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For Companies At a Glance
- Tasks: Transform data into actionable insights and shape smarter collections strategies.
- Company: Dynamic Credit Risk function focused on innovative analytics.
- Benefits: Hybrid working, competitive salary up to £54,000, and exciting project opportunities.
- Why this job: Make a real impact in credit risk analytics and improve customer outcomes.
- Qualifications: Proficient in SQL and Python, with experience in credit risk analytics.
- Other info: Join a collaborative team and enjoy career growth in a flexible environment.
The predicted salary is between 43200 - 57600 £ per year.
Are you ready to turn data into action and make a tangible impact? We’re looking for a skilled and driven Revenue & Debt Data Scientist to join a dynamic Credit Risk function. This is a unique opportunity to work at the forefront of credit risk analytics, helping shape smarter collections strategies, reduce bad debt, and improve outcomes for customers.
What you’ll do:
- Conduct root cause analysis of debt accumulation trends.
- Build and refine predictive models for credit risk and debt recovery.
- Develop and maintain SQL-based reporting solutions to drive actionable insights.
- Collaborate across teams to align data governance, infrastructure, and reporting needs.
- Embed analytics into strategic decision-making and champion data-driven thinking.
What we’re looking for:
- Proficient in SQL for querying, joining, and transforming large datasets.
- Experienced in data cleansing, validation, and predictive modelling.
- Strong in Python for statistical analysis and able to communicate insights to non-technical stakeholders.
- Proven experience in credit risk analytics, debt management, or financial modelling.
- Comfortable working cross-functionally and translating data into actionable strategy.
- Familiarity with cloud platforms such as Azure, AWS, or Google Cloud.
- Degree (or equivalent) in Data Science, Mathematics, Statistics, or a related field.
Desirable:
- Experience migrating from traditional databases to data lake architectures.
- Background in Financial Services or other regulated industries.
- Exposure to SAP/DM9 environments.
- Knowledge of machine learning techniques relevant to credit risk.
What we offer:
- Hybrid working flexibility (South West).
- Competitive salary of up to £54,000 per annum + benefits.
- Opportunities to work on high-impact projects that shape strategy and operations.
If you’re passionate about using data to drive decisions and make a difference, we’d love to hear from you.
Data Scientist in Sharlston employer: Cactus Search
Contact Detail:
Cactus Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Sharlston
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, predictive models, and any SQL or Python work you've done. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, especially when it comes to translating complex data insights into actionable strategies.
✨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 Data Scientist in Sharlston
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience in SQL, Python, and credit risk analytics. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and how you can make a tangible impact in our Credit Risk function. Let us know why you’re the perfect fit for this role.
Showcase Relevant Projects: If you've worked on projects involving predictive modelling or data cleansing, don’t hold back! Include these in your application to demonstrate your hands-on experience and problem-solving skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Cactus Search
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving data analysis and predictive modelling. Be ready to discuss specific examples where you used SQL and Python to derive insights, as this will showcase your technical skills and problem-solving abilities.
✨Brush Up on Credit Risk Concepts
Make sure you're familiar with key concepts in credit risk analytics and debt management. Prepare to explain how you've applied these concepts in previous roles, as this will demonstrate your understanding of the industry and your ability to contribute to their goals.
✨Prepare for Cross-Functional Collaboration Questions
Since the role involves working across teams, think of examples where you've successfully collaborated with non-technical stakeholders. Be ready to share how you translated complex data findings into actionable strategies that were easily understood by others.
✨Show Enthusiasm for Data-Driven Decision Making
Express your passion for using data to drive decisions during the interview. Share your thoughts on how analytics can shape smarter collections strategies and improve customer outcomes, as this aligns perfectly with what they're looking for in a candidate.
