At a Glance
- Tasks: Shape economic responses and influence decisions using advanced data techniques.
- Company: Major financial institution in Edinburgh with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement opportunities.
- Why this job: Make a real impact in banking risk and forecasting while collaborating with key stakeholders.
- Qualifications: Strong quantitative skills and proficiency in Python and SQL required.
The predicted salary is between 36000 - 60000 £ per year.
A major financial institution in Edinburgh is looking for a Senior Data Scientist to shape responses to economic scenarios and influence critical decisions. The role involves collaboration with business stakeholders to deliver insights, utilizing advanced statistical and machine learning techniques.
Candidates should have a strong quantitative background and proficiency in Python and SQL. This position offers a hybrid work environment, with at least two days in the Edinburgh office.
Senior Data Scientist - Banking Risk & Forecasting (Hybrid) in Edinburgh employer: NatWest Group
As a leading financial institution in Edinburgh, we pride ourselves on fostering a dynamic work culture that values innovation and collaboration. Our employees benefit from a hybrid work model, competitive remuneration, and extensive professional development opportunities, ensuring that you can grow your career while making impactful contributions to the banking sector. Join us to be part of a team that not only drives economic insights but also prioritises employee well-being and engagement.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Banking Risk & Forecasting (Hybrid) in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to current employees at the financial institution on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for those tricky interview questions! Brush up on your statistical knowledge and machine learning techniques. We want to show them we’re not just good with Python and SQL, but that we can apply our skills to real-world banking scenarios.
✨Tip Number 3
Showcase your projects! If you’ve worked on relevant data science projects, make sure to discuss them during interviews. We want to highlight how our experience aligns with their needs in risk and forecasting.
✨Tip Number 4
Don’t forget to follow up! After interviews, send a quick thank-you email. It’s a great way to reiterate our interest in the role and keep us fresh in their minds. Plus, it shows we’re proactive!
We think you need these skills to ace Senior Data Scientist - Banking Risk & Forecasting (Hybrid) in Edinburgh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data science, especially in banking risk and forecasting. We want to see how your skills in Python and SQL can shine through!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of how you've used advanced statistical techniques to influence decisions in previous roles.
Showcase Collaboration Skills:Since this role involves working closely with business stakeholders, let us know about your past experiences collaborating with teams. We love to see how you can bridge the gap between data and business insights!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at NatWest Group
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific statistical methods and machine learning techniques you've used in past projects. Be prepared to explain how these methods can apply to banking risk and forecasting.
✨Master Python and SQL
Since proficiency in Python and SQL is crucial for this role, make sure you can demonstrate your coding skills. Consider preparing a small project or example that showcases your ability to manipulate data and derive insights using these languages.
✨Understand the Business Context
Familiarise yourself with the financial institution's current economic scenarios and challenges. This will help you tailor your responses and show how your insights can directly influence critical decisions within the company.
✨Prepare for Collaboration Questions
As the role involves working closely with business stakeholders, think of examples where you've successfully collaborated in the past. Be ready to discuss how you communicate complex data insights to non-technical audiences and how you handle differing opinions.
