Data Scientist - DF/CD XOPS

Posted 12 Hours Ago
Be an Early Applicant
Hiring Remotely in Centre, El-Hajeb, MAR
Remote
Mid level
Other
The Role
The Data Scientist will analyze data to solve business problems, build predictive models, incorporate design thinking, and drive improvements in data science solutions.
Summary Generated by Built In

Job Title: Data Scientist

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. 

Purpose of the Role:

  • Works with the product and business teams to fully understand the business problem and how to deliver relevant insights that lead to actions.

  • Gathers, analyses, models and interprets data to solve complex business problems and evaluate scenarios to recommend next best actions to the business.

  •  Fast paced agile experimentation with quick iterations to help demonstrate the value to build new product features/releases.

  • Incorporate design thinking elements in building and developing solutions

  •  Act as the go to expert on building diagnostic and predictive models through classical modelling and Machine Learning.

  • Build the know-how to develop Gen and Agentic AI solutions to meet growing business requirements in the space.

  •  Able to scale and industrialize the solution on cloud-based platforms

Areas of Focus:

  • Build data-science and algorithmic solutions to address business problems requiring diagnostic, predictive, and / or prescriptive analytics

  • Drive new value from insights from connecting external (Retailer, Econometric, Panel etc) and internal data sources

  •  Innovate new D&A methodologies motivated by local needs which feed into D&A’s global product pipeline

  •  The position will be primarily a sole contributor role working closely with the business interpreter across a variety of markets & teams.

  •  Guide team on continuous improvement which will include:

  •  Improved ways of working

  •  Simplification and standardization

About You:

  • Degree Qualified in a relevant technical field (Data Science, Computer Science, Engineering, Mathematics, Statistics, Econometrics, Operations Research).

  • Strong track record in solving problems using quantitative and statistical approaches

  • Expert knowledge in some of the following areas with good theoretical understanding across all: Regression, Time Series Forecasting, Causal Inference, Simulation, Optimization. Experience in developing AI solutions using LLMs and Agents is a plus.

  • Experience in designing and industrializing data science solutions

  •  Expert knowledge of Python & Spark

  •  Experience in communicating with clients and requirement gathering

  • Ability to manipulate and interpret complex, high-volume, high-dimensionality data from varying sources (Nielsen, SAP, Retailer ePOS; both structured and non-structured data)

  • Expert in working with cloud-based platforms like Azure, Databricks.

  • Excellent communication, active listening and presentation skills and ability to communicate effectively with all levels in the organisation

  • Passion for delivering service excellence; and developing a culture of “easy to do business with”, where customer’s needs are anticipated

  • Highly inquisitive mind-set with strong ability to identify, troubleshoot, problem solve and resolve issues. Passion for simplification and continuous improvement

  • Strong interpersonal skills with the ability to collaborate with team members to understand and develop technology solutions for business needs

  • Organised, strong time management skills and ability to prioritise multiple tasks in order to meet established deadlines

  • Team-player who is a proactive self-starter, with the ability to work without oversight.

  • Strong ethical standards regarding the handling of information.

  • Ability to work quickly and accurately, and within a cross-culture and global environment.

  • Ability to work with a broad, virtual team

  • Proficiency in MS Office Suite and SQL desirable.

  •  Analytically minded with good numerical ability and logical reasoning

      Please 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.

Skills Required

  • Degree Qualified in a relevant technical field (Data Science, Computer Science, Engineering, Mathematics, Statistics, Econometrics, Operations Research)
  • Strong track record in solving problems using quantitative and statistical approaches
  • Expert knowledge of Python & Spark
  • Expert knowledge in Regression, Time Series Forecasting, Causal Inference, Simulation, Optimization
  • Experience in designing and industrializing data science solutions

Unilever Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Unilever and has not been reviewed or approved by Unilever.

  • Healthcare Strength Healthcare coverage is described as comprehensive, spanning medical, dental, vision, life insurance, and occupational health support alongside a 24/7 employee assistance program. Wellbeing offerings such as health checks, resilience tools, and counseling support the perceived depth of health-related benefits.
  • Retirement Support Retirement support includes a 401(k) match that reaches up to 5% of base salary, strengthening the overall value of the package. Share and savings options are also referenced as part of longer-term financial support beyond salary.
  • Flexible Benefits Benefits customization is enabled through tools such as a “My Reward” system and a “Benefits Envelope” that allows employees to personalize selections. Flexible working approaches are also associated with improved overall satisfaction, reinforcing perceived choice and adaptability in the total rewards offering.

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The Company
HQ: London
155,459 Employees
Year Founded: 1872

What We Do

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. Our portfolio ranges from nutritionally balanced foods to indulgent ice creams, affordable soaps, luxurious shampoos and everyday household care products. We produce world-leading brands including Lipton, Knorr, Dove, Axe, Hellmann’s and Omo, alongside trusted local names and innovative-forward thinking brands like Ben & Jerry’s, The Dollar Shave Club and Dermalogica. 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.

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