Data Scientist

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

Job summary

BPM Tech is looking for a Data Scientist to join their team as the first dedicated data science hire. This role offers a unique opportunity to build AI capabilities from the ground up, directly impacting business strategy. The successful candidate will design data solutions, mentor team members, and establish best practices in a fully remote environment, with a competitive salary and benefits.

Benefits

Annual car allowance

Life assurance

Employee benefits platform

Medicash cover

Electric vehicle scheme

25 days' annual leave plus public holidays

Option to purchase additional leave

Qualifications

• 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.

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 opportunities for data-driven improvements.

Skills

Python

R

SQL

Machine Learning

Data Analysis

Problem Solving

Communication

Tools

Azure

GitHub Copilot

ChatGPT

Power BI

Tableau

Job description

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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.

Compensation and Benefits

• Up to £90,000pa
• 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

Additional Details

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Engineering and Information Technology