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Data Scientist

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Data Scientist

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CodatGet AI-powered advice on this job and more exclusive features.This range is provided by Codat. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay range

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 initiativeStart-up mindset - it’s critical that you can deliver at pace and have the attitude to get things doneKnowing when to to switch from scrappy exploratory code to code that adheres to best practices and production-ready standardsPassionate about monitoring and observability of deployed solutionsProactive and collaborative approach to problem-solving, no problem is too big mindsetAbility to effectively communicate technical concepts to both technical and non-technical team membersHaving a broad knowledge of various Machine Learning techniques with their benefits and drawbacks and knowing which one to pick for task at handUnderstanding that not all challenges require the latest LLM model, sometimes less is moreA 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 equivalentExperience with SQL/Databricks for data explorationAbility to explain data science concepts and solutions to broad audiencesImplements and follows ML Ops best practicesProven record of deploying models to production, ideally as a serverless applicationsUnderstanding why data protection and security practices are importantFamiliarity 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

Nobody checks every box, and we don’t expect you to! If this role excites you, we encourage you to apply, even if your experience doesn’t perfectly align with every requirement.

Benefits and 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 and recommend time spent in person with colleagues but provide the flexibility to make this work for you.

Compensation Range: £63K - £88K

Seniority level

Seniority level Entry levelEmployment type

Employment type Full-timeJob function

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