Data Scientist - Online Behavioural Analytics & Generative AI

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Requirements:

• 5 + years of hands-on experience in Data Science experiments design and working with Generative AI tools and LLMs (e.g. Gemini, OpenAI, Claude, LLama).
• Strong statistical analysis skills, including hypothesis testing, regression, clustering, and time-series analysis.
• Proficiency in Python, including libraries for data analysis (e.g., Pandas, NumPy), machine learning (e.g., scikit-learn), and data visualization (e.g., Matplotlib, Tableau).
• Proven experience in data science, with a focus on online behavioural analytics, user journey analysis, or clickstream data.
• Familiarity with Advanced Prompting Strategies, agentic AI frameworks, techniques for retrieval-augmented generation (RAG) and context enrichment using behavioural data.
• Experience with Knowledge Graphs, SQL and data extraction from large-scale databases or web logs.
• Excellent problem-solving skills and the ability to translate complex data into clear, actionable insights.
• Strong communication and collaboration skills for cross-functional teamwork and stakeholder engagement.
• Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, Mathematics, Behavioural Science, or a related field.

Responsibilities:

• Work closely with AI Engineering and Product teams to collect, clean, and preprocess clickstream data from web and mobile applications, ensuring data quality and consistency.
• Design and implement methods to extract behavioural signals from raw click data, including sessionization, event tracking, and feature engineering.
• Apply advanced statistical analysis and machine learning techniques to identify user patterns, predict behaviours, and segment audiences.
• Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and key behavioural drivers.
• Design and evaluate experiments (such as A/B tests) to assess the impact of changes to user interfaces or features on user behaviour.
• Collaborate with cross-functional teams (product, UX, marketing) to translate business questions into data-driven analyses and actionable recommendations.
• Develop and maintain dashboards and visualizations to communicate findings to both technical and non-technical stakeholders.
• Design, build, and evaluate AI workloads utilising Generative AI models using frameworks such as LangChain, Model Context Protocol, and Hugging Face Transformers, with a focus on integrating and augmenting these models with user behavioural data for enhanced context and personalization.
• Implement and work with agentic AI frameworks to orchestrate multi-step reasoning and autonomous workflows powered by LLMs, leveraging user clickstream and behavioural data as contextual inputs.
• Stay updated with the latest developments in behavioural data science, analytics tools, Generative AI, and agentic AI methodologies.