Data Scientist

Harnham

Greater London

Hybrid

GBP 40,500 - 49,500

Full time

14 days+

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Job summary

An innovative UK-based start-up is seeking a Data Scientist to join their rapidly growing team. This role involves cleaning and processing data, building regression models, and collaborating with various teams to enhance data insights. The company specializes in predictive analytics, providing crucial performance data that empowers investors. If you're passionate about data science and eager to contribute to a dynamic environment, this opportunity is perfect for you. Join a team that is at the forefront of the data and AI revolution, and help shape the future of informed decision-making.

Qualifications

1-2 years experience in data science or a Master’s degree.
Strong Python, SQL, and statistical modelling skills.

Responsibilities

Clean and process data for accuracy and usability.
Build and maintain linear regression models for KPI tracking.
Collaborate with teams to generate insightful reports.

Skills

Python programming

SQL

Linear regression

Statistical modelling

Web scraping

Machine learning

Dashboarding

Education

Master’s degree in Data Science or related field

1-2 years in data science or related field

Job description

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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

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

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:

Seniority level