Data Science Manager

JR United Kingdom; Kingston upon Hull; Remote; GBP 60,000 - 75,000; Full time

Job summary

A rapidly growing UK-based start-up is seeking a Data Science Manager to lead the development of KPI prediction models and manage a team of data scientists. With a focus on predictive analytics, the role requires strong leadership, a solid technical background, and the ability to deliver impactful data solutions. This position offers a competitive salary and the chance to shape innovative data products.

Qualifications

• 5+ years experience in data science or related field.
• Proven leadership experience in mentoring or managing.
• Strong grasp of linear regression and data processing best practices.

Responsibilities

• Lead and mentor a team in building predictive models.
• Oversee data cleaning and model development pipelines.
• Collaborate with teams to translate business needs into data science solutions.

Skills

Leadership

Data Processing

Predictive Analytics

SQL

Statistical Modeling

Education

Bachelor's degree in quantitative or technical field

Tools

Docker

Machine Learning Techniques

Dashboarding Tools

Job description

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Data Science Manager, kingston upon hull, east yorkshire

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Client:

Location:

kingston upon hull, east yorkshire, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

5

Posted:

10.06.2025

Expiry Date:

25.07.2025

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Job Description:

Data Science Manager

Remote (UK-Based)

Up to £75,000

The Company

This UK-based start-up has achieved rapid growth in just two years, now boasting a team of ~40 people across divisions. Following a successful funding round and with a strong pipeline ahead, they continue to scale at pace.

They specialise in predictive analytics and KPI tracking across a broad range of companies and industries. Their predictive insights empower hedge funds and investors with critical performance data, ahead of public earnings reports.

The Role

As a Data Science Manager, you’ll take ownership of the end-to-end development of KPI prediction models and manage a team of data scientists, helping refine their workflows and ensure high-quality deliverables.

You will:

• Lead and mentor a team of data scientists in building predictive models.
• Oversee data cleaning, feature engineering, and model development pipelines.
• Build and maintain robust, scalable linear regression and statistical models for KPI forecasting.
• Drive improvements in internal tooling and API integrations.
• Collaborate closely with leadership, engineering, and the revenue team to translate business needs into data science solutions.
• Play a key role in product innovation, helping shape how new data products are designed and delivered.

What They're Looking For

• 5+ years’ experience in data science or a closely related field.
• Proven leadership experience — mentoring or managing junior data scientists.
• Strong grasp of linear regression, statistical modeling, and data processing best practices.
• Proficient in SQL (MySQL preferred).
• Experience with web scraping, machine learning techniques, and dashboarding tools is a bonus.
• Familiarity with Docker, time series forecasting, or LLM technologies is advantageous.
• A background or exposure to finance is useful but not mandatory.
• Bachelor’s degree (or higher) in a quantitative or technical field.
• Strong coding samples (e.g., GitHub projects).
• Practical experience building production-level models and data pipelines.
• Ability to bridge data science and product development goals.

If this role looks it could be of interest, please reach out to Joseph Gregory, or apply here.