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- Tasks: Develop data pipelines and create Power BI dashboards for pricing decisions.
- Company: Leading global insurer with a focus on innovation and analytics.
- Benefits: Flexible hybrid work, comprehensive benefits, pension scheme, and private medical insurance.
- Why this job: Join a dynamic team and make impactful pricing decisions using your analytical skills.
- Qualifications: 2-3 years of experience in data science with proficiency in Python or R.
- Other info: Exciting opportunity for growth in a supportive and flexible work environment.
The predicted salary is between 30000 - 50000 £ per year.
A leading global insurer is seeking a talented Data Scientist to join their Pricing Analytics team. In this hybrid role, you'll develop data pipelines, enhance data quality, and create Power BI dashboards to drive pricing decisions.
Candidates should bring strong analytical skills, ideally with 2-3 years of experience and proficiency in Python or R.
This position offers flexibility and a comprehensive benefits package, including a pension scheme and private medical insurance.
Pricing Analytics Data Scientist (Hybrid/Remote) in Fareham employer: Zurich Insurance
Contact Detail:
Zurich Insurance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Analytics Data Scientist (Hybrid/Remote) in Fareham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in pricing analytics. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, dashboards, or any relevant projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python or R skills. Be ready to discuss how you've used these tools in past projects, especially in relation to data quality and analytics.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Pricing Analytics Data Scientist (Hybrid/Remote) in Fareham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analytics and any relevant projects you've worked on. We want to see how your skills in Python or R can contribute to our Pricing Analytics team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about pricing analytics and how you can help drive decisions with your analytical skills. Keep it engaging and personal.
Showcase Your Projects: If you've developed data pipelines or created dashboards before, don’t hold back! Share specific examples of your work that demonstrate your ability to enhance data quality and support pricing strategies.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Zurich Insurance
✨Know Your Data Tools
Make sure you brush up on your Python or R skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in developing data pipelines or enhancing data quality.
✨Showcase Your Analytical Skills
Prepare examples that highlight your analytical thinking. Think of specific instances where your insights led to better pricing decisions or improved data processes. This will demonstrate your value to the Pricing Analytics team.
✨Familiarise Yourself with Power BI
Since creating dashboards is a key part of the role, it’s a good idea to get comfortable with Power BI. If you have any previous experience, be ready to share how you’ve used it to visualise data and support decision-making.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team’s current projects or challenges they face in pricing analytics. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
