Data Scientist

Harnham
Derby, England
12 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

ML Runtime Engineer (Mid-Level and Senior)

Fractile London, United Kingdom
Hybrid
Spotlight

Senior Machine Learning Scientist

Chattermill London, United Kingdom
Remote

Data Scientist

Experis London, United Kingdom
£560 pd Hybrid Clearance Required

Data Scientist

Faculty AI London, United Kingdom
Hybrid Clearance Required

Data Scientist

PhysicsX London, United Kingdom
Hybrid

Data Scientist

PhysicsX North Tyneside, NE29 8EP, United Kingdom
£120,000 pa Hybrid

Data Scientist

Belcan Larne, County Antrim, United Kingdom
On-site

Data Scientist

PhysicsX United Kingdom
On-site
Posted
1 Jul 2025 (12 months ago)

Data Scientist - (Forecasting/Regression)

Remote (UK-Based)

Up to £45,000


The Company

This UK-based start-up has grown rapidly in just two years. With a team of ~30 people, they are scaling quickly, supported by recent funding and a strong growth pipeline.


They specialise in predictive analytics, tracking KPIs for a wide range of companies and industries. Their insights empower investors to make informed decisions by providing performance data ahead of public reports.


The Role

As a Data Scientist, you’ll play a pivotal role in developing and refining KPI prediction models, working with real-world data to create actionable insights.

  • Clean and process data to ensure accuracy and usability.
  • Build and maintain linear regression models for KPI tracking.
  • Access APIs and integrate software tools to enhance workflows.
  • Collaborate with the revenue team to generate insightful reports.
  • Support internal product development by improving data pipelines and analysis.


What They're Looking For

  • 1-2 years in data science or a related field, or a Master’s degree.
  • Strong Python programming (essential), SQL, and linear regression/statistical modeling. Experience with web scraping, machine learning, or dashboarding is a plus.
  • A background in finance or exposure to financial data is advantageous but not required.


The Process

  • A data task: Process raw data and build a model to predict revenue (2-4 hours).
  • A technical interview with the Head of Technology, covering coding, statistics, and technical problem-solving.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.