Highly Skilled Data Analyst

1 week ago

Nellore, Andhra Pradesh, India beBeeDataScientist Full time ₹ 15,00,000 - ₹ 24,00,000
Key Roles and Responsibilities

To succeed in this challenging position, you will be responsible for analyzing complex data sets to identify trends and patterns that drive business decisions.

  • Design predictive models and algorithms using machine learning and artificial intelligence techniques to improve accuracy and efficiency in analytics solutions.
  • Collaborate with cross-functional teams to ensure accurate and up-to-date data is available for analytics purposes.
  • Contribute to the development of data and analytics solutions by utilizing your technical expertise.
  • Deliver high-quality products and solutions in a timely manner while maintaining a proactive and entrepreneurial approach.
  • Apply MLOps principles to achieve scalability, repeatability, and automation in the end-to-end machine learning lifecycle.

Education, Technical Skills & Other Critical Requirements

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

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