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.

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
  
  

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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