Data Scientist

BPM Tech; Greater London; Remote; GBP 60,000 - 90,000; Full time

Job summary

BPM Tech is seeking a hands-on Data Scientist to build their AI and data capability from the ground up. This role offers the unique opportunity to establish data-driven decision making across the organization and potentially lead a data science team as the company scales. Competitive salary and benefits, including a car allowance and full remote working, are offered.

Benefits

£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

25 days' annual leave plus public holidays

Option to purchase up to 4 additional days leave annually

Qualifications

• Proficiency in Python or R for data analysis and machine learning.
• Strong SQL skills for data extraction and analysis.
• Experience with Azure cloud platform and services.

Responsibilities

• Design and implement data science solutions to drive business insights.
• Build and deploy machine learning models to solve business problems.
• Collaborate with teams to identify opportunities for data-driven improvements.

Skills

Python

R

SQL

Machine Learning

Data Analysis

Tools

Azure

Power BI

Tableau

Job description

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