Data Scientist

BPM Tech Greater London, England, United Kingdom
About The Role
We 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.
Salary & Location
Up to £90,000 per annum
Remote Based
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
Essential Requirements & 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
Desirable Skills
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
What We Offer: 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
Seniority level Entry level
Employment type Full-time
Job function Engineering and Information Technology

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