Data Scientist

Harnham; United Kingdom; Remote; GBP 35,000 - 45,000; Full time

Job summary

A rapidly growing UK-based start-up is seeking a Data Scientist specializing in forecasting and regression. The role involves developing KPI prediction models and collaborating with teams to produce actionable insights. Ideal candidates will have strong Python skills and experience in data science, with a focus on predictive analytics.

Qualifications

• 1-2 years of experience in data science or a related field.
• Experience with linear regression/statistical modeling.

Responsibilities

• Develop and refine KPI prediction models.
• Clean and process data to ensure accuracy.
• Build and maintain linear regression models.

Skills

Python

SQL

Education

Master’s degree

Job description

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Harnham

Building Data Science and Machine Learning Teams in the UK | The Talent Driving The Data and AI Revolution

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 approximately 30 people, they are scaling quickly, supported by recent funding and a strong growth pipeline.

They specialise in predictive analytics, tracking KPIs across various 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 develop and refine KPI prediction models, working with real-world data to generate 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 improve workflows.
• Collaborate with the revenue team to produce insightful reports.
• Support internal product development by enhancing data pipelines and analysis.

What They're Looking For

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

The Process

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

Seniority level

• Associate

Employment type

• Full-time

Job function

• Analysis, Science, and Engineering

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