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Data Scientist

BPM Tech
Posted 4 hours ago, valid for 9 days
Location

London, Greater London EC1R 0WX

Salary

£6,000 per month

Contract type

Full Time

Life Insurance

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

info
  • We are looking for a hands-on Data Scientist to join our team as our first dedicated data science hire, offering a competitive salary of up to £90,000 per annum.
  • The successful candidate will have the opportunity to build our AI and data capabilities from the ground up and will need to have at least a few years of relevant experience in data science projects.
  • Key responsibilities include designing and implementing data science solutions, building machine learning models, and collaborating with cross-functional teams for data-driven improvements.
  • Essential skills include proficiency in Python or R, strong SQL capabilities, and experience with Azure cloud platforms and AI productivity tools.
  • The role also offers fully remote working, a £6,000 annual car allowance, and opportunities for career development as the data science function expands.
Data ScientistUp 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

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.