Senior Specialist Data Science

About Us

About The Business Unit

About The Role

• This role is responsible for strengthening the AI practice by working closely with the relevant stakeholders (B2B/C, Technology, Finance etc.) on impactful AI/ML and GenAI use cases to contribute to business strategy, digital growth and an evolving data & AI roadmap.
• The role will focus on translating customer and commercial needs into scalable ML/Gen AI/Data Science models and decisioning capabilities across business domains including customer value management (CVM), marketing, digital sales and customer care.
• For more details, please click here.
• About You:* 10 years' experience in a similar role.
• Prior experience in data science and AI/ML-based advanced analytics, including hands-on development on leading data science platforms (Dataiku as the primary platform) using Python and R.
• Demonstrated expertise in predictive modelling for telecommunications (telco) customer analytics (e.g., churn prediction, propensity, customer lifetime value (CLV), as well as segmentation, recommendation/decisioning systems, and time-series forecasting.
• Experience implementing hyper-personalization and Next Best Offer/Action frameworks in marketing and digital sales contexts.
• Practical knowledge of GenAI/LLM solutions (e.g., prompt engineering, retrieval-augmented generation, evaluation methodologies, and model guardrails) and hands-on experience using Gemini and/or Azure AI for automation and customer-experience use cases,
• Strong command of SQL and PL/SQL for advanced feature extraction with large-scale data on enterprise data platforms (e.g., Teradata, Oracle, BigQuery)
• Familiarity with MLOps practices - such as version control, pipeline orchestration, model registry, CI/CD deployment patterns, monitoring, and lifecycle management - within Dataiku and in collaboration with Technology teams.
• Understanding of Responsible AI principles, including privacy, security, and bias mitigation for AI models and automated decisioning.
• Excellent understanding of telecommunications commercial practices and customer journeys, and the ability to work cross-functionally with Product, Marketing, Sales, Digital, Technology teams.