Data Scientist

Harnham; Stevenage; Remote; GBP 38,000 - 45,000; Full time

Job summary

A rapidly growing UK-based start-up seeks a Data Scientist to join their team. You will be crucial in developing predictive models and generating actionable insights from complex data. The ideal candidate will have strong skills in Python, SQL, and statistical modeling, with the opportunity to shape the analytics landscape within the company.

Qualifications

• 1-2 years in data science or related field, or a Master’s degree.
• Experience with web scraping, machine learning, or dashboarding is a plus.
• Background in finance or exposure to financial data is advantageous.

Responsibilities

• Develop and refine KPI prediction models using real-world data.
• Clean, process data, and build linear regression models for KPI tracking.
• Collaborate with teams to generate reports and improve data pipelines.

Skills

Python programming

SQL

linear regression

web scraping

machine learning

dashboarding

Education

Master’s degree

Job description

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.