Senior Data Scientist – AI / ML (Telecom Domain Preferred)
ROLE OVERVIEW
We are seeking a Senior Data Scientist who can own enterprise AI engagements end -to -end - from problem framing and data understanding through model development, deployment and continuous optimization. This role requires strong technical depth in AI/ML and data science, combined with the ability to engage directly with clients and guide teams to deliver production -grade AI solutions. Prior experience or strong working knowledge of Telecom technology and data environments is a significant advantage.
KEY RESPONSIBILITIES
• Translate complex business requirements into well -scoped, testable AI/ML problem statements
• Lead exploratory data analysis, feature engineering and data quality assessment across structured and unstructured data
• Design and deliver predictive, prescriptive and generative AI solutions aligned to business outcomes
• Select modelling approaches considering interpretability, stability and operational constraints
• Collaborate with data engineering teams to ensure consistency between training and inference pipelines
• Ensure AI solutions are production -ready, explainable and scalable
• Support client workshops, discovery sessions and solution walkthroughs
• Provide technical guidance and design oversight to data scientists and ML engineers
Requirements
TECHNICAL EXPERTISE
• Strong foundation in statistics, machine learning and applied data science
• Experience with supervised, unsupervised, semi -supervised and ensemble learning techniques
• Hands -on expertise in time -series modeling, forecasting and sequence -based data
• Experience with generative AI and LLM -based systems, including retrieval -augmented generation (RAG)
• Understanding of evaluation strategies, bias–variance trade -offs, feature leakage and model generalization
• Familiarity with model lifecycle management, data drift and concept drift
TOOLS & PLATFORMS
• Python and the modern data science ecosystem
• ML frameworks such as TensorFlow, PyTorch and Scikit -learn
• LLM and generative AI frameworks and orchestration tools
• Cloud platforms and modern data platforms
• Open Source and Propriety tooling
• Ability to evaluate and recommend tools and architectures based on enterprise context
DOMAIN KNOWLEDGE (PREFERRED)
• Experience or strong familiarity with Telecom technology and data domains
• Exposure to BSS/OSS systems, roaming technology, charging, billing, customer analytics or network performance data
• Ability to incorporate domain constraints into AI solution design and evaluation
QUALIFICATIONS
• 8+ years of experience in Data Science, AI/ML or advanced analytics roles
• Proven delivery of real -world, production -grade AI solutions
• Comfortable operating in client -facing, consultative environments
• Strong communication skills and system -level thinking
ROLE CHARACTERISTICS
This role sits at the intersection of business understanding, deep technical expertise and delivery accountability. It is not a research -only or back -office position; it requires ownership, judgment and the ability to operate effectively across abstraction levels — from data and models to systems and business outcomes.
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