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2,190

Ux Researcher jobs in United States

Data Scientist | Edtech | 60K To 70K | Global Business

Opus Recruitment Solutions

London
Hybrid
GBP 60,000 - 70,000
6 days ago
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Scientist

Caresoft Global Talent Solutions Ltd

Wokingham
On-site
GBP 80,000 - 100,000
6 days ago
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Analytical Scientist

Viatris

Stone Cross
On-site
GBP 35,000 - 50,000
6 days ago
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Senior Biomedical Scientist and Health and Safety Representative

University Hospitals Sussex NHS Foundation Trust

Kemp Town Estate
On-site
GBP 30,000 - 45,000
6 days ago
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Medical Affairs Scientist / Scientific Advisor

Merz Aesthetics

Hemel Hempstead
On-site
GBP 60,000 - 80,000
6 days ago
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Associate Principal Scientist R&D

ZipRecruiter

Slough
On-site
GBP 60,000 - 80,000
6 days ago
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Research scientist in optoelectronics

Milvus Advanced

Oxford
Hybrid
GBP 50,000 - 80,000
6 days ago
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Climate Impacts Foundation Scientist

Met Office

Devon and Torbay
Hybrid
GBP 26,000 - 39,000
6 days ago
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Graduate Recruitment Researcher

James Frank Associates

Royal Tunbridge Wells
On-site
GBP 60,000 - 80,000
6 days ago
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Band 6 Biomedical Scientist - Histology

IMC

St Leonards
On-site
GBP 60,000 - 80,000
6 days ago
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Scientist - Analytical Development

Orchard Therapeutics

London
On-site
GBP 40,000 - 60,000
6 days ago
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Specialist Biomedical Scientist - Haematology & BT

Synlab

Great Burstead
Hybrid
GBP 38,000 - 47,000
6 days ago
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Staff Machine Learning Scientist

Zendesk

London
Hybrid
GBP 90,000 - 120,000
6 days ago
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Clinical Scientist - Nuclear Medicine

Royal Wolverhampton NHS Trust

Wolverhampton
On-site
GBP 35,000 - 50,000
6 days ago
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Band 7 Team Manager Biomedical Scientist - Blood Sciences Team

Sanctuary Personnel

Ashton-under-Lyne
Hybrid
GBP 60,000 - 80,000
6 days ago
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Postdoctoral Research Associate in Applied Mathematics and Computational Neuroscience

University of Oxford

Oxford
On-site
GBP 35,000 - 45,000
6 days ago
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Research Associate in Physics-Informed Machine Learning for Crowd Dynamics

The University of Edinburgh

City of Edinburgh
On-site
GBP 41,000 - 49,000
6 days ago
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Executive Search Researcher

Harrods Careers

London
Hybrid
GBP 45,000 - 60,000
6 days ago
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Applied Scientist III

TRSS

London
Hybrid
GBP 65,000 - 85,000
6 days ago
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Senior Machine Learning Scientist

Zendesk

London
Hybrid
GBP 70,000 - 100,000
6 days ago
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Telephone Researcher

Adecco

Wirksworth CP
On-site
GBP 40,000 - 60,000
6 days ago
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Lead Data & AI Scientist - ML Models Fraud & Financial Crime

lloyds banking group

Leeds
Hybrid
GBP 70,000 - 79,000
6 days ago
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Clinical Scientist/Embryologist

NHS

Nottingham
On-site
GBP 60,000 - 80,000
6 days ago
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Senior Biomedical Scientist

NHS

London
On-site
GBP 30,000 - 40,000
6 days ago
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Senior Assistant Healthcare Scientist in Microbiology

NHS

Ashford
On-site
GBP 30,000 - 40,000
6 days ago
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Data Scientist | Edtech | £60K To £70K | Global Business
Opus Recruitment Solutions
London
Hybrid
GBP 60,000 - 70,000
Full time
6 days ago
Be an early applicant

Job summary

An international organisation in London is seeking a Data Scientist to build data models and analytics tools. This hybrid role emphasizes collaboration and innovation, requiring strong skills in SQL and Python. The ideal candidate will help shape the future of business education through data insights. Competitive salary and generous benefits included.

Benefits

Competitive salary
Generous holiday allowance
Opportunities for growth

Qualifications

  • Experience as a Data Scientist or Analyst in a fast-paced, agile environment.
  • Strong skills in SQL, Python, Snowflake, and BI tools.
  • Curious mindset and ability to translate data into actionable insights.

Responsibilities

  • Building and optimising data models and pipelines using SQL and Python.
  • Working with Snowflake to uncover insights that drive decisions.
  • Developing BI dashboards and analytics tools.

Skills

SQL
Python
Snowflake
BI tools (Power BI, Tableau)
Data-driven insights
Job description
Overview

Role: Data Scientist
Location: London Hybrid (4days on-site)
Salary: £60,000 to £70,000 + Benefits

This is more than just a data science role, it's a chance to join a global organisation that believes learning happens through doing. With a network that spans continents and a community representing over 140 nationalities, this is a place where innovation, diversity, and impact come together.

You'll be part of a team that's shaping the future of business education through data. From undergraduate to doctorate-level programs, this organisation is known for its challenge-led, hands-on approach to learning—and your insights will help drive that mission forward.

Responsibilities
  • Building and optimising data models and pipelines using SQL and Python
  • Working with Snowflake and CRM data to uncover insights that drive strategic decisions
  • Developing BI dashboards and analytics tools to support marketing, admissions, and academic teams
  • Collaborating across departments to improve data accessibility and storytelling
  • Supporting data governance and contributing to a culture of data-driven innovation
Qualifications
  • Experience as a Data Scientist or Analyst in a fast-paced, agile environment
  • Strong skills in SQL, Python, Snowflake, and BI tools (Power BI, Tableau, etc.)
  • Familiarity with CRM systems and data pipeline architecture
  • A curious mindset and the ability to translate data into actionable insights
  • Bonus: Experience in education, edtech, or global organisations
Benefits
  • A truly international environment with a mission-driven culture
  • A collaborative team that values creativity, initiative, and impact
  • Opportunities to shape how data informs strategy across a global network
  • Competitive salary, generous holiday allowance, and room to grow

If you're ready to turn data into action and help shape the future of business, we'd love to hear from you

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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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