Remote Lead Data Science Engineer Job in UK Davies

Who you are

• 8-10 years of commercial data science experience.
• Strong proficiency in Python and LLMs.
• Extensive experience with Azure.
• Expertise in Test Driven Development (TDD) and automated testing.
• Experience with micro-services and containerization.
• Familiarity with site reliability engineering practices.
• Proven ability to mentor and coach development teams.
• Previous experience working within an Agile/Scrum framework.

Desirables

• Scikit-learn
• Rest APIs
• Cypress
• Terraform
• Load testing tools (k6 or equivalent)
• DevSecOps processes

What the job involves

• Develop and support various components of the Davies UK&I IT estate.
• You will be parachuted into areas to tackle complex problems.
• Enforce adherence to SOLID Principles and OWASP security guidelines by ensuring that all engineers consistently apply these practices in their code, conducting regular code reviews, and providing training and resources to maintain high standards of code quality, security, and maintainability.
• Provide expert solutions to complex problems during critical times and lead in the design and development of high-quality applications utilising strategic technologies.
• You will be encouraged to experiment with new technologies and make new suggestions where applicable.
• You will liaise with 3rd party software providers throughout the lifecycle – including design, development, support and maintenance.
• Act as a role model and mentor to development teams, promoting self-management and maturity.
• Coach individual team members and full development teams.
• Assist in defining and enforcing development patterns and standards, working closely with our architects to develop frameworks.
• Develop micro-services, containerization, and site reliability engineering.
• Promote and guide an automated test-driven development approach.
• Work within a Scrum Agile Framework.

Application process

• Contact Human Resources for any necessary adjustments during the application process.