied these skills.
✨Showcase Your Leadership Skills
Since the role involves mentoring peers, think of examples where you've led a project or guided a team. Be prepared to share how you approach mentoring and what strategies you use to help others grow.
✨Prepare for Technical Questions
Expect to face technical questions related to machine learning and analytics. Review common algorithms and their applications, and be ready to explain your thought process when solving complex problems.
✨Emphasise Inclusivity and Growth
The company values inclusivity and personal growth, so be sure to express your commitment to these principles. Share experiences that highlight your ability to work in diverse teams and how you’ve contributed to a positive work environment.
