Data Scientist

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