Data Scientist

22 hours ago

Hinjawadi Pune Maharashtra, India Birlasoft Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Country/Region: IN

Requisition ID: 30842

Work Model:

Position Type:

Salary Range:

Location: INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI

Title: Data Scientist

Description:

Area(s) of responsibility
  • Design and develop robust AI/ML solutions tailored to industry verticals such as Banking, Financial Services, Insurance (BFSI), Energy & Utilities (EnU), Life Sciences, and Manufacturing.
  • Collaborate with cross-functional teams to gather business requirements and translate them into scalable machine learning architectures.
  • Lead the end-to-end lifecycle of ML projects—from data exploration and model development to deployment and monitoring—ensuring alignment with organizational standards and best practices.
  • Evaluate and select appropriate ML algorithms, frameworks, and tools to optimize model performance, scalability, and interpretability.
  • Conduct research on emerging ML techniques and technologies, providing insights for continuous innovation and improvement.
  • Define and implement data governance, model versioning, and deployment strategies to ensure compliance, reproducibility, and ethical use of AI.
  • Mentor junior developers and data scientists, fostering a collaborative and innovative team culture.
  • Communicate technical solutions and project progress to stakeholders and leadership, translating complex ML concepts into business-friendly language.

Must-Have Skills

  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • 4+ years of experience in AI/ML development, with a strong focus on solution design, model development, and deployment.
  • Proven experience building ML solutions across multiple verticals, especially BFSI, EnU, Life Sciences, and Manufacturing.
  • Strong proficiency in programming languages such as Python or R, and hands-on experience with ML libraries like Scikit-learn, XGBoost, TensorFlow, or PyTorch.
  • Solid understanding of supervised, unsupervised, and reinforcement learning algorithms.
  • Experience with cloud platforms (AWS, Azure, GCP) and their ML services (e.g., SageMaker, Azure ML, Vertex AI).
  • Strong analytical and problem-solving skills, with the ability to work in fast-paced environments.
  • Excellent communication skills to convey technical concepts to non-technical audiences.

Good-to-Have Skills

  • Experience with big data technologies (e.g., Spark, Hadoop) and data engineering workflows.
  • Familiarity with MLOps practices and tools for CI/CD in ML pipelines (e.g., MLflow, Kubeflow, Airflow).
  • Exposure to AI governance frameworks and responsible AI practices.
  • Prior experience in consulting or client-facing roles delivering ML solutions.
  • Advanced certifications in AI/ML or cloud technologies (e.g., AWS Certified ML Specialist, Azure AI Engineer Associate).

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