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3,473

Data Scientist Junior jobs in United States

Subject Matter Expert - Data Science (Contractor Opportunity, Part-Time)

RS Consult

Leeds
Remote
GBP 70,000 - 90,000
Yesterday
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Data Engineer

Snowplow

United Kingdom
Remote
GBP 50,000 - 70,000
Yesterday
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Business Data Analyst - Business Intelligence (9-month FTC)

Utility Warehouse

City Of London
Remote
GBP 60,000 - 80,000
Yesterday
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Graduate Commercial Analyst-Procurement & Supply Chain

The Talent & Retention Co.

Stoke-on-Trent
On-site
GBP 22,000 - 26,000
Yesterday
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Data Engineer with SSIS and SSAS

Jas Gujral

City Of London
On-site
GBP 55,000 - 70,000
Yesterday
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Farming Operations Data Analyst

Agrial Fresh Produce

Colchester
Hybrid
GBP 60,000 - 80,000
Yesterday
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Senior Data Engineer

Our Vacancies

Bassetlaw
On-site
GBP 60,000 - 90,000
Yesterday
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Senior Data Analyst - Europe

Xfinity

City Of London
On-site
GBP 70,000 - 90,000
Yesterday
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Information Analyst

Surrey County Council

Pulborough
On-site
GBP 42,000
Yesterday
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Data Engineer with C# Dot net asp.net and SQL Server SSIS

Jas Gujral

City Of London
Hybrid
GBP 55,000 - 70,000
Yesterday
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Data Analyst

Jas Gujral

City Of London
On-site
GBP 40,000 - 45,000
Yesterday
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Subject Matter Expert - Data Science (Contractor Opportunity, Part-Time)

RS Consult

Birmingham
Remote
GBP 50,000 - 70,000
Yesterday
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Principal Data Scientist

Temenos

City Of London
Hybrid
GBP 150,000 - 200,000
Yesterday
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Data Analyst

HM REVENUE & CUSTOMS

Manchester
Hybrid
GBP 38,000
Yesterday
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Data Analyst

LexisNexis Legal

England
On-site
GBP 40,000 - 60,000
Yesterday
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Senior Data Scientist PhD – Canary Wharf

Jas Gujral

City Of London
On-site
GBP 100,000 - 125,000
Yesterday
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Pharmacy Services Data Analyst

NHS GREATER GLASGOW & CLYDE

Tees Valley
On-site
GBP 30,000 - 34,000
Yesterday
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Workday Configuration Analyst

Take-Two Interactive Software

City Of London
Hybrid
GBP 40,000 - 55,000
Yesterday
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Machine Learning Engineer - Search and Recommendation

Jd.Com

City Of London
On-site
GBP 60,000 - 80,000
Yesterday
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Senior Data Scientist

The Bbc

Salford
On-site
GBP 50,000 - 70,000
Yesterday
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Data Specialist

BT Group

City Of London
On-site
GBP 60,000 - 80,000
Yesterday
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Sr. AI Data Engineer (UK Remote)

Turnitin

Newcastle upon Tyne
Hybrid
GBP 60,000 - 80,000
Yesterday
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Data Analyst with VBA and SQL

Jas Gujral

City Of London
On-site
GBP 50,000 - 70,000
Yesterday
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Data Scientist

Global University Systems

City Of London
Hybrid
GBP 60,000 - 69,000
Yesterday
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Engineering Data Analyst - Aerospace

ZipRecruiter

Uxbridge
On-site
GBP 40,000 - 55,000
Yesterday
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Subject Matter Expert - Data Science (Contractor Opportunity, Part-Time)
RS Consult
Leeds
Remote
GBP 70,000 - 90,000
Full time
Yesterday
Be an early applicant

Job summary

A forward-thinking education company is seeking a Subject Matter Expert in Data Science to enhance online learning programmes. The role involves updating curriculum to align with industry standards, auditing materials, and incorporating current trends. Candidates should have advanced qualifications in Data Science and a strong track record in applying data science techniques. Join a globally diverse team in a mission-driven organization focused on closing the digital skills gap while enjoying a flexible remote-first work environment.

Benefits

Flexible working hours
Professional development opportunities
Supportive team environment

Qualifications

  • Minimum 5 years of professional experience in data science.
  • Proven ability to solve complex business problems using data science.
  • Experience in online course development or instruction is a plus.

Responsibilities

  • Review and update programme curriculum to align with industry practices.
  • Audit existing learning materials to identify enhancement areas.
  • Integrate new trends and case studies into the curriculum.

Skills

Advanced data science techniques
NLP expertise
Time series analysis
Communication skills
Collaboration skills

Education

Ph.D. or Masters in Data Science or related field

Tools

TensorFlow
XGBoost
Job description
Overview

As a Subject Matter Expert in Data Science at FourthRev, you will play a vital role in keeping an already-developed online learning programme at the forefront of industry and academic relevance. Leveraging your expertise, you will review, update, and enhance course content, ensuring that learners continue to gain cutting-edge, employable skills in a rapidly evolving area of the digital economy. What your day to day will look like with us

Responsibilities
  • Review and update programme curriculum to ensure continued alignment with current industry practices and tools, with a focus on supervised learning, NLP, agentic AI, and time series analysis and forecasting.
  • Audit existing learning materials (lectures, tutorials, assessments, projects) to identify areas for refresh or enhancement.
  • Integrate new industry trends and case studies to ensure learners can apply data science concepts to real-world problems.
  • Refine and adapt assessments, assignments, and project-based activities to maintain their challenge, clarity, and career relevance.
  • Update and record tutorials or demonstrations, showcasing new tools, techniques, and methodologies in practice.
  • Collaborate with the product development team and faculty partners to adjust learning pathways where needed, ensuring learner journeys remain clear, engaging, and outcome-focused.
  • Provide critical industry perspectives during review cycles and workshops, ensuring the course reflects current and emerging data science practices.
  • Contribute updated content such as code snippets, algorithms, and datasets to enrich learning activities.
  • Champion FourthRev's commitment to continuous learning, employability outcomes, and academic-industry integration.
Qualifications
  • Advanced degree (Ph.D. or Masters) in Data Science, Computer Science, Business Analytics, or a related field; Minimum 5 years of professional experience in data science with a focus on NLP and time series analysis.
  • Proven track record of employing advanced data science techniques to solve complex business problems.
  • Previous educational or training experience is a plus, especially in online course development or instruction.
  • Hands-on experience with tools and platforms like TensorFlow, XGBoost, and other ML frameworks.
  • Strong communication and collaboration skills.
  • Ability to translate complex technical concepts into understandable and actionable insights for learners.
  • Proficient in designing and crafting real-world problems and scenarios for project-based learning.
  • An innovative mindset with a passion for continuous learning and growth.
  • Familiarity with online learning platforms and tools.
Additional Information
  • You'll tackle unique and challenging opportunities and embrace the unknown, supported by an amazing and talented team of professionals who genuinely care and want you to succeed.
  • Your voice matters. We believe that people matter and that our success as an organisation is driven by the people within it.
  • You'll become part of a greater community. We\'re passionate about enabling the growth of others, mentorship, lifelong learning, supporting learners in the digital economy and other causes.
  • We are a globally diverse team with colleagues spanning different time zones including the U.K., Australia and South Africa. Let us know where you are, we will see if we can make it work!
  • Contribute to a programme already making a global impact and help it evolve with the industry.
  • Be part of a mission-driven team closing the digital skills gap worldwide.
  • Flexible, remote-first working environment with strong emphasis on professional development and wellbeing.
  • Join a global, diverse, and supportive team where your expertise will directly shape learner outcomes.
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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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