• Description

What we do at Codat

Codat helps banks create stronger, data-driven relationships with their business customers. Our platform makes it easy for banks to access, synchronize, and interpret data from customers’ financial software, enabling critical use cases such as supplier onboarding for commercial card and virtual card programs, and underwriting business loans.

We empower the world’s largest banks to grow share of wallet, reduce churn, and scale operations efficiently. Codat is backed by leading investors, including JP Morgan, Canapi Ventures, Shopify, Plaid, Tiger Global, PayPal Ventures, Index Ventures, and American Express Ventures.

The Role

We are looking for a product-focused data scientist to join our engineering team.

You are product-minded and passionate about delivering high-quality data-driven solutions.

You’ll be digging through our data to find and bring value to our clients through a mixture of business acumen and technical expertise in data science disciplines.

What makes a great Data Scientist at Codat

• Action-oriented and eager to take ownership of projects and initiative
• Start-up mindset - it’s critical that you can deliver at pace and have the attitude to get things done
• Knowing when to to switch from scrappy exploratory code to code that adheres to best practices and production-ready standards
• Passionate about monitoring and observability of deployed solutions
• Proactive and collaborative approach to problem-solving, no problem is too big mindset
• Ability to effectively communicate technical concepts to both technical and non-technical team members
• Having a broad knowledge of various Machine Learning techniques with their benefits and drawbacks and knowing which one to pick for task at hand
• Understanding that not all challenges require the latest LLM model, sometimes less is more
• A team player who loves working within a multidisciplinary team and collaborating with other teams

What you 'll bring to the team

• Strong proficiency in Python and Data science libraries like scikit-learn or equivalent
• Experience with SQL/Databricks for data exploration
• Ability to explain data science concepts and solutions to broad audiences
• Implements and follows ML Ops best practices
• Proven record of deploying models to production, ideally as a serverless applications
• Understanding why data protection and security practices are important
• Familiarity with CI/CD pipelines and cloud-based deployment

It would be advantageous but not essential to have experience in the following:

• Experience with containerisation and orchestration technologies like Docker and Kubernetes (K8s)
• Experience with LLMs

Benefits & Perks

We offer a range of benefits including:
Healthcare- We provide private health insurance through vitality after probation.
Holiday- 25 days+ bank holidays - rising one day per year of service up to 30 days.
Equity - Success is a team game and everyone receive’s a piece of the success

Perks:
We have a range of other perks available from: Cycle to work schemes, charitable giving, tech benefits etc

Where we work
We have an office in the Farringdon, London. We always encourage & recommend time spent in person with colleagues but provide the flexibility to make this work for you.

About Codat

For more information please visit our website: www.codat.io