Data Scientist

As a part of the data science team of C5i Advanced analytics and Applied AI division, we are looking for a Data Scientist who is diligent, detail-driven, and ambitious to provide the SME expertise, design solutions and best practices to lead the projects for our partners across the globe for all AI implementations.

This position will require a strong background and working experience in developing scalable, sustainable and on prem agnostic data marts/lakes to enable effective deployment of AI algorithms developed to solve custom problems in the partner ecosystems for sandboxes as well as for the production deployments for continuous modeling, testing, improvement and deployment.

This role expects you to be a self-starter and ability to handle ambiguity with respect to the expectations, objective, data and would require discrete and constant attention to details. You will be leading and delivering the projects and are expected to have experience in application agile project management principles. You should be organized and have the ability to work on multiple projects, streams of work and stakeholders.

You'll also have the chance to shape the direction of our products and services. This is through gathering feedback from customers whilst collaborating with our engineering and service teams.

• Develop, validate, and scale

  Resource Allocation Model

  to quantify the impact of Sales & Marketing packages on sales and brand performance.
• Implement

  optimization algorithms

  to inform budget allocation and maximize marketing ROI across geographies and product portfolios.
• Lead the development of predictive and prescriptive models to support commercial, trade, and brand teams.
• Leverage

  PySpark

  to manage and transform large-scale retail, media, and consumer datasets.
• Build and deploy ML models using

  Python

  and

  TensorFlow

  , ensuring robust model performance and business relevance.
• Collaborate with marketing, category, and commercial stakeholders to embed insights into strategic decisions.
• Use

  GitHub Actions

  for version control,

  CI/CD workflows

  ,

  DVC for data versioning

  , and reproducible ML pipelines.
• Present findings through compelling data storytelling and dashboards for senior leadership.
• Mentor junior data scientists and contribute to a culture of innovation and excellence.

Requirements & Qualifications:

• 5+ years

  of hands-on experience in data science, preferably within the

  FMCG

  or retail domain.
• Proven track record of building and deploying

  Marketing Mix Models

  and/or media attribution models.
• Deep knowledge of

  optimization techniques

  (e.g., linear programming, genetic algorithms, constrained optimization).
• Advanced programming skills in

  Python

  (pandas, scikit-learn, statsmodels, TensorFlow).
• Expertise in

  PySpark

  for distributed data processing and transformation.
• Experience with

  Git

  and

  GitHub Actions

  for collaborative development and CI/CD pipelines.
• Strong grounding in statistics, experimental design (A/B testing), and causal inference.