Data Scientist

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

Job summary

A fast-growing UK-based start-up is seeking a Data Scientist to join their team. In this role, you'll develop KPI prediction models and work with real-world data to create actionable insights. Candidates should have strong skills in Python and statistics, and a background in finance is a plus. This position offers the flexibility of remote work within the UK.

Qualifications

• 1-2 years in data science or related field, or a Master’s degree.
• Strong Python programming skills.
• Experience with web scraping or dashboarding is a plus.

Responsibilities

• Clean and process data to ensure accuracy and usability.
• Build and maintain linear regression models for KPI tracking.
• Collaborate with the revenue team to generate insightful reports.

Skills

Python

SQL

Linear Regression

Statistical Modeling

Machine Learning

Education

Master’s degree in Data Science or related field

Job description

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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.