Senior Data Scientist

Telcovas Solutions Services; Pune District; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Telcovas Solutions Services is seeking a Senior Data Scientist in Pune, India, to lead end-to-end ML and GenAI initiatives within the telecom sector. You will build, deploy, and monitor scalable AI solutions, collaborating with network, marketing, IT, and business teams to drive real-world impact.

The role emphasizes hands-on experience with GenAI frameworks, model development, and deployment, with mentorship of junior colleagues and cross-functional collaboration across telco datasets.

Qualifications

• 6–9 years of ML/DL experience and advanced analytics.
• Hands-on GenAI experience with major frameworks and models.
• Proficient in Python and ML libraries (scikit-learn, TensorFlow, PyTorch).

Responsibilities

• Build, deploy, and maintain end-to-end ML solutions at scale in telecom.
• Design GenAI applications for telco use cases.
• Collaborate with cross-functional teams to implement AI-driven solutions.
• Provide technical mentorship to junior data scientists.

Skills

6-9 years ML/DL

GenAI models & frameworks

Python

ML libraries

Tools

OpenAI

Hugging Face

LangChain

RAG pipelines

Job description

Role Overview:

We are seeking a highly skilled and motivated Senior Data Scientist with deep expertise in Generative AI, Machine Learning, Deep Learning, and advanced Data Analytics. The ideal candidate will have hands-on experience in building, deploying, and maintaining end-to-end ML solutions at scale, preferably within the Telecom domain.

You will be part of our AI & Data Science team, working on high-impact projects ranging from customer analytics, network intelligence, churn prediction, to generative AI applications in telco automation and customer experience.

Key Responsibilities:

• Design, develop, and deploy advanced machine learning and deep learning models for Telco use cases such as:


• Network optimization


• Customer churn prediction


• Usage pattern modeling


• Fraud detection


• GenAI applications (e.g., personalized recommendations, customer service automation)


• Lead the design and implementation of Generative AI solutions (LLMs, transformers, text-to-text/image models) using tools like OpenAI, Hugging Face, LangChain, etc.


• Collaborate with cross-functional teams including network, marketing, IT, and business to define AI-driven solutions.


• Perform exploratory data analysis, feature engineering, model selection, and evaluation using real-world telecom datasets (structured and unstructured).


• Drive end-to-end ML solution deployment into production (CI/CD pipelines, model monitoring, scalability).


• Optimize model performance and latency in production, especially for real-time and edge applications.


• Evaluate and integrate new tools, platforms, and AI frameworks to advance the organization's data science capabilities.


• Provide technical mentorship to junior data scientists and data engineers.

Required Qualifications & Skills:

• 6-9 years of industry experience in Machine Learning, Deep Learning, CNNS, and Advanced Analytics.


• Strong hands-on experience with GenAI models and frameworks (e.g., GPT, BERT, Llama, LangChain, RAG pipelines).


• Proficiency in Python, and libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers, etc.