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5,533

Data Scientist Junior jobs in United States

Principal Applied Data Scientist

Principal Applied Data Scientist
Elsevier
London
GBP 80,000 - 120,000
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Data Analyst

Data Analyst
Investec
Reading
GBP 40,000 - 70,000

Machine Learning Engineer

Machine Learning Engineer
TN United Kingdom
London
GBP 50,000 - 90,000

Data Scientist (GenAI)

Data Scientist (GenAI)
Starling Bank
Cardiff
GBP 50,000 - 80,000

Master Data Analyst

Master Data Analyst
Thames Water
Reading
GBP 45,000 - 55,000
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Data Analyst

Data Analyst
JR United Kingdom
Nottingham
GBP 29,000 - 35,000

Senior Data Engineer - KPMG Curve

Senior Data Engineer - KPMG Curve
KPMG United Kingdom
Leeds
GBP 45,000 - 75,000

Lead credit risk data scientist

Lead credit risk data scientist
JR United Kingdom
London
GBP 50,000 - 80,000
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Data Engineer

Data Engineer
JR United Kingdom
Nottingham
GBP 34,000 - 40,000

Data Analyst

Data Analyst
JR United Kingdom
England
GBP 40,000 - 70,000

Data Analyst

Data Analyst
Group 1 Automotive UK
Hebburn
GBP 30,000 - 50,000

Data Analyst (HYBRID)

Data Analyst (HYBRID)
JR United Kingdom
England
GBP 30,000 - 50,000

Data Analyst

Data Analyst
JR United Kingdom
Bristol
GBP 30,000 - 60,000

Data Analyst

Data Analyst
JR United Kingdom
Sheffield
GBP 46,000

Machine Learning Engineer

Machine Learning Engineer
JR United Kingdom
Leeds
GBP 125,000 - 150,000

Senior Machine Learning Engineer

Senior Machine Learning Engineer
PlayStation
London
GBP 45,000 - 85,000

Data Analyst

Data Analyst
JR United Kingdom
Manchester
GBP 80,000 - 100,000

Data Engineer

Data Engineer
Cree
Belfast
GBP 40,000 - 80,000

Principal Applied Data Scientist

Principal Applied Data Scientist
RELX
London
GBP 60,000 - 100,000

Machine Learning Engineer (UK)

Machine Learning Engineer (UK)
Coram AI
Greater London
GBP 80,000 - 150,000

Data Scientist - Core Analytics

Data Scientist - Core Analytics
Ripjar
Cheltenham
GBP 80,000

Data Scientist (GenAI)

Data Scientist (GenAI)
Starling Bank
Manchester
GBP 45,000 - 75,000

Data Engineer - Data Pipelines

Data Engineer - Data Pipelines
Starling Bank
London
GBP 45,000 - 85,000

Data Engineer - Leading Fashion Company - London

Data Engineer - Leading Fashion Company - London
Noir
London
GBP 40,000 - 50,000

Research Engineer - Machine Learning

Research Engineer - Machine Learning
Sony Playstation
London
GBP 50,000 - 90,000

Principal Applied Data Scientist

Elsevier
London
GBP 80,000 - 120,000
Job description
Principal Data Scientist

About our Team:

Our global team support products education electronic health records that introduce students to digital charting and prepare them to document care in todays modern clinical environment. We have a very stable product that we've worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality.

About the role

The Principal Data Scientist will drive fast-moving Proof of Concepts (PoCs) and collaborate closely with commercial teams to gather customer feedback, shaping technology strategy. This role is part of the CM Architecture & Innovation team, reporting to the Senior Director.

Responsibilities:

  • Collaboration: Connect across Elsevier to understand current data science, technology, and data capabilities. Engage with the Corporate Markets Business Unit to understand business goals and identify innovation opportunities.
  • Innovation: Lead hands-on development experiments and PoCs using diverse technologies and data science methods. Form short-lived, cross-functional teams to validate ideas with customers and inform strategy and roadmaps.
  • Expertise: Serve as a subject matter expert in Data Science and Advanced Technology (including GenAI/AI/ML). Keep the CM Technology team updated on industry trends and developments. Present at townhalls and provide updates to senior stakeholders.
  • Customer Engagement: Build relationships with technology users and builders in key customer organizations, particularly in the pharmaceutical industry. Understand their challenges and opportunities and provide insights on IT technology trends.
  • Transition Support: Facilitate the transition of successful experiments/PoCs into production. Encourage innovators across Corporate Markets to deliver faster outcomes for customers.
  • Strategy and Roadmaps: Contribute to and help drive the technology aspects of the strategy and roadmaps of Corporate Markets
Requirements:

  • Strong engineering background with up-to-date knowledge of AI/ML technology.
  • Hands-on experience in supporting production systems as a software developer or data scientist.
  • Experience leading teams to deliver complex solutions, including working across distributed international teams.
  • Proven track record of implementing and integrating advanced Data Science and/or GenAI technology into production systems.
  • Demonstrable experience in cross-functional engagement and communication at all business levels, including stakeholder management and presenting at the CxO level.
  • Proficiency in coding with Python and experience with other relevant languages and technologies such as Java, LangGraph, MCP, Agentic Workflows, Knowledge Graphs, Vector search, and no/low-code frameworks.
  • Familiarity with platforms like Microsoft OneLake, AWS Sagemaker, Databricks, and Snowflake.
Work in a way that works for you:

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working for you:

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
• Generous holiday allowance with the option to buy additional days
• Health screening, eye care vouchers and private medical benefits
• Wellbeing programs
• Life assurance
• Access to a competitive contributory pension scheme
• Save As You Earn share option scheme
• Travel Season ticket loan
• Electric Vehicle Scheme
• Optional Dental Insurance
• Maternity, paternity and shared parental leave
• Employee Assistance Programme
• Access to emergency care for both the elderly and children
• RECARES days, giving you time to support the charities and causes that matter to you
• Access to employee resource groups with dedicated time to volunteer
• Access to extensive learning and development resources
• Access to employee discounts scheme via Perks at Work

About the Business:

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

Elsevier is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

Please read our Candidate Privacy Policy.
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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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