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 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 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.

Company Benefits

• 25 days holiday (rising one per year up to 30 days) + bank holidays
• One month paid sabbatical after 4 years
• Equity scheme
• Private healthcare (post probation)
• Salary sacrifice pension scheme
• Life assurance
• We have a number of other perks that can be added as part of salary sacrifice incl: Critical illness cover, health cash back plans, tech financing etc.

Interview Process

1. Talent Team interview- 30 mins
2. Call with hiring manager + team - 60 mins
3. Paired Programming interview- 90 mins
4. Behaviours & Values interview - 45 mins