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- Tasks: Design and build machine learning models to revolutionise credit scoring.
- Company: Join a VC-backed fintech company in Newcastle with a mission for fairer credit solutions.
- Benefits: Enjoy competitive pay, 25 days holiday, bonuses, and learning opportunities.
- Other info: Dynamic work environment with significant growth and progression opportunities.
- Why this job: Make a real impact in the fintech space while collaborating with industry leaders.
- Qualifications: 5+ years as a Data Scientist with experience in machine learning and Open Banking data.
The predicted salary is between 43200 - 72000 £ per year.
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.
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 and time management skills.
Tech stack:
- AWS/GC
- Python - Preferred
- Docker Preferred or Kubernetes
- SQL/PostgreSQL
- Git
- Nginx
- Flask or Fast API
- 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.
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 in Newcastle upon Tyne employer: Noggin HQ
Contact Detail:
Noggin HQ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in Newcastle upon Tyne
✨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 insights into the company culture and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your machine learning models and Open Banking data. We want to show that you’re not just a fit for the role, but also passionate about reshaping credit scoring!
✨Tip Number 3
Showcase your projects! If you've built any relevant models or solutions, be ready to discuss them in detail. We love seeing real-world applications of your skills and how they can benefit Noggin HQ.
✨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, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Senior Data Scientist in Newcastle upon Tyne
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 projects you've worked on, especially those involving Open Banking data.
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 skills align with our mission at Noggin HQ. Keep it concise but impactful!
Showcase Your Technical Skills: Don’t forget to mention your tech stack expertise! We want to see your experience with AWS, Python, and any other tools listed in the job description. Be specific about your contributions and achievements.
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, we love seeing candidates who take that extra step!
How to prepare for a job interview at Noggin HQ
✨Know Your Tech Stack
Familiarise yourself with the tech stack mentioned in the job description, especially AWS, Python, and SQL. Be ready to discuss your experience with these technologies and how you've used them in past projects.
✨Showcase Your Model Management Skills
Prepare examples of how you've designed, built, and maintained machine learning models. Highlight any experience you have with model lifecycle management and performance monitoring, as this is crucial for the role.
✨Demonstrate Collaboration Experience
Since collaboration is key, think of instances where you've worked closely with software engineers or other teams. Be ready to explain how you contributed to deploying models into production and shaping product roadmaps.
✨Be a Self-Starter
Emphasise your ability to take ownership of projects and work independently. Share specific examples that showcase your organisational skills and how you manage your time effectively to meet objectives.