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- Tasks: Design and build machine learning models for innovative credit solutions.
- Company: Join a VC-backed fintech company reshaping credit scoring in Newcastle.
- Benefits: Competitive pay, 25 days holiday, bonuses, and learning opportunities.
- Other info: Great career progression and a collaborative team culture.
- Why this job: Make a real impact in a fast-paced environment with cutting-edge technology.
- Qualifications: 5+ years as a Data Scientist with machine learning expertise.
The predicted salary is between 36000 - 60000 £ per year.
Company Description: Noggin HQ is a VC-backed financial technology company based in Newcastle upon Tyne. Our mission is to build state of the art models that reshape credit scoring in a fairer and smarter way.
Role Description: To succeed in this role, you must enjoy a fast-paced, high-execution culture, and maintain exceptional standards at a critical stage. In particular, you will:
- Design, build, and maintain machine learning models for use in credit decisioning.
- Collaborate with software engineers in deploying the models into production environments.
- Own model lifecycle management and model performance monitoring that is delivered to the board.
- Use Open Banking transaction data to develop innovative credit risk solutions, fraud risk solutions and affordability solutions for our customers (lenders).
- Collaborate closely with the Founders, Senior Leadership Team, and Technical Team, to shape the product roadmap.
- Be a self-starter who can take real ownership and responsibility for their work and objectives, be highly organised and have excellent communication & time management skills.
Tech stack:
- AWS/GCP
- Python - Preferred
- Docker Preferred or Kubernetes
- SQL/PostgreSQL
- Git
- Nginx
- Flask or FastAPI
- CI/CD, API development & Management, NLP, Machine Learning
Experience and skills:
- 5+ years of commercial experience as a Data Scientist building machine learning models.
- Relevant degree, e.g., Computer Science, Machine Learning, Operations Research.
- Previous commercial experience with Open Banking data and building consumer credit risk scorecards preferred.
- Domain relevant experience, e.g., have worked at an FCA/PRA-regulated firm, including banks, lenders, financial data companies, credit risk companies, Credit Reference Agencies.
- Comfortable with AWS and Cloud Infrastructure.
- Understand ISO 27001 requirements.
Benefits: There are significant opportunities for progression and pay increases throughout the year, depending on performance, contribution and impact. Learning and development opportunities, where relevance is evidenced, can be paid for by the company. 25 days holiday + bank holidays. Company-wide bonuses should commercial targets be hit.
How we work: We have an office based in Newcastle upon Tyne, and as such, thoroughly encourage candidates to apply who live in the North East.
Senior Data Scientist employer: Noggin HQ
Contact Detail:
Noggin HQ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at Noggin HQ on LinkedIn or attend local tech meetups. Building connections can give us insider info and might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to credit scoring or Open Banking. This will help us see your practical experience and creativity.
✨Tip Number 3
Prepare for the technical interview! Brush up on your Python and SQL skills, and be ready to discuss your model lifecycle management experiences. We want to see how you think and solve problems in real-time.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in being part of our team at Noggin HQ.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with machine learning models and any relevant work with Open Banking data. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about reshaping credit scoring and how your background makes you a perfect fit for our team. Let us know what excites you about working at Noggin HQ.
Showcase Your Projects: If you've worked on any cool projects, especially those involving machine learning or credit risk solutions, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back!
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 the role. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Noggin HQ
✨Know Your Tech Stack
Make sure you’re well-versed in the tech stack mentioned in the job description. Brush up on AWS, Python, Docker, and SQL. Being able to discuss your experience with these tools will show that you’re not just a fit for the role but also ready to hit the ground running.
✨Showcase Your Model Management Skills
Prepare to talk about your experience with model lifecycle management and performance monitoring. Have specific examples ready where you’ve successfully managed models in production. This will demonstrate your ability to own critical aspects of the role.
✨Understand Open Banking Data
Since the role involves using Open Banking transaction data, make sure you understand its implications and how it can be leveraged for credit risk solutions. Bring insights or case studies to the table that highlight your familiarity with this area.
✨Communicate Clearly and Confidently
Given the collaborative nature of the role, practice articulating your thoughts clearly. Be prepared to discuss how you’ve worked with cross-functional teams in the past. Good communication skills are key, so don’t shy away from showcasing your ability to convey complex ideas simply.