Assistant Manager Quality Data Science & Analytics at Unilever

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

28 May, 26

Salary

0.0

Posted On

27 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Predictive Analytics, Power BI, Python, SQL, Machine Learning, Natural Language Processing, Data Modeling, KPI Development, Statistical Analysis, Generative AI, Change Management, Data Governance, Visualization, Excel, Project Management

Industry

Manufacturing

Description

Job Posting Title: Lead Quality Data Science & Analytics Specialist Location: UniOps Bangalore, About Unilever: Be part of the world’s most successful, purpose-led business. Work with brands that are well-loved around the world, that improve the lives of our consumers and the communities around us. We promote innovation, big and small, to make our business win and grow; and we believe in business as a force for good. Unleash your curiosity, challenge ideas and disrupt processes; use your energy to make this happen. Our brilliant business leaders and colleagues provide mentorship and inspiration, so you can be at your best. Every day, nine out of ten Indian households use our products to feel good, look good and get more out of life – giving us a unique opportunity to build a brighter future. Every individual here can bring their purpose to life through their work. Join us and you’ll be surrounded by inspiring leaders and supportive peers. Among them, you’ll channel your purpose, bring fresh ideas to the table, and simply be you. As you work to make a real impact on the business and the world, we’ll work to help you become a better you. JOB PURPOSE To lead the strategic development and optimization of analytics platforms within the Global Quality Supply Chain, delivering robust, scalable, and insight-driven solutions that elevate product quality and consumer satisfaction. This role blends deep technical expertise in data science, machine learning, and Power BI visualization with collaborative leadership and cross-functional project management. By translating complex business needs into actionable analytics, ensuring rigorous data governance, and embedding digital capabilities across workflows, the role drives measurable impact and fosters a culture of data-driven decision-making across the Quality organization. ROLE ACCOUNTABILITIES • Lead comprehensive data science, predictive analytics, and visualization projects to deliver scalable, evidence-based solutions that enhance Quality and Consume outcomes. • Lead in the partnership with Quality business teams to understand requirements, identify opportunities, and develop analytics and AI-driven solutions. • Design, prototype, and validate AI solutions to provide actionable insights into product performance and quality outcomes. • Develop and maintain Quality KPIs, scorecards, and dashboards in Power BI, ensuring accurate reporting and insights. • Manage Change Requests (CRs) to align with business needs and minimize operational disruptions. • Lead in the partnership with global Data & Analytics (D&A) team for seamless data ingestion, validation, and governance. • Represent Data Science, Gen AI, and advanced analytics initiatives in governance forums, influencing priorities and adoption at senior levels. • Drive large-scale solution adoption through change management, global rollouts, and capability building. • Mentor team members, providing technical guidance and promoting best practices in analytics and AI. • Ensure effective solution adoption through well-documented code, impactful visualizations, and collaboration. • Deliver rapid, ad-hoc insights and analytics to address high-priority business challenges. • Promote Quality data capabilities internally and externally through community engagement, blogs, and LinkedIn posts. SKILLS • Advanced proficiency in data science and analytics using Python, SQL, and Excel for complex data manipulation. • Solid foundation in machine learning techniques, including classification, regression, clustering, neural networks, and natural language processing. • Expertise in designing data models, developing KPIs, and creating interactive dashboards with Power BI. • Strong statistical and analytical thinking to validate models and derive actionable insights. • Skilled in presenting complex analyses to non-technical audiences and senior stakeholders. • Effective collaboration with internal teams and managing vendor relationships to promote analytics and AI adoption. • Provides mentorship and promotes best practices in analytics and AI • Demonstrates a comprehensive understanding of Generative AI principles, functionality, and prospective applications for integration into future frameworks. EXPERIENCE • Minimum Qualification: Bachelor’s degree (B.E.) in a relevant technical discipline such as Computer Science • 3+ years of experience delivering data solutions that address complex business challenges. • Demonstrated proficiency with Python, SQL, Power BI, and additional analytics and visualization platforms. • Advanced expertise in analytics practices, including data modelling, KPI development, dashboard creation, and the application of machine learning algorithms to produce actionable insights. • Experience in implementing ad-hoc and change request management processes to support evolving business requirements. • Experienced in collaborating with diverse teams, stakeholders, and third-party vendors to deliver analytics projects successfully. • Strong track record of presenting analytical findings to senior, non-technical stakeholders and influencing strategic business decisions through data-driven insights. At Unilever, inclusion is at the heart of everything we do. We welcome applicants from all walks of life and are committed to creating an environment where everyone can thrive/succeed. All applicants will receive fair and respectful consideration, and we actively support the growth and development of every employee. Unilever is an Equal Opportunity Employer/Protected Veterans/Persons with Disabilities. Note: All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent—please verify before proceeding. Better Business. Better World. Better You. We’ve been pioneers, innovators and future-makers for over 120 years. Learn More

Responsibilities

This role involves leading the strategic development and optimization of analytics platforms for the Global Quality Supply Chain, delivering scalable, insight-driven solutions using data science and machine learning. Key accountabilities include designing AI solutions, developing Power BI scorecards, managing data governance partnerships, and mentoring team members.