Strategic Data Insights Leader

2 weeks ago

Varanasi, Uttar Pradesh, India beBeeDataScientist Full time ₹ 20,00,000 - ₹ 2,62,50,000

Job Overview

As a Senior Data Scientist, you will play a critical role in driving business decisions through data analysis and insights. You will be responsible for designing and developing predictive models, algorithms, and machine learning techniques to improve the accuracy and efficiency of analytics solutions.

Key Responsibilities

  • Analyze complex data sets to identify trends, patterns, and insights that inform business strategies.
  • Develop and deploy predictive models and machine learning algorithms to drive business outcomes.
  • Collaborate with cross-functional teams to ensure data accuracy, relevance, and timeliness for analytics purposes.
  • Contribute to the development of data & analytics solutions that meet business needs.
  • Deliver high-quality products and solutions in a timely and proactive manner.
  • Accelerate solution delivery using re-usable frameworks, prototypes, and hackathons.
  • Follow MLOps principles to ensure scalability, repeatability, and automation in the machine learning lifecycle.
  • Develop and maintain detailed technical documentation to support analytics efforts.
  • Stay up-to-date on industry trends and new technologies in data science and analytics, applying knowledge to enhance firm capabilities.

Requirements

  • 0-5 years of relevant experience in AI/analytics product & solution delivery.
  • Bachelor's/Master's degree in an information technology/computer science/statistics/economics or equivalent field experience.
  • Strong understanding of Machine Learning and Deep Learning concepts, with a focus on Natural Language Processing.
  • Proficiency in Python programming language, with experience using libraries like PyTorch for deep learning tasks.
  • Familiarity with Elastic stack (Elasticsearch, Logstash, Kibana) for data management and analysis.
  • Experience in optimizing algorithms and time series forecasts.
  • Knowledge of prompt engineering techniques to improve model performance.
  • Ability to prototype applications using Streamlit or similar tools.
  • Experience working with large and complex internal, external, structured, and unstructured datasets.
  • Model development and deployment in cloud; familiarity with Github, CI/CD process, Docker, Containerization, and Kubernetes.
  • Strong conceptual and creative problem-solving skills.
  • Good written, verbal communication skills and presentation skills; engage effectively with various audiences.
  • Industry knowledge about emerging AI trends, AI tools, and technologies.

Preferred Qualifications

  • Familiarity with new age AI and ML techniques such as GenAI, foundational models, large language models (LLMs), and applications.
  • Certifications in AI space such as ML Ops, AI Ops, Generative AI, Ethical AI, AI deployment in cloud.
  • Familiarity with agile methodologies and tools.
  • Prior experience in P&C Insurance Analytics.
  • Prior experience in Analytics consulting and services.

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