Senior Data Scientist

ECOM; Greater Manchester; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

Join a leading retail client as a Senior Data Scientist in a dynamic analytics team. You will lead innovative data initiatives to enhance customer engagement, optimize pricing, and manage inventory effectively. This role involves developing machine learning models, conducting deep analyses, and translating complex data into actionable insights. Collaborate with cross-functional teams to drive strategic decisions and mentor junior data scientists. Embrace flexible working options in a supportive environment that values your growth and contributions. An exciting opportunity to make a significant impact in the retail sector awaits you.

Benefits

Flexible working options

Employee discounts

Wellness programs

Training budget

Career development support

Qualifications

• 5+ years in data science, especially in retail/e-commerce.
• Strong skills in Python, R, SQL, and data visualization tools.

Responsibilities

• Develop machine learning models for customer engagement and pricing.
• Conduct analyses on customer behavior and sales trends.

Skills

Python

R

SQL

Data Visualization

Machine Learning

Statistical Modeling

Predictive Analytics

Communication Skills

Stakeholder Management

Education

Master’s in Data Science

PhD in Statistics

Tools

Power BI

Tableau

AWS

GCP

Azure

dbt

Airflow

MLflow

Job description

ECOM Greater Manchester, England, United Kingdom

Senior Data Scientist

ECOM Greater Manchester, England, United Kingdom

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Senior Data Scientist

Manchester, UK

About the Role:

Our UK leading retail client are seeking a highly skilled Senior Data Scientist to join their dynamic analytics team in Manchester. In this role, you will lead strategic data initiatives aimed at optimising customer engagement, pricing, and inventory management across our retail operations.

Key Responsibilities:

• Develop and deploy machine learning models to support business objectives (e.g., customer segmentation, demand forecasting, price optimisation).
• Conduct deep-dive analyses on customer behaviour, sales trends, and supply chain data.
• Translate complex data findings into clear, actionable insights for stakeholders.
• Collaborate with cross-functional teams including marketing, merchandising, and supply chain.
• Mentor and support junior data scientists and analysts.
• Promote best practices in data science, model validation, and experimentation (e.g., A/B testing).

Key Requirements:

• Proven experience (5+ years) in a data science role, preferably in the retail or e-commerce sector.
• Strong proficiency in Python or R, SQL, and data visualisation tools (e.g., Power BI, Tableau).
• Hands-on experience with cloud platforms such as AWS, GCP, or Azure.
• Expertise in machine learning, statistical modeling, and predictive analytics.
• Excellent communication and stakeholder management skills.
• Experience working with large-scale retail datasets (e.g., POS, CRM, supply chain).
• Familiarity with tools like dbt, Airflow, or MLflow.
• Master’s or PhD in Data Science, Statistics, Computer Science, or related field.
• Competitive salary and performance bonuses
• Flexible working options, including hybrid remote work (2 days in office)
• Employee discounts and wellness programs
• Training budget and career development support

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Retail

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