Assistant Manager - Data Science at Unilever

Short Description:

The Assistant Manager - Data Science role at Unilever in Bangalore involves leveraging world-class data science capabilities to address business challenges. Working within the Data Science Centre of Excellence, the position requires prototyping experimental solutions, supporting the development of scaled solutions, and facilitating the operation of data-driven solutions. The role emphasizes collaboration with stakeholder teams, providing technical expertise, and contributing to the growth of Unilever's data science capability. Candidates should possess expertise in machine learning, statistical modeling, forecasting, and optimization, along with proficiency in Python coding and relevant data science platform tools. The position requires a minimum of a B.S. in a technical field, preferably with at least 2 years of experience in building data science solutions in the consumer packaged goods industry, and familiarity with cloud-based architectures.

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Job Title: Assistant Manager - Data Science 

Job ID: R-78282 

Category: Data & Analytics 

Location: Bengaluru, Karnataka

 ABOUT UNILEVER:

Join the world's leading purpose-driven business, working with globally cherished brands that enhance the lives of consumers and communities. We champion innovation, both big and small, to drive our business forward and believe in business as a positive force. Unleash your curiosity, challenge conventions, and disrupt processes to make a real impact. Our exceptional leaders and colleagues provide mentorship, fostering an environment where you can thrive. Every day, nine out of ten Indian households use our products, offering a unique opportunity to contribute to a brighter future.

At HUL, we embrace diversity and believe that every individual, regardless of background, can bring their purpose to life. Apply to join us in unleashing your curiosity, challenging ideas, and using your energy to make a positive impact on the world. As you strive to make a real difference, we are committed to helping you become the best version of yourself.

Background:

To ensure Unilever's future competitiveness, the organization is on a journey to become data intelligent. The Data & Analytics team is dedicated to making Unilever Data Intelligent, driving key decisions through data, insights, advanced analytics, and AI. Our goal is to enable the democratization of data, information, and insights in a fully agile organization that fosters excellent careers and is accountable for impactful work and growth.

The Data & Analytics function focuses on establishing clear accountability for Data Strategy, Data Management, Information Management, Analytics, and Insights. We partner with Digital and Data Legal Counsel to ensure robust Data Defense (Privacy, Governance, Quality, etc.) and democratize information across the business, fostering a culture shift toward data-driven decision-making.

Our vision is to make Unilever data intelligent, partnering with the business to power key decisions with data, advanced analytics, and AI for accelerated growth. Our strategies to achieve this include:

1. Accelerate and simplify access to relevant data, information, and insights.
2. Build in-house, leading-edge data, information, insights & analytics capability.
3. Lead the data & insights culture and careers to empower employees across Unilever.
4. Rapidly embed analytics products, solutions, and services to drive growth.
5. Advance Information Automation at Scale.

The Data Scientist role resides within the Data Science Centre of Excellence (CoE) team in D&A. This team focuses on building state-of-the-art machine learning algorithms to maximize the impact of D&A solutions in driving enterprise performance. The role involves collaborating with D&A functional teams and business stakeholders, addressing both large transformation programs and immediate business challenges.

Main Purpose of the Job:

The Data Scientist enhances business performance in the functional area of Unilever they serve through the application of world-class data science capabilities. They support the delivery of data science on a range of projects.

Key accountabilities:

• Understand business challenges and planned data science solutions with guidance from the Senior/Lead Data Scientist.
• Contribute refinements to the plan through your own data science knowledge.
• Prototype experimental solutions, particularly machine learning models.
• Support the build of scaled solutions where required.
• Facilitate industrialization and ongoing operation of solutions through well-organized code, clear documentation, and collaboration with ML Ops resources.
• Interact with stakeholder teams, clearly communicating relevant data science issues.
• Support data science peers with technical advice in your areas of expertise.
• Support the growth of D&A’s data science capability through activities such as tool and vendor selection, best practice definition, recruitment, and creation of training materials.
• Build the reputation of D&A’s data science capability within Unilever and externally through community engagement (e.g., Yammer) and presenting at team meetings.
• Provide ad-hoc & immediate support to the business when needed (for example Covid-19 crisis support).

Experience and qualifications required:

Standards of Leadership Required in This Role:

• Personal Mastery (Data-science and advanced analytics).
• Agility.
• Passion for High Performance.

Key Skills Required:

Professional Skills:

• Machine learning.
• Statistical modeling.
• Forecasting.
• Optimization techniques and tools.
• Python coding.
• Data science platform tools (e.g., MS Azure, Databricks).
• Deep learning (and applications to NLP & Computer Vision).
• Collaborative development using Git repos.
• Automated Machine Learning platforms.

General Skills:

• Change Management.
• Project Management.
• Strong communication and collaboration skills.
• Ability to influence laterally and vertically.

Relevant Experience:

• Minimum of B.S. in a relevant technical field (e.g., Computer Science, Engineering, Statistics, Operations Research); preferably a postgraduate (Masters or Doctorate) degree.
• At least 2 years building data science solutions to solve business problems, preferably in the CPG industry.
• Experience with open source languages (e.g., Python) and equivalent tools for distributed computing (PySpark).
• Experience deploying solutions in a modern cloud-based architecture.
• Experience presenting insights to technical and non-technical colleagues.

Please click here to apply.