Data Science Manager

Harnham; Remote; GBP 75,000; Full time

Job summary

An innovative start-up in the UK is seeking a Data Science Manager to lead a dynamic team. This role involves mentoring junior members, building regression models, and enhancing data workflows. You'll play a crucial role in shaping data-driven decisions for various industries. If you're passionate about data science and eager to contribute to a rapidly growing company, this is an exciting opportunity to make a significant impact in the data and AI revolution.

Qualifications

• 5+ years experience in data science or a related field.
• Strong Python programming and SQL skills are essential.

Responsibilities

• Mentor and lead junior team members in data science projects.
• 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

5 years in data science or related field

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 Science Manager

Up to 75,000

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:

• Mentor and provide technical leadership to junior members of the team.
• Contribute to strategic leadership and collaborate with the senior leadership team.
• 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:

• 5 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

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Analyst

• Industries

  Software Development and Financial Services

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