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- Tasks: Explore data, formulate hypotheses, and provide actionable insights using advanced analytics.
- Company: Market-leading insurance and legal services provider in Bristol.
- Benefits: Flexible working options, 26 days holiday, and wellbeing programmes.
- Why this job: Join a dynamic team and make impactful decisions with data-driven insights.
- Qualifications: Skills in machine learning, Python, R, and SQL Server required.
- Other info: Great opportunity for career growth in a supportive environment.
The predicted salary is between 30000 - 50000 £ per year.
A market-leading insurance and legal services provider is looking for a Data Scientist to join their Information Management Team in Bristol. The successful candidate will leverage best practices to explore data, formulate hypotheses, and provide actionable insights to stakeholders.
Skills in advanced analytics, machine learning, and proficiency in Python, R, and SQL Server are essential.
This role offers flexible working options and a comprehensive benefits package including 26 days of holiday and wellbeing programmes.
Data Scientist - AI, Predictive Analytics & Insights in Bristol employer: Das Group
Contact Detail:
Das Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - AI, Predictive Analytics & Insights in Bristol
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the industry on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your projects in Python, R, and SQL Server. We want to demonstrate our expertise in advanced analytics and machine learning during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms. We need to be ready to discuss how we can leverage data to provide actionable insights to stakeholders.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight how we fit the role perfectly.
We think you need these skills to ace Data Scientist - AI, Predictive Analytics & Insights in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your skills in advanced analytics, machine learning, and your proficiency in Python, R, and SQL Server. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can provide actionable insights to our stakeholders. Let us know what excites you about working with us at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've explored data and formulated hypotheses in past roles. We love seeing candidates who can think critically and come up with innovative solutions, so share those experiences with us!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. 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 Das Group
✨Know Your Data Tools
Make sure you brush up on your skills in Python, R, and SQL Server before the interview. Be ready to discuss specific projects where you've used these tools to derive insights or solve problems. This will show that you’re not just familiar with the tech, but that you can apply it effectively.
✨Prepare for Hypothesis Formulation
Think about how you would approach formulating hypotheses based on data. Be prepared to walk through your thought process during the interview. This could involve discussing a past project where you identified a problem, formulated a hypothesis, and then tested it using data analysis.
✨Showcase Your Analytical Mindset
During the interview, highlight your ability to explore data and provide actionable insights. Use examples from your previous work to illustrate how your analytical mindset has led to successful outcomes. This will demonstrate your value to the Information Management Team.
✨Ask Insightful Questions
Don’t forget to prepare some thoughtful questions about the company’s data strategy and how they leverage analytics in their decision-making. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
