Unilever is hiring for a fresher entry level Data Scientist role in India

Position:

• Data Science Specialist

Company:

• Unilever

Location:

• Mumbai, Maharashtra, India

Job Type:

• Full-Time

Job Mode:

• On-site

Job Requisition ID:

• R-86289

Years of Experience:

• 0-3 years
  

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Company Description:

• Overview:

  • Unilever is a global leader in consumer goods, driven by a purpose-led approach. With a wide range of beloved brands, Unilever strives to enhance the lives of consumers and communities. The company emphasizes the importance of innovation, fostering a culture where business success is achieved through creativity, disruption, and sustainability.

• Values:

  • Unilever believes in using business as a force for good, where every team member plays a role in improving lives and building a brighter future. By supporting employees with mentorship, inspiration, and an inclusive environment, Unilever fosters growth both personally and professionally.

• Global Impact:

  • With nine out of ten Indian households using Unilever’s products, the company stands as a major player in shaping consumer behavior and lifestyle improvements. The company encourages curiosity, new ideas, and creating meaningful impacts on business and society.

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Profile Overview:

• Role Overview:
  • The Data Science Specialist at Unilever is a critical role, responsible for designing, building, and embedding large-scale business tools and capabilities that leverage data-driven marketing. The specialist works within multi-functional teams, collaborating with external agencies and internal business leaders to deliver impactful solutions.
• Key Responsibilities:
  • Building Capabilities:
    • Work with data from various sources to create a comprehensive view.
    • Use machine learning and AI to build predictive models that help drive business outcomes.
    • Visualize and communicate model outcomes to business stakeholders in a user-friendly manner.
    • Assist in transforming models into production-ready pipelines for automated processes.
  • Embedding and Evolving Capabilities:
    • Collaborate with Predictive Analytics managers to integrate tools and their outcomes with business stakeholders.
    • Train business users on the tools and models created.
    • Continuously evaluate and improve models and tools with analytics partners.
  • Focus on Predictive Analytics:
    • The role emphasizes democratizing sophisticated predictive analytics tools, enabling broader adoption by business partners, and ensuring better business outcomes.

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Qualifications:

• Technical Expertise:

  • Proficiency in programming languages such as Python, PySpark, and R.
  • Experience in working with third-party APIs for data extraction and transformation.
  • Familiarity with deterministic and probabilistic modeling, as well as data fusion methodologies.
  • Expertise in handling large datasets using SQL and cloud technologies such as Azure.
  • Hands-on experience with machine learning techniques, including gradient boosting, random forests, and neural networks.

• Data Science & Modeling:

  • Strong background in distributed processing and working with big data.
  • Experience with designing and managing relational databases.
  • Advanced knowledge of SQL for querying large datasets.
  • Familiarity with natural language processing (NLP), speech analysis, and image analysis.
  • Feature engineering experience to standardize measures across different datasets.
  • Proficiency in statistical and optimization techniques, including Bayesian models and genetic algorithms.

• Visualization & Communication:

  • Ability to create data visualizations using Python, R libraries, or Power BI.
  • Experience with building dashboards for reporting and visual representation of data.
  • Effective communication of technical concepts to non-technical audiences.
  • Skilled in project management with the ability to prioritize multiple tasks.

• Business Acumen:

  • Hands-on experience in a commercial environment, ideally within the marketing or media sectors.
  • Strong business acumen, with an ability to work in fast-paced, ever-changing environments.
  • Enthusiastic about driving innovation and working within connected networks.

• Soft Skills:

  • Demonstrated ability to communicate technical insights in a business-friendly language.
  • Passionate about creating innovative solutions and leaving a lasting impact.
  • Excellent project management skills, especially in handling multiple projects simultaneously.

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Additional Info:

• Collaboration with Multi-functional Teams:

  • The Data Science Specialist will work closely with various teams, including external agencies and internal leadership. Collaboration is key to designing, building, and implementing business tools.

• Mentorship and Learning Opportunities:

  • The position provides opportunities for learning and growth. Mentorship from business leaders, as well as exposure to cutting-edge technologies and tools, will help enhance professional development.

• Impact on Business and Society:

  • This role provides a unique opportunity to influence data-driven decision-making across Unilever’s global operations, directly contributing to improved marketing and business strategies.

• Future Opportunities:

  • As part of a rapidly evolving field, the role of the Data Science Specialist offers future growth potential, including specialization in areas such as artificial intelligence, machine learning, and advanced analytics.

Please click here to apply.

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