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Data Scientist

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Vodafone

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Location:
India , Pune

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are seeking an individual with strong big data and advanced AI/ML capability to help unlock value from data across on‑prem and cloud environments (AWS preferred). The role focuses on building diagnostic systems using causal and decision-theory approaches, developing predictive, prescriptive and “Next Best Action” solutions, and enabling intelligent autonomous systems that continuously learn and improve with minimal human involvement.

Job Responsibility:

  • Demonstrate passion and a learning mindset to adopt new data practices and tools across ingestion, transformation, governance, and security & privacy, working across on‑prem and cloud environments (AWS preferred)
  • Influence and contribute to innovative approaches that unlock value from companywide and external data
  • Design and build diagnostic systems using decision theory and causal models (including probability, DAG, ADMG, deterministic SME approaches, and related techniques) to predict the effects of actions and improve insight-led decision-making
  • Productise diagnostic systems so they can be reused at scale
  • Build robust predictive and prescriptive analytics solutions across AI disciplines (ML, DL, NLP, ES, RL) with scalability and real-time performance in mind
  • Determine "Next Best Action" outcomes using prescriptive analytics methods
  • Drive intelligent autonomous system utility by creating stable learning environments and improving precision over time
  • Build autonomous cognitive systems that prescribe proactive actions based on ML predictions and actively solicit feedback from support functions with minimal human involvement
  • Apply deep learning approaches across CNNs, RNNs and MLPs, and use modern ML/DL libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, NumPy, Pandas, statsmodels, Theano and XGBoost

Requirements:

  • Demonstrate passion and a learning mindset to adopt new data practices and tools across ingestion, transformation, governance, and security & privacy, working across on‑prem and cloud environments (AWS preferred)
  • Influence and contribute to innovative approaches that unlock value from companywide and external data
  • Design and build diagnostic systems using decision theory and causal models (including probability, DAG, ADMG, deterministic SME approaches, and related techniques) to predict the effects of actions and improve insight-led decision-making
  • Productise diagnostic systems so they can be reused at scale
  • Build robust predictive and prescriptive analytics solutions across AI disciplines (ML, DL, NLP, ES, RL) with scalability and real-time performance in mind
  • Determine "Next Best Action" outcomes using prescriptive analytics methods
  • Drive intelligent autonomous system utility by creating stable learning environments and improving precision over time
  • Build autonomous cognitive systems that prescribe proactive actions based on ML predictions and actively solicit feedback from support functions with minimal human involvement
  • Apply deep learning approaches across CNNs, RNNs and MLPs, and use modern ML/DL libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, NumPy, Pandas, statsmodels, Theano and XGBoost
  • At least one AWS certification is preferred
What we offer:
  • Opportunities to work on both on‑prem and cloud (AWS preferred) data and AI solutions, spanning ingestion, governance, security and privacy practices
  • The chance to build reusable diagnostic and prescriptive systems that enable insight-led decision-making and proactive operations
  • A role with scope to shape innovative approaches to unlocking value from companywide and external data

Additional Information:

Job Posted:
May 13, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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