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1,074

Machine Learning jobs in United Kingdom

Data Scientist

ZipRecruiter

Manchester
On-site
GBP 50,000 - 80,000
30+ days ago
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Senior Pricing Data Scientist

ZipRecruiter

London
Remote
GBP 65,000
30+ days ago

AI Skills Development Lead

Corndel.

London
Hybrid
GBP 60,000 - 95,000
30+ days ago

Senior AI & ML Instructor

Decoded

London
Remote
GBP 55,000 - 65,000
30+ days ago

AI Trainer

Zenith People

Hebburn
On-site
GBP 35,000 - 50,000
30+ days ago
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Data Scientist Manager

KPMG Ireland

Belfast
Hybrid
GBP 60,000 - 80,000
30+ days ago

Data Scientist Senior Consultant

KPMG Ireland

Belfast
Hybrid
GBP 45,000 - 65,000
30+ days ago

Associate Educator, Data Scientist

BrainStation

London
On-site
GBP 40,000 - 60,000
30+ days ago
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Senior Data Engineer

Allianz

London
Hybrid
GBP 80,000
30+ days ago

Senior Applied Scientist, World Modeling

Wayve

London
On-site
GBP 70,000 - 90,000
30+ days ago

Senior Data Scientist

Lear

Coventry
On-site
GBP 60,000 - 80,000
30+ days ago

Principal Data Engineer (Databricks) - UK

DATAPAO

United Kingdom
Remote
GBP 70,000 - 100,000
30+ days ago

Full-Stack Engineer

Encord

London
On-site
GBP 50,000 - 80,000
30+ days ago

AI Engineer / Data Scientist

Daxtra Technologies Ltd

Musselburgh
On-site
GBP 50,000 - 80,000
30+ days ago

Senior Applied Researcher

Hudl

London
Hybrid
GBP 70,000 - 100,000
30+ days ago

Account Manager

Qualio

North America
Remote
GBP 51,000 - 67,000
30+ days ago

Data Scientist

RealityMine

Manchester
Hybrid
GBP 50,000 - 70,000
30+ days ago

Technical Adoption Consultant - EMEA (data platform)

ZipRecruiter

London
On-site
GBP 60,000 - 80,000
30+ days ago

Senior Computational Drug Hunter

Aqemia

London
Hybrid
GBP 70,000 - 90,000
30+ days ago

AI Platform Lead

Funding Circle UK

London
Hybrid
GBP 75,000 - 95,000
30+ days ago

Senior Product Engineer (Backend - UK)

Sequence

London
Remote
GBP 80,000 - 130,000
30+ days ago

Staff Agentic AI Engineer

SentinelOne

United Kingdom
Hybrid
GBP 75,000 - 95,000
30+ days ago

Senior Data Engineer

Made Tech Limited

Manchester
Hybrid
GBP 60,000 - 80,000
30+ days ago

Staff iOS Engineer

John Lewis Partnership

London
Hybrid
GBP 57,000 - 93,000
30+ days ago

Senior Lead Cybersecurity Architect

JPMorgan Chase & Co.

London
On-site
GBP 85,000 - 120,000
30+ days ago

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Data Scientist
ZipRecruiter
Manchester
On-site
GBP 50,000 - 80,000
Full time
30+ days ago

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.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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