UPL Limited (NSE: UPL & BSE: 512070, LSE: UPLL) is a global provider of sustainable agriculture products and solutions, with annual revenue exceeding $6bn. We are a purpose-led company. Through OpenAg®, UPL is focused on accelerating progress for the food system. We are building a network that is reimagining sustainability, redefining the way an entire industry thinks and works – open to fresh ideas, innovation, and new answers as we strive towards our mission to make every single food product more sustainable. As one of the largest agriculture solutions companies worldwide, our robust portfolio consists of biologicals and traditional crop protection solutions with more than 14,000 registrations. We are present in more than 130 countries, represented by more than 10,000 colleagues globally. For more information about our integrated portfolio of solutions across the food value chain including seeds, post-harvest, as well as physical and digital services, please visit upl-ltd.com and follow us on LinkedIn, Twitter, Instagram and Facebook.

JOb Responsibilities:

The Data Science Head will use both management experience and data science expertise to lead teams of data scientists across multiple Analytics, Data Science & GenAI projects. This person will be an integral part of conceptualizing, scoping, and delivering complex analytics projects. They will oversee the development, testing and maintenance of analytical models which mimic business decisions. This person will work closely with the leadership and business units in delivering impact through analytics. Additionally, this person will be responsible for continuously identifying opportunities to improve the ways of working and structuring within the analytics centre of excellence.

• Define and manage analytics, Data Science & GenAI strategy across multiple businesses of UPL
• Provides Machine Learning & Artificial Intelligence expertise in the process of model development, refining and implementation in a variety of analytics problems spread across a variety of domains
• Oversees large teams of associate and mid-level data scientists, de-bottlenecking issues related to project execution across Manufacturing, Supply Chain Management, Marketing, R&D, Commercial, Sales & Legal
• Work closely with translators and business teams to develop and implement analytics solutions
• Collaborate with data engineering, application Engineering & Enterprise architects’ teams to implement and deploy scalable solutions
• Communicate results to diverse technical and non-technical audiences
• Be on top of latest research, publications and best practices in the field of Data Science, Machine Learning, Deep Learning, Natural Language Processing, MLOps and Generative AI
• Actively drive a culture of knowledge building and sharing within the team. Encourage continuous innovation and out of the box thinking.

REQUIRED EDUCATION AND EXPERIENCE:

• Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field
• Experience in programming in at least 2 languages
• Sound theoretical and practical knowledge of working with advanced statistical algorithms, including machine learning, deep learning, MLOPS, Artificial Intelligence Algorithms and exposure to GenAI, agentic workflows and RAG
• At least 12 years of experience of working in analytics
• At least 4 years of experience managing analytics teams. Experience in developing teams from
  scratch a plus.
• Strong business understanding. Worked in developing analytics solutions in 3-4 domains

• Required Skills:

• Ability to lead teams in agile environments, with multiple stakeholders involved
• Ability to effectively communicate complex technical content to non-technical audience
• Successful track record of structuring and leading complex analytics projects
• Proactive and passionate about resolving pain points through great design
• Sees value in iterative approach to model development
• Strong sense of ownership and ability to build consensus
• Believes in culture of transparency and trust

Location: Bangalore

What’s in it for you?

• Disruptive projects:  Work on ‘breakthrough’ digital-and-analytics projects to enable UPL’s vision of building a future ready organization. It involves deploying solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us.

• Cross functional leadership exposure: Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment

• Environment fostering professional and personal development: Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPL's D&A academy will help in accelerating growth opportunities.

Come join us in this transformational journey!

Let’s collectively Change the game with Digital & Analytics!

We are one team, for maximum impact. One team with shared goals. We all play for the team and no one plays against the team. We have a laser-like focus on what our customers need and want, on anticipating their future needs and on how we can create innovative solutions and experiences for them.

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