Data Scientist

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.

About Upl

UPL is focused on emerging as a premier global provider of total crop solutions designed to secure the world’s long-term food supply. Winning farmers hearts across the globe, while leading the way with innovative products and services that make agriculture sustainable, UPL is the fastest growing company in the industry. UPL has a rich history of 50+ years with presence in 120+ countries. Based on the recognition that humankind is one community, UPL’s overarching commitment is to improve areas of its presence, workplace, and customer engagement.

Our purpose is ‘OpenAg’. An Open agriculture network that feeds sustainable growth for all. No limits, no borders.

In order to create sustainable food chain, UPL is now working to build a future-ready, analytics-driven organization that will be even more efficient, more innovative, and more agile. We are setting up “Digital and Analytics” CoE to work on some disruptive projects that will have an impact that matters for the planet. It will help us reimagine our business to ensure the best outcomes for growers, consumers, employees, and our planet. 

Work with us to get exposure to cutting-edge solutions in digital & advanced analytics, mentorship from senior leaders & domain experts, and access to a great work environment.

JOb Responsibilities

The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists.

• Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation
• Lead teams of 2-3 associate data scientists in the use case building and delivery process
• Can communicate complex technical concepts to both technical and non-technical audience
• Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models
• Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same
  
  

Required Education And Experience

• Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field
• Advanced level programming skills in at least 1 coding language (R/Python/Scala)
• Practical experience of developing advanced statistical and machine learning models
• At least 2 years of relevant analytics experience
• Experience in using large database systems preferred
• Has developed niche expertise in at least one functional domain
  
  

Required Skills

• Ability to work well in agile environments in diverse teams with multiple stakeholders
• Experience of leading small teams
• Able to problem solve complex problems and break them down into simpler parts
• Ability to effectively communicate complex analytical and technical content
• High energy and passionate individual who can work closely with other team members
• Strong entrepreneurial drive to test new out of the box techniques
• Able to prioritize workstreams and adopt an agile approach
• Willing to adopt an iterative approach; experimental mindset to drive innovation
  
  

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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