At a Glance
- Tasks: Lead quantitative analysis projects and utilise data mining to enhance employee data strategies.
- Company: Join Workday, a leader in commercial data science with a focus on innovation.
- Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with diverse teams and exciting career advancement potential.
- Why this job: Make a real impact by solving complex challenges with data-driven insights.
- Qualifications: 3+ years of experience, proficiency in Python, SQL, R, and a technical degree.
The predicted salary is between 50000 - 60000 £ per year.
Workday is seeking a Product Data Scientist to join the Commercial Data Science team. The role involves leading quantitative analysis projects, utilizing statistical analysis and data mining to help customers maximize the strategic impact of their employee data.
The ideal candidate will have 3+ years of experience in a commercial environment, proficiency in Python, SQL, and R, and possess a technical degree. This position will require collaboration across multiple teams to solve complex customer challenges.
Product Data Scientist - Engagement Analytics in London employer: Workday
At Workday, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment that encourages creativity and problem-solving. Located in a vibrant area, our team enjoys a dynamic workplace that values diversity and inclusion, making it an ideal setting for those looking to make a meaningful impact in the field of data science.
StudySmarter Expert Advice🤫
We think this is how you could land Product Data Scientist - Engagement Analytics in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Workday. A friendly chat can open doors and give you insights that might just set you apart from the crowd.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Python, SQL, and R. This is your chance to demonstrate how you can turn data into actionable insights.
✨Tip Number 3
Prepare for the interview by brushing up on your statistical analysis techniques. Be ready to discuss how you've tackled complex problems in the past and how you can apply those skills to help Workday's customers.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Product Data Scientist - Engagement Analytics in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in quantitative analysis and data mining. We want to see how your skills in Python, SQL, and R can 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 Product Data Scientist role. Share specific examples of how you've tackled complex challenges in previous roles and how you can bring that expertise to our team.
Showcase Collaboration Skills:Since this role involves working with multiple teams, highlight any past experiences where you’ve successfully collaborated with others. We love seeing how you can work together to solve problems and drive results!
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 – just follow the prompts!
How to prepare for a job interview at Workday
✨Know Your Data Tools
Make sure you brush up on your Python, SQL, and R skills before the interview. Be ready to discuss specific projects where you've used these tools to drive insights or solve problems. This will show that you’re not just familiar with the tech but can apply it effectively.
✨Quantitative Analysis Examples
Prepare a couple of solid examples of quantitative analysis projects you've led. Focus on the impact your work had on decision-making or strategy. This will demonstrate your ability to translate data into actionable insights, which is key for the role.
✨Collaboration is Key
Since this role involves working across multiple teams, think of instances where you've successfully collaborated with others. Be ready to share how you navigated challenges and contributed to team success, as this will highlight your teamwork skills.
✨Understand the Business Impact
Research Workday’s products and how they leverage employee data. Be prepared to discuss how your analytical skills can help customers maximise their strategic impact. Showing that you understand the business side of data science will set you apart from other candidates.
