Job Requirements
About Godrej Industries Group (GIG)
At the Godrej Industries Group, we are privileged to serve over 1.1 billion consumers globally through our businesses with market leadership positions in the consumer products, real estate, agriculture, financial services and chemicals industries.
https://www.godrejindustries.com/
About Godrej Consumer Products Limited (GCPL)
Godrej Consumer Products is a leading emerging markets company. As part of the over 125-year young Godrej Group, we are fortunate to have a proud legacy built on the strong values of trust, integrity and respect for others. At the same time, we are growing fast and have exciting, ambitious aspirations.
Today, our Group enjoys the patronage of 1.2 billion consumers globally, across different businesses. We rank among the largest Household Insecticide and Hair Care players in emerging markets. In Household Insecticides, we are the leader in India, the second largest player in Indonesia and are expanding our footprint in Africa. We are the leader in serving the Hair Care needs of women of African descent, the number one player in Hair Colour in India and Sub-Saharan Africa, and among the leading players in Latin America. We rank number two in Soaps in India and are the number one player in Air Fresheners and Wet Tissues in Indonesia.
Innovation is a key driver of our strategy, and we are constantly looking to delight our consumers with exciting, superior quality products at affordable prices. We were the highest ranked Indian company on Forbes list of The World's 100 Most Innovative Growth Companies 2015, for the second year in a row.
https://www.godrejcp.com/
Our Analytics Team
As a data scientist, you will be a part of the analytics team that develops data driven insights across cross functional teams across all GCPL's countries to drive efficiency and make strategic business decisions. You will research, design and implement cutting edge algorithms to analyse diverse sources of data to achieve the target outcomes
About The Role
- End-to-End Project Development: Lead the conceptualization, development, and execution of data science projects across various functions and geographies within GCPL, ensuring alignment with business objectives and strategies.
- Cross-functional Collaboration: Foster effective collaboration with internal stakeholders such as marketing, sales, supply chain, and finance to identify data-driven opportunities, address business challenges, and deliver actionable insights.
- Vendor Management: Engage with external vendors and partners to leverage specialized expertise, tools, and resources for advanced analytics projects, ensuring quality deliverables within established timelines and budgets.
- Performance Monitoring: Establish metrics and KPIs to assess the performance and impact of data science initiatives, tracking progress against goals and recommending adjustments as necessary to optimize outcomes.
- Continuous Improvement: Stay abreast of industry trends, emerging technologies, and best practices in data science, actively seeking opportunities to enhance the company's analytical capabilities and drive innovation.
- Team Management: Mentor junior data scientists, providing guidance on project execution, technical skills development, and career growth.
Education
- Educational Background: Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or related disciplines.
- Professional Experience: Minimum of 5-8 years of experience in data science, preferably within the FMCG industry or related sectors.
Experience
- Technical Proficiency: Proficient in programming languages such as Python, R, or SQL, with hands-on experience in statistical analysis, machine learning, data visualization, and predictive modeling techniques.
- Cloud for Machine Learning: Experience working with cloud platforms (AWS, GCP, or Azure), especially with ML services like SageMaker, Databricks or Azure ML Studio for scalable and production-grade solutions.
- MLops Understanding: Familiarity with MLops (Machine Learning Operations) principles and practices, including model deployment, monitoring, versioning, and automation, to ensure scalability, reliability, and performance of machine learning models in production environments.
- Proven ownership of end-to-end delivery in cross-functional environments (platform + BT/IT + business), with examples of resolving blockers.
- Strong model review and validation capability (evaluation metrics, robustness, leakage, business sign-off).
- Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret complex data sets, extract actionable insights, and translate findings into business recommendations.
- Communication Skills: Excellent verbal and written communication skills, with the ability to effectively convey technical concepts to non-technical stakeholders and influence decision-making at all levels of the organization.
- Business Acumen: Sound understanding of FMCG business dynamics, consumer behavior, market trends, and competitive landscape, coupled with a strategic mindset and commercial awareness.
- Adaptability: Proven ability to thrive in a fast-paced and dynamic environment, managing multiple priorities and stakeholders while maintaining a focus on delivering high-quality results.
- Deep Learning Frameworks: Exposure to deep learning frameworks such as TensorFlow, PyTorch, or Keras, with application in areas like time-series forecasting.
- AI Productization: Experience in translating data science models into business products or dashboards embedded within operational processes.
- Generative AI & LLM Integration: Experience architecting and scaling LLM-driven workflows for both unstructured and structured data—e.g., embedding large text corpora, generative SQL query development, deploying RAG pipelines—using frameworks like Hugging Face Transformers, LangChain, or similar
- Agentic AI & Autonomous Agents: Familiarity with designing, building, and deploying agentic AI frameworks (e.g., LangChain Agents, Agency OS, AutoGPT) to automate complex, multi-step business processes and enable self-driving data workflows
Work Experience
4-6 years
Benefits
Be an equal parent
Childcare benefits for the birthing parent, commissioning parent (in case of surrogacy) or adoptive parent, and their partners
- 6 months of paid leave for primary caregivers, flexible work options on return for primary caregivers
- 2 months paid leave for secondary caregivers
- Caregiver travel for primary caregivers to bring a caregiver and children under a year old, on work travel
- Coverage for childbirth and fertility treatment
No place for discrimination at Godrej
Gender-neutral anti-harassment policy
Same sex partner benefits at par with married spouses
Coverage for gender reassignment surgery and hormone replacement therapy
Community partnerships and advocacy
Persons with Disability (PwD) care
We Are Selfish About Your Wellness
Comprehensive health insurance plans, as well as accident coverage for you and your family, with top-up options
Elder care for those who might need to extend support to senior family members
Preventative healthcare support
Outpatient Department (OPD) coverage, including vaccinations, dental, vision, etc.
Uncapped sick leave
Flexible work options, including remote working and part-time work
Mental wellness and self-care programmes, resources and counselling
Celebrating wins, the Godrej Way
Structured recognition platforms for individual, team and business-level achievements
Digital and offline instant recognition platforms
An inclusive Godrej
Before you go, there is something important we want to highlight. There is no place for discrimination at Godrej. Diversity is the philosophy of who we are as a company. And it has been over a century. It's not just in our DNA and nice to do. Being more diverse - especially having our team members reflect the diversity of our businesses and communities - helps us innovate better and grow faster. We hope this resonates with you.
We take pride in being an equal opportunities employer. We recognise merit and encourage diversity. We do not tolerate any form of discrimination on the basis of nationality, race, colour, religion, caste, gender identity or expression, sexual orientation, disability, age, or marital status and ensure equal opportunities for all our team members.
If this sounds like a role for you, apply now!
We look forward to meeting you.
