Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design forecasting models for credit performance and collaborate with data scientists.
- Company: High-growth analytics firm with a focus on innovation.
- Benefits: Competitive compensation, robust benefits package, and equity participation.
- Why this job: Make a real impact in credit forecasting while working in a hybrid environment.
- Qualifications: Strong programming skills in Python and an MSc or PhD in a quantitative field.
- Other info: Exciting opportunity for career growth in a dynamic team.
The predicted salary is between 36000 - 60000 £ per year.
A high-growth analytics firm seeks a Data Specialist to design forecasting models for credit performance and collaborate with data scientists. The role involves developing correlation frameworks and simulation engines, requiring strong programming skills in Python and an MSc or PhD in a quantitative field.
This position offers competitive compensation, a robust benefits package, and meaningful equity participation, with hybrid work arrangements in London.
Research Data Scientist - Credit Forecasting (Hybrid, London) in England employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Data Scientist - Credit Forecasting (Hybrid, London) in England
✨Tip Number 1
Network like a pro! Reach out to current employees at the firm or similar companies on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your forecasting models or any relevant projects. We want to demonstrate our programming prowess in Python and how we tackle real-world data challenges.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your coding skills and understanding correlation frameworks. We can even do mock interviews together to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight our quantitative background and passion for credit forecasting.
We think you need these skills to ace Research Data Scientist - Credit Forecasting (Hybrid, London) in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming skills in Python and any relevant experience in developing forecasting models. We want to see how your background aligns with the role, so don’t be shy about showcasing your MSc or PhD in a quantitative field!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your skills can contribute to our team. We love seeing genuine enthusiasm for credit forecasting and analytics.
Showcase Your Projects: If you've worked on any projects related to correlation frameworks or simulation engines, make sure to mention them! We appreciate candidates who can demonstrate their hands-on experience and problem-solving abilities.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Intellect Group
✨Know Your Models
Make sure you’re well-versed in forecasting models and correlation frameworks. Brush up on your knowledge of how these models work, as you might be asked to explain your approach or even solve a problem on the spot.
✨Show Off Your Python Skills
Since strong programming skills in Python are essential for this role, be prepared to discuss your experience with it. Bring examples of projects where you've used Python for data analysis or model development, and don’t shy away from discussing any challenges you faced.
✨Collaboration is Key
This role involves working closely with other data scientists, so be ready to talk about your teamwork experiences. Share specific examples of how you’ve collaborated on projects, resolved conflicts, or contributed to a team’s success.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to credit forecasting and their data science practices. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
