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- Tasks: Lead a team of data scientists to create advanced analytics and predictive models.
- Company: Join Primark, a company that values innovation and teamwork.
- Benefits: Enjoy healthcare, pension, bonuses, and 27 days of leave.
- Why this job: Make a real impact with your ideas in a dynamic environment.
- Qualifications: Strong skills in Databricks, Apache Spark, SQL, and team leadership.
- Other info: Great opportunities for personal and professional growth.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking a Data Science & Measurement Lead to manage and grow a team of data scientists responsible for building advanced analytics, predictive models, and measurement solutions across Primark. This is a hands-on role requiring strong technical depth in Databricks, Apache Spark, and SQL.
People are at the heart of what we do here, so it’s essential we provide you with the right environment to perform at your very best. Let’s talk lifestyle:
- Healthcare
- Pension
- Potential bonus
- 27 days of leave
Data Science & Measurement Lead in Reading employer: Primark Stores Limited
Contact Detail:
Primark Stores Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science & Measurement Lead in Reading
✨Tip Number 1
Network like a pro! Reach out to current employees at Primark on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those involving Databricks, Apache Spark, and SQL. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data science roles. Mock interviews with friends or using online platforms can boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the team at Primark.
We think you need these skills to ace Data Science & Measurement Lead in Reading
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data science shine through! We want to see how your ideas can evolve our ways of working, so share any projects or experiences that highlight your love for analytics and predictive modelling.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Data Science & Measurement Lead role. Highlight your experience with Databricks, Apache Spark, and SQL, and explain how these skills will help us build advanced analytics solutions at Primark.
Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your key achievements and skills related to the role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Primark Stores Limited
✨Know Your Tech Inside Out
Make sure you brush up on your skills in Databricks, Apache Spark, and SQL. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
Since this role involves managing a team, be prepared to share examples of how you've successfully led teams in the past. Highlight your approach to mentoring and developing talent within your team.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle real-world data challenges. Think about scenarios involving predictive modelling or advanced analytics and be ready to explain your thought process and decision-making.
✨Align with Company Values
Research Primark’s values and culture. Be ready to discuss how your personal values align with theirs and how you can contribute to their mission of evolving new ways of working.