Back to jobs

Junior Data Scientist

Pay
Pay not listed
Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting
Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
Product & Engineering — team source
Department: Product & Engineering
From the employer’s posting

Before you apply

New graduates
Entry levelJob title: Junior Data Scientist
Sponsorship
Visa sponsorship not confirmed — sponsorship source
Will you now or will you in the future require employment visa sponsorship?
From the employer’s application form

What you’ll work on

Full posting
  • Assist in designing, building and maintaining data science models and pipelines

  • Analyse complex datasets to extract insights, trends and patterns

  • Partner with product and engineering teams to put data products into production

  • Validate and clean data sources to keep models and reporting reliable

  • Present project outcomes and analytical findings to team members and stakeholders

From the employer’s posting
Assist in designing, building, and maintaining data science models and pipelines
Analyze complex datasets to extract meaningful insights, trends, and patterns
Partner with product and engineering teams to integrate data products into production systems
Validate and clean data sources to ensure high reliability and consistency across models and reporting
Present project outcomes and analytical findings clearly to team members and key stakeholders

About EDITED

We help retailers increase margins, generate more sales, and drive better business outcomes through AI-powered market and enterprise intelligence that fuels automation.

In the employer’s words · Read in context · Company website ↗

Apply at EDITED

Posting record

Report an error

Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 3, 20262 days ago
Recorded sightings
3
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 2

Early. Similar jobs usually come down between day 7 and day 56.

From 10,180 similar postings that came down. Coming down is not always a hire.

EDITED is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • NumPy
  • pandas
  • scikit-learn
Where the posting names them
- Solid understanding of foundational data science concepts and statistical methods. - Proficiency with Python and standard data science libraries (e.g. Pandas, NumPy, Scikit-Learn). - Strong problem-solving ability and enthusiasm for learning new technologies.
- 1+ years of experience (or strong academic/project background) in data analysis or machine learning. - Good working knowledge of Python. - Understanding of core machine learning concepts and statistical analyses.

Your next step

Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.

Applying through Ashby

  • No account needed. “Autofill from resume” at the top of the form fills the key fields from your file.

Already applied? Track this application

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,826.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

About EDITED

EDITED is the world’s leading AI-driven retail intelligence platform. We empower the world’s most successful brands and retailers with real-time decision making power. 

By connecting internal business and external market data, EDITED infuses intelligence into every retail decision. We help retailers increase margins, generate more sales, and drive better business outcomes through AI-powered market and enterprise intelligence that fuels automation. 

At EDITED, we foster a dynamic and inclusive culture where creativity thrives and collaboration is at the heart of everything we do. Our environment is dynamic and supportive, encouraging team members to take initiative, innovate, and continuously grow. We value diversity, transparency, and a shared commitment to excellence, creating a workplace where everyone's voice is heard and contributions are recognised. 

We believe that achieving a positive work-life balance is key to driving innovation and success. Our flexible working options—including hybrid working, flexible hours and a work from anywhere policy—empower our team to perform at their best. 

The Opportunity

We're seeking a motivated and curious Junior Data Scientist to join our team. In this role, you'll work alongside experienced data scientists and engineers to deliver actionable insights and build data-driven solutions across EDITED. You'll learn key methodologies, contribute to impactful projects, and develop your technical and analytical skills in a supportive environment.

What You'll Do As A Junior Data Scientist:

  • Deliver Data Science Projects: Assist in designing, building, and maintaining data science models and pipelines to solve core business problems.

  • Data Analysis & Exploration: Analyze complex datasets to extract meaningful insights, trends, and patterns supporting retail intelligence.

  • Collaborate & Learn: Work closely with senior team members, receiving mentorship and feedback to continuously refine your technical skills.

  • Cross-Functional Collaboration: Partner with product and engineering teams to integrate data products into production systems.

  • Maintain Data Quality: Validate and clean data sources to ensure high reliability and consistency across models and reporting.

  • Communicate Findings: Present project outcomes and analytical findings clearly to team members and key stakeholders.

What You'll Bring:

  • A strong STEM degree (including Data Science, Computer Science, Mathematics/Statistics, etc), or equivalent experience.

  • Solid understanding of foundational data science concepts and statistical methods.

  • Proficiency with Python and standard data science libraries (e.g. Pandas, NumPy, Scikit-Learn).

  • Strong problem-solving ability and enthusiasm for learning new technologies.

  • Clear written and verbal communication skills.

  • Curiosity to learn in an ever changing, fast paced environment.

What We’re Looking For In A Junior Data Scientist

It’s important for us to look for candidates that strive for excellence with a positive attitude, a strong sense of ownership and work ethic, and a passion to consistently develop and improve their knowledge and skillset. If you’re excited about the role of Junior Data Scientist and the opportunity to work at EDITED, we encourage you to apply even if you only match some, rather than all, of the requirements.

Essential:

  • 1+ years of experience (or strong academic/project background) in data analysis or machine learning.

  • Good working knowledge of Python.

  • Understanding of core machine learning concepts and statistical analyses.

What We Offer You As A Junior Data Scientist

We value our team and to attract exceptional people, we offer an excellent package! This year, we were recognised as one of the top companies to work for in the UK.

  • You can utilise our flexible working policy to ensure you can work around your schedule - this means starting & finishing when it suits you best!

  • At EDITED we are set up to work remotely

  • Enhanced parental leave policy

  • 25 days annual leave + public holidays (and an extra day for every year at EDITED)

  • Season Ticket Loan & Cycle to Work schemes

  • Access to an Employee Assistance Programme

  • Gifts for work anniversaries and big life events

  • Dog friendly office

We do not use AI to source, screen, evaluate, or make decisions about candidates - every hiring decision is made by our team. We use Ashby, our applicant tracking system, which includes AI-assisted interview notetaking and automation for scheduling interviews and sending routine emails. These tools support our hiring process but do not make hiring decisions. We aim to be an equal opportunities employer and we are determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, or race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

London, UK

At EDITED, we foster a dynamic and inclusive culture where creativity thrives and collaboration is at the heart of everything we do. Our environment is dynamic and supportive, encouraging team members to take initiative, innovate, and continuously grow. We value diversity, transparency, and a shared commitment to excellence, creating a workplace where everyone's voice is heard and contributions are recognised. We believe that achieving a positive work-life balance is key to driving innovation and success. Our flexible working options—including hybrid working, flexible hours and a work from anywhere policy—empower our team to perform at their best. The Opportunity
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.