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Data Scientist Intern

Reads like a ML Engineer role: putting models into production.

Pay
$20–45/hour — pay source
Additional Information Salary for this position ranges between $20 - $45 hourly. What We Offer:
Read the full posting
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Internship — employment source
Employment type in the employer’s posting: Intern
From the employer’s posting

Before you apply

New graduates
For current studentsJob title: Data Scientist Intern

What you’ll work on

Full posting
  • Gather, transform, and process large structured and unstructured datasets for model training

  • Develop and validate ML models for placement predictions

  • Develop methodologies to integrate and analyze varied data types

  • Document research findings, model limitations, and strategic recommendations

From the employer’s posting
Gather, transform, and process large structured and unstructured datasets for model training.
Develop and validate different ML models for placement predictions.
Develop methodologies to integrate and analyze varied data types.
Document research findings, model limitations, and strategic recommendations for future development.

What you’ll bring

All qualifications

Core experience

  • Enrolled as a PhD candidate in data science, quantitative genetics, computer science or related field
  • Demonstrated experience in AI/ML model development and evaluation
  • Proven ability to handle large, complex datasets efficiently
  • Strong Python programming skills and other relevant languages
  • Hands-on experience with R&D data such as genetic, phenotypic trial, or environmental data
Qualification wording
PhD candidate in data science, quantitative genetics, computer science or related field.
Demonstrated experience in AI/ML model development and evaluation.
Proven ability to handle large, complex datasets efficiently.
Strong programming skills in Python (preferred) and other relevant languages.
Hands-on experience with R&D data, such as genetic data, phenotypic trial data, or environmental data, etc.
Education & alternatives
Required - PhD candidate in data science, quantitative genetics, computer science or related field. - Demonstrated experience in AI/ML model development and evaluation.

About Syngenta Group

At Syngenta Vegetables and Flowers, we're cultivating tomorrow's variety through innovative breeding that brings vibrant colors to gardens and nutritious vegetables to tables worldwide.

In the employer’s words · Read in context

Apply at Syngenta Group

Posting record

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Actively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 29, 20266 days ago
Recorded sightings
7
Last seen by us
Nov 4, 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

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 6

Similar jobs usually come down between day 6 and day 69.

From 4,301 similar postings that came down. Coming down is not always a hire.

Syngenta Group is hiring

19 open jobs

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

  • Hiring is picking up
  • Takes jobs down quickly
  • 16% of open jobs were reposted
Hiring record

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  • Python
Where the posting names them
- Proven ability to handle large, complex datasets efficiently. - Strong programming skills in Python (preferred) and other relevant languages. - Hands-on experience with R&D data, such as genetic data, phenotypic trial data, or environmental data, etc.

Your next step

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About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

Job Description

At Syngenta, our goal is to build the most collaborative and trustworthy team in agriculture, providing top-quality seeds and innovative crop protection solutions that improve farmers' success. We invite you to help shape the future of agriculture and play a role in safely feeding the world while caring for our planet. 

Syngenta's Vegetables R&D team is seeking a Data Scientist Intern in Raleigh, NC. This summer intern will work on cutting-edge projects developing ML models for data-driven recommendations to support product advancement and placement decisions.

As part of Syngenta's Emerging Talent Program, you will gain hands-on experience, exposure to day-to-day business operations, and opportunities to apply your academic knowledge to real-world challenges while developing your professional skills. 

Estimated Duration: May 2027– August 2027

Accountabilities 

  • Collaborate with data scientists on the product advancement and placement analytics team for research initiatives.
  • Gather, transform, and process large structured and unstructured datasets for model training.
  • Develop methodologies to integrate and analyze varied data types.
  • Develop and validate different ML models for placement predictions.
  • Document research findings, model limitations, and strategic recommendations for future development.

Qualifications

Required  

  • PhD candidate in data science, quantitative genetics, computer science or related field.
  • Demonstrated experience in AI/ML model development and evaluation.
  • Proven ability to handle large, complex datasets efficiently.
  • Strong programming skills in Python (preferred) and other relevant languages.
  • Hands-on experience with R&D data, such as genetic data, phenotypic trial data, or environmental data, etc.

Desired 

  • Good written and oral communication skills with a proactive, collaborative approach.
  • Proven ability to work effectively in cross-functional teams.
  • Strong analytical curiosity with ability to investigate complex problems and deliver innovative solutions.

Additional Information

Salary for this position ranges between $20 - $45 hourly.

What We Offer:  

  • A culture that celebrates belonging and collaboration, promotes professional development and strives for a work-life balance that supports the team members.  
  • ⁠Competitive wages. 
  • Ongoing career development resources. 
  • The opportunity to work on meaningful, innovative projects that solve problems. 

Syngenta is committed to creating a culture that celebrates belonging and collaboration, promotes professional development, and strives for a work-life balance that supports the team members  

Syngenta has been ranked as a top employer by Science Journal. Learn more about our team and our mission here: https://www.youtube.com/watch?v=OVCN_51GbNI  

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.  

#LI-DNI

Company Description

About Syngenta 

At Syngenta Vegetables and Flowers, we're cultivating tomorrow's variety through innovative breeding that brings vibrant colors to gardens and nutritious vegetables to tables worldwide. We combine centuries of seed heritage with cutting-edge innovation to develop resilient, high-performing varieties that thrive in varied climates. Join us in shaping the future of sustainable horticulture, where every seed holds the potential to enhance lives through better nutrition and natural beauty. 

Source details

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Pay
Additional Information Salary for this position ranges between $20 - $45 hourly. What We Offer:
Location & working pattern

Raleigh, NC, United States

Working pattern and location restrictions need checking in the full posting.

Work authorization

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