Data Scientist

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

Job summary

BPM Tech is seeking a hands-on Data Scientist to join as the first dedicated hire in this role. This unique opportunity allows you to build AI and data capabilities from the ground up, directly impacting business strategy and growth while working in a fully remote environment.

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 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 real business problems.
• Collaborate with cross-functional teams to identify data-driven improvements.

Skills

Python

SQL

Machine Learning

Data Analysis

Problem Solving

Tools

Azure

GitHub Copilot

ChatGPT

Job description

Up to £90,000pa

Remote Based

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.

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