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- Tasks: Lead complex data science projects and deliver impactful insights for Tesco UK.
- Company: Dunnhumby, a leader in data science with an inclusive culture.
- Benefits: Flexible working hours and a comprehensive rewards package.
- Other info: Great opportunity for career growth in a dynamic team.
- Why this job: Make a real impact using your data science skills in a collaborative environment.
- Qualifications: Strong experience in Python, SQL, and technical project leadership.
The predicted salary is between 60000 - 80000 £ per year.
dunnhumby is seeking a Senior Applied Data Scientist in Greater London to lead complex data science projects. The role involves collaborating with Tesco UK, utilizing expertise in Python and SQL to deliver impactful insights.
Candidates should have strong experience applying data science techniques to business challenges and a background in technical project leadership. A degree in a relevant field is advantageous.
The position offers flexible working hours and a comprehensive rewards package, reflecting the company's inclusive culture.
Senior Applied Data Scientist: Flexible ML & A/B Testing employer: dunnhumby
Contact Detail:
dunnhumby Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied Data Scientist: Flexible ML & A/B Testing
✨Tip Number 1
Network like a pro! Reach out to current or former employees at dunnhumby on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those involving Python and SQL. This will help us demonstrate our expertise during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data scientists, especially around A/B testing and ML techniques. We want to be ready to impress!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CVs and cover letters to match what dunnhumby is looking for.
We think you need these skills to ace Senior Applied Data Scientist: Flexible ML & A/B Testing
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and SQL in your application. We want to see how you've used these skills to tackle real business challenges, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We love seeing how your background aligns with the Senior Applied Data Scientist position, especially your project leadership experience.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
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 this exciting opportunity!
How to prepare for a job interview at dunnhumby
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've applied data science techniques to solve business challenges, as this will show your practical experience.
✨Showcase Your Leadership Skills
Since the role involves technical project leadership, prepare examples of how you've led data science projects in the past. Highlight your ability to collaborate with teams and stakeholders, especially if you've worked with big clients like Tesco UK.
✨Understand A/B Testing Inside Out
As the position focuses on flexible ML and A/B testing, be prepared to explain your approach to these methodologies. Discuss any relevant experiences where you've implemented A/B tests and the insights gained from them.
✨Embrace the Company Culture
Dunnhumby values an inclusive culture, so do a bit of research on their values and mission. Be ready to share how your personal values align with theirs, and how you can contribute to their positive work environment.