Time since we first saw it
Day 33
Similar jobs usually come down between day 6 and day 69.
From 4,296 similar postings that came down. Coming down is not always a hire.
Data Scientist
Reads like a ML Engineer role: putting models into production.
Pune, Asia, India
Live, first seen by us 33 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingLead DS and ML predictive analytics solutions, owning technical strategy and delivery for data science projects of varying complexity.
Serve as technical lead for data science squads — driving architecture decisions, code quality standards, and delivery excellence across the team.
Build and deploy predictive models and lead technical workstreams
Set up CI/CD, model versioning and automated retraining pipelines
Establish model monitoring and drift detection in production
Translate business problems into data science problem statements
Mentor junior and mid-level data scientists through code reviews
From the employer’s posting
Lead DS and ML predictive analytics solutions, owning technical strategy and delivery for data science projects of varying complexity.
Serve as technical lead for data science squads — driving architecture decisions, code quality standards, and delivery excellence across the team.
Build and deploy predictive models and analytics capabilities, leading technical workstreams independently
Implement CI/CD practices for model deployment, versioning, and automated retraining pipelines.
Establish model monitoring, drift detection, and performance tracking frameworks in production.
translating business problems into clear data science problem statements
Mentor and develop junior and mid-level data scientists through code reviews, knowledge sessions, and project coaching.
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, or related quantitative field
- Strong SQL skills and experience with cloud data platforms (AWS, Azure, Databricks)
- 3-5 years professional experience delivering production data science solutions
- Experience with ML frameworks, version control (Git), and CI/CD for model deployment
- Demonstrated leadership through mentoring, technical presentations, or cross-functional project ownership
Preferred experience
- Master's preferred
Qualification wording
Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, or related quantitative field (Master's preferred)
Strong SQL skills and experience with cloud data platforms (AWS, Azure, Databricks)
3-5 years professional experience delivering production data science solutions
Experience with ML frameworks, version control (Git), and CI/CD for model deployment
Demonstrated leadership through mentoring, technical presentations, or cross-functional project ownership
Education & alternatives
Qualifications - Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, or related quantitative field (Master's preferred) - 3-5 years professional experience delivering production data science solutions
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 1, 202633 days ago
- Recorded sightings
- 276
- 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
Syngenta Group is hiring
19 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- ML Engineer hiring is picking up
- Takes jobs down quickly
- 16% of open jobs were reposted
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
- SQL
- AWS
- Azure
- Databricks
- NumPy
- pandas
- PyTorch
- scikit-learn
- TensorFlow
Where the posting names them
- Proven track record leading analytical projects with measurable business impact - Advanced proficiency with Python ecosystem (scikit-learn, TensorFlow/PyTorch, pandas, numpy) - Strong SQL skills and experience with cloud data platforms (AWS, Azure, Databricks)
- Advanced proficiency with Python ecosystem (scikit-learn, TensorFlow/PyTorch, pandas, numpy) - Strong SQL skills and experience with cloud data platforms (AWS, Azure, Databricks) - Experience with ML frameworks, version control (Git), and CI/CD for model deployment
Platform and MLOps - Architect and maintain ML infrastructure using cloud platforms (Databricks, AWS, Azure) and orchestration tools. - Implement CI/CD practices for model deployment, versioning, and automated retraining pipelines.
Your next step
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Applying through SmartRecruiters
- Uploading your resume fills in the application form for you, so check what it filled before you send.
Already applied? Track this application
Has Syngenta Group posted this job before?
Yes. We’ve followed 2 other Data Scientist jobs there since July 2026. 2 came down, usually after about 8 days.
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
Job Description
Position Summary:
- Lead DS and ML predictive analytics solutions, owning technical strategy and delivery for data science projects of varying complexity.
- Serve as technical lead for data science squads — driving architecture decisions, code quality standards, and delivery excellence across the team.
- Bridge business and technical teams by translating complex analytical findings into clear, actionable insights that influence strategic decisions.
- Foster a culture of continuous learning by mentoring data scientists, promoting best practices in MLOps, and championing innovation in analytical methods
Accountabilities:
Model Development & Analytics Leadership
- Build and deploy predictive models and analytics capabilities, leading technical workstreams independently
- Perform advanced data analysis and EDA to develop fact-based insights and strategic recommendations
- Lead integration of traditional and nontraditional data sources into production analytical workflows
- Drive integration of structured and unstructured data sources into robust, scalable analytical pipelines.
Platform and MLOps
- Architect and maintain ML infrastructure using cloud platforms (Databricks, AWS, Azure) and orchestration tools.
- Implement CI/CD practices for model deployment, versioning, and automated retraining pipelines.
- Establish model monitoring, drift detection, and performance tracking frameworks in production.
- Promote reusable components, shared libraries, and standardised development environments across the team.
Leadership & Stakeholder Management
- Act as technical point of contact for stakeholders — translating business problems into clear data science problem statements.
- Lead cross-functional working groups with business owners, data engineers, and domain experts.
- Mentor and develop junior and mid-level data scientists through code reviews, knowledge sessions, and project coaching.
- Facilitate agile ceremonies (sprint planning, retrospectives, technical demos) and hold the team accountable to delivery commitments.
Strategic Contribution
- Identify and prioritise high-impact AI/ML opportunities across Commercial domains (Marketing, Sales, Pricing).
- Build and share domain expertise, contributing to the development of team capability roadmaps.
- Influence tooling and platform strategy decisions based on emerging best practices and business requirements.
- Drive measurable business outcomes — framing model outputs in terms of ROI, efficiency gains, or revenue impact.
Qualifications
- Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, or related quantitative field (Master's preferred)
- 3-5 years professional experience delivering production data science solutions
- Proven track record leading analytical projects with measurable business impact
- Advanced proficiency with Python ecosystem (scikit-learn, TensorFlow/PyTorch, pandas, numpy)
- Strong SQL skills and experience with cloud data platforms (AWS, Azure, Databricks)
- Experience with ML frameworks, version control (Git), and CI/CD for model deployment
- Demonstrated leadership through mentoring, technical presentations, or cross-functional project ownership
Additional Information
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-Hybrid
Company Description
At Syngenta Group, we're a global community of 56,000 innovators across 90 countries, united by a 250-year legacy of agricultural excellence. As the world's most local agricultural technology partner, we create tailor-made solutions that transform farming while protecting our planet, driven by our commitment to innovation, ethics, and integrity. Through our inclusive environment and diverse perspectives, we pioneer breakthrough solutions for farmers, society, and future generations. Join our worldwide teams of agricultural pioneers in creating a more resilient and equitable food system for all.
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- Location & working pattern
Pune, Asia, India
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-Hybrid Company Description
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