Data Scientist

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Data Scientist

Up to 45,000

Location (Remote)

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.

Responsibilities:

• 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.

Requirements:

• 1-2 years in data science or a related field, or a Master’s degree.
• Strong Python programming (essential), SQL, and linear regression/statistical modelling. 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.

How to Apply:

Register your interest by sending your CV to Emily Burgess via the Apply link on this page.

• Seniority level
  
  Mid-Senior level

• Employment type
  
  Full-time

• Job function Analyst
• Industries Software Development and Financial Services

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