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- Tasks: Design and deploy machine learning solutions while analysing data for valuable insights.
- Company: Leading financial services group in the UK with a focus on innovation.
- Benefits: Flexible working arrangements, performance bonuses, and pension contributions.
- Why this job: Join a dynamic team and make impactful decisions through data-driven insights.
- Qualifications: Experience in Data Science with strong skills in Python or R.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 28800 - 48000 £ per year.
A leading financial services group in the UK is seeking a Data Scientist. The role involves designing and deploying machine learning solutions, analyzing data for insights, and collaborating across teams to enhance decision-making.
Candidates should have experience in Data Science with strong skills in Python or R.
This position offers opportunities for flexible working arrangements and benefits such as performance bonuses and pension contributions.
Data Scientist: AI & Pricing Analytics in London employer: Legal & General
Contact Detail:
Legal & General Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist: AI & Pricing Analytics in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and data analyses. This is your chance to demonstrate your expertise in Python or R and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as collaboration is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to stay updated on new roles that match your skills.
We think you need these skills to ace Data Scientist: AI & Pricing Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Science, especially with Python or R. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and pricing analytics. We love seeing candidates who can articulate their interest in the field and how they can contribute to our team.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've designed and deployed machine learning solutions. We’re keen on understanding your thought process and how you tackle challenges in data analysis.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Legal & General
✨Know Your Data Science Fundamentals
Brush up on your core data science concepts, especially around machine learning algorithms and their applications. Be ready to discuss how you've used Python or R in past projects, as this will show your practical experience.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving skills. Practice coding challenges in Python or R, and be prepared to explain your thought process clearly. This will demonstrate your analytical abilities and how you approach complex problems.
✨Showcase Your Collaboration Skills
Since the role involves working across teams, think of examples where you've successfully collaborated with others. Highlight how you communicated insights from your analyses to non-technical stakeholders, as this will illustrate your ability to enhance decision-making.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the company's goals and how the data science team contributes to them. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values.
