Data Scientist

ZipRecruiter; Manchester; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

An established industry player is seeking a Senior Data Scientist to lead innovative data initiatives in their Manchester office. This role involves developing machine learning models to enhance customer engagement and optimize pricing strategies. You will collaborate with cross-functional teams and mentor junior staff, ensuring best practices in data science are upheld. With flexible working options and a focus on career development, this is a fantastic opportunity for those passionate about data to make a significant impact in the retail sector.

Benefits

Competitive salary and performance bonuses

Flexible working options

Employee discounts

Wellness programs

Training budget

Career development support

10% pension contribution

Qualifications

• 5+ years of experience in data science, ideally in retail or e-commerce.
• Strong skills in Python, R, SQL, and data visualization tools.

Responsibilities

• Develop and deploy 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

Education

Master's in Data Science

PhD in Statistics

Tools

Power BI

Tableau

AWS

GCP

Azure

dbt

Airflow

MLflow

Job description

Job Description

Senior Data Scientist

Location: Manchester, UK

Industry: Retail

About the Role:

Our leading retail client in the UK is 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 optimizing customer engagement, pricing, and inventory management across retail operations.

Key Responsibilities:

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

Key Requirements:

1. Proven experience (5+ years) in a data science role, preferably in retail or e-commerce sectors.
2. Strong proficiency in Python or R, SQL, and data visualization tools (e.g., Power BI, Tableau).
3. Hands-on experience with cloud platforms such as AWS, GCP, or Azure.
4. Expertise in machine learning, statistical modeling, and predictive analytics.
5. Excellent communication and stakeholder management skills.

Desirable:

1. Experience working with large-scale retail datasets (e.g., POS, CRM, supply chain).
2. Familiarity with tools like dbt, Airflow, or MLflow.
3. Master’s or PhD in Data Science, Statistics, Computer Science, or related fields.

Benefits:

• 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
• 10% pension contribution

*Visa sponsorship is not available.*

InterQuest Group acts as an employment agency for this vacancy. We are an equal opportunities employer and welcome applications from all qualified persons regardless of belief, marriage, civil partnership, maternity, or other statuses. Please inform us if you require reasonable adjustments during the recruitment process.