Data Scientist

Pune - India

Monthly Salary: Not Disclosed

Posted on: 18 hours ago

Vacancies: 1 Vacancy

Job Summary

Role purpose:

Lead and grow the P&S AMEA Data Science solution team to develop and deliver AI/ML products and solutions.
Understand the P&S landscape of AMEA and comprehend the related data analytics and forecasting needs from functions/teams within AMEA.
Align AI/ML initiatives with business goals and ensure high-quality product delivery and business outcomes.
Drive AI/ML innovation to solve business challenges.
Spread the AI/ML awareness to drive Data Driven Culture in the organization.
Foster collaboration across teams and departments.
Mentor team members and promote skill development.

Stay ahead of AI/ML trends and technologies and mentor team members and promote capability development knowledge sharing and ease of doing business.

Critical success factors & key challenges:

Balance technical expertise with strong leadership skills.
Translate complex AI concepts into business value.
Manage multiple projects and priorities effectively.
Adapt engineering processes and ways of working to rapidly evolving AI technologies and methodologies.
Build and maintain cross-functional relationships.

Deliver measurable business impact through AI/ML solutions.

Knowledge experience & capabilities:

Minimum 5 years of hands-on experience in AI/ML development and implementation with at least one major AI/ML product delivered as a lead.
At least 3 years in a product engineering leadership or management role demonstrating progressive responsibility.
Comprehensive knowledge of the AI/ML product lifecycle including:
- Data discovery and engineering
- ML model development training and tuning
- Inference and insights generation
- Visualization and reporting
- Implementation of feedback loops for continuous improvement
Proven track record in project management with proficiency in Agile methodologies.
Experience working in diverse multi-cultural environments collaborating with both internal and external stakeholders.
Familiarity with industry-specific AI/ML applications preferably in agriculture or life sciences.
Experience in mentoring and developing technical teams.

Demonstrated ability to translate complex AI/ML concepts into business value propositions.

Critical technical professional and personal capabilities:

Strong problem-solving and analytical skills.
Excellent communication and interpersonal abilities with team members SMEs and other business/function leads.
Ability to simplify complex technical concepts.
Project planning and execution skills.
Adaptability and quick learning of new technologies.
Ability to work under pressure and meet deadlines.

Fluent in written & verbal English.

Qualifications :

Bachelors degree in Data Science AI/ML or in Computer Science/related field (Masters preferred) with relevant credentials in AI/ML.
Deep understanding of AI/ML concepts algorithms and applications with knowledge of programming languages (Python R Java).
Familiarity with ML frameworks and tools across the product design engineering testing and delivery phases.
Familiarity of production supply chain and related business processes.

Additional Information :

Note: 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 gender identity marital or veteran status disability or any
other legally protected status.

page

Work :

Employment Type :

Full-time

Role purpose:Lead and grow the P&S AMEA Data Science solution team to develop and deliver AI/ML products and solutions.Understand the P&S landscape of AMEA and comprehend the related data analytics and forecasting needs from functions/teams within AMEA.Align AI/ML initiatives with business goals and...

Role purpose:

Lead and grow the P&S AMEA Data Science solution team to develop and deliver AI/ML products and solutions.
Understand the P&S landscape of AMEA and comprehend the related data analytics and forecasting needs from functions/teams within AMEA.
Align AI/ML initiatives with business goals and ensure high-quality product delivery and business outcomes.
Drive AI/ML innovation to solve business challenges.
Spread the AI/ML awareness to drive Data Driven Culture in the organization.
Foster collaboration across teams and departments.
Mentor team members and promote skill development.

Stay ahead of AI/ML trends and technologies and mentor team members and promote capability development knowledge sharing and ease of doing business.

Critical success factors & key challenges:

Balance technical expertise with strong leadership skills.
Translate complex AI concepts into business value.
Manage multiple projects and priorities effectively.
Adapt engineering processes and ways of working to rapidly evolving AI technologies and methodologies.
Build and maintain cross-functional relationships.

Deliver measurable business impact through AI/ML solutions.

Knowledge experience & capabilities:

Minimum 5 years of hands-on experience in AI/ML development and implementation with at least one major AI/ML product delivered as a lead.
At least 3 years in a product engineering leadership or management role demonstrating progressive responsibility.
Comprehensive knowledge of the AI/ML product lifecycle including:
- Data discovery and engineering
- ML model development training and tuning
- Inference and insights generation
- Visualization and reporting
- Implementation of feedback loops for continuous improvement
Proven track record in project management with proficiency in Agile methodologies.
Experience working in diverse multi-cultural environments collaborating with both internal and external stakeholders.
Familiarity with industry-specific AI/ML applications preferably in agriculture or life sciences.
Experience in mentoring and developing technical teams.

Demonstrated ability to translate complex AI/ML concepts into business value propositions.

Critical technical professional and personal capabilities:

Strong problem-solving and analytical skills.
Excellent communication and interpersonal abilities with team members SMEs and other business/function leads.
Ability to simplify complex technical concepts.
Project planning and execution skills.
Adaptability and quick learning of new technologies.
Ability to work under pressure and meet deadlines.

Fluent in written & verbal English.

Qualifications :

Bachelors degree in Data Science AI/ML or in Computer Science/related field (Masters preferred) with relevant credentials in AI/ML.
Deep understanding of AI/ML concepts algorithms and applications with knowledge of programming languages (Python R Java).
Familiarity with ML frameworks and tools across the product design engineering testing and delivery phases.
Familiarity of production supply chain and related business processes.

Additional Information :

page

Work :

Employment Type :

Full-time

Key Skills

Laboratory Experience
Immunoassays
Machine Learning
Biochemistry
Assays
Research Experience
Spectroscopy
Research & Development
cGMP
Cell Culture
Molecular Biology
Data Analysis Skills

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About Company

Syngenta Group

To help feed 10 billion people while reducing emissions and improve biodiversity. This is our mission as the global agriculture technology leader. With 59,000 employees in more than 100 countries and hundreds of thousands of agricultural partners worldwide, we are committed to transfo ... View more

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