Lead Data Scientist

Stanton House; London; Hybrid; GBP 70,000 - 75,000; Full time

Job summary

Join a fast-growing tech company as a Data Scientist where you will apply your expertise in Python and machine learning to develop predictive models that drive strategic decisions. Become a key player in a dynamic data team and help shape operational and financial strategies through insightful analysis.

Qualifications

• 4+ years of experience.
• Strong statistical foundations and analytical mindset.
• Ability to explain complex concepts to diverse stakeholders.

Responsibilities

• Develop, deploy, and maintain predictive models.
• Collaborate with teams to communicate insights.
• Build dashboards to monitor model outputs.

Skills

Python

SQL

Machine Learning

Statistical Reasoning

Analytical Mindset

Education

Degree in Data Science, Math, Statistics, or Computer Science

Job description

Direct message the job poster from Stanton House

Technology Recruiter Specialising in Data

We’re Hiring: Data Scientist | Fast-Growing Tech Company | London (Hybrid)

Are you a data expert who loves solving real-world problems with predictive models and analytics? Join a fast-growing tech company where your models will drive strategic decisions and support high-impact business growth.

About the Role

We’re on the hunt for a talented Data Scientist with strong statistical foundations, top-tier Python/SQL skills, and hands-on experience in machine learning. You’ll join a lean, ambitious data team and play a key role in forecasting, modelling, and strategic planning across the business. Your insights will help shape operational and financial decisions company-wide.

What You’ll Do

Develop, deploy, and maintain predictive models to forecast performance and trends

Identify and test key features that drive business outcomes

Collaborate with technical and non-technical teams to communicate insights

Build visual tools or dashboards to monitor model outputs

Write clean, maintainable, and well-documented code

Share ideas to improve and evolve our data platform

What You Bring

Proficiency in Python, SQL, and ML libraries (e.g., SKLearn, XGBoost, Numpy)

Strong statistical reasoning and analytical mindset

Ability to explain complex concepts to diverse stakeholders

Self-starter attitude with curiosity and drive

A degree in Data Science, Math, Statistics, or Computer Science preferred

4+ years of experience (we're flexible for exceptional candidates)

60-minute technical interview

2-hour in-person case study + deep dive with our data team

30-minute conversation with our CFO

Sound like the kind of challenge you're ready for?

Apply now to join a company where data is at the heart of everything we do.

#DataScienceJobs #HiringNow #MachineLearning #PythonJobs #SQL #TechCareers #LondonJobs #HybridWork

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Analyst

• Industries

  Staffing and Recruiting

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