Remote Based
About the RoleWe are seeking a hands-on Data Scientist to join our team as our first dedicated data science hire. This is a unique opportunity to build our AI and data capability from the ground up, working directly with leadership to establish data-driven decision making across the organization. The successful candidate will have the potential to grow and lead a data science team as we scale.
Key Responsibilities- Design and implement data science solutions to drive business insights and decision-making
- Build and deploy machine learning models to solve real business problems
- Develop and maintain data pipelines and analytics infrastructure on Azure
- Collaborate with cross-functional teams to identify opportunities for data-driven improvements
- Establish best practices for data science workflows, model deployment, and monitoring
- Leverage AI tools to enhance productivity and accelerate project delivery
- Create dashboards, reports, and visualizations to communicate findings to stakeholders
- Mentor team members and contribute to building a data-driven culture
Technical Skills:
- Proficiency in Python or R for data analysis and machine learning
- Strong SQL skills for data extraction, transformation, and analysis
- Experience with Azure cloud platform and services
- Hands-on experience with AI productivity tools (e.g., GitHub Copilot, ChatGPT, etc.)
- Practical machine learning experience including model development, validation, and deployment
- Experience working with data platforms and infrastructure (any technology stack)
Professional Experience:
- Proven track record of delivering data science projects in a business environment
- Experience translating business requirements into technical solutions
- Strong problem-solving skills with a practical, results-oriented approach
- Excellent communication skills to present findings to both technical and non-technical audiences
- Experience with Azure Machine Learning, Azure Data Factory, or other Azure data services
- Knowledge of MLOps practices and tools
- Experience with data visualization tools (Power BI, Tableau, etc.)
- Understanding of statistical analysis and experimental design
- Previous experience in a startup or scale-up environment
- Experience building data science capabilities from scratch
Compensation & Benefits:
- Competitive salary up to £90,000
- £6,000 annual car allowance
- Life assurance (2x basic salary)
- Access to Perkbox employee benefits platform
- Medicash level 1 individual cover (company paid)
- Eligibility to join our electric vehicle scheme
Work-Life Balance:
- Fully remote working
- 37.5 hours per week (Monday-Friday)
- 25 days' annual leave plus public holidays (rising to 30 days after 5 years)
- Option to purchase up to 4 additional days leave annually
Career Development:
- Opportunity to be the founding member of our data science function
- Direct impact on business strategy and growth
- Potential to build and lead a team as we expand
- Modern technology stack and tools
- Collaborative, innovative work environment
- Professional development opportunities