Senior Business Intelligence Analyst

15 hours ago

Amrāvati, Maharashtra, India beBeeDataScientist Full time ₹ 10,00,000 - ₹ 25,00,000

Role Overview

  • Drive business growth by uncovering hidden trends and patterns within complex data sets, informing strategic decisions that propel the organization forward.

Key Responsibilities

  1. Develop predictive models, algorithms, machine learning, and artificial intelligence techniques to enhance the accuracy and efficiency of analytics solutions.
  2. Collaborate with cross-functional teams to ensure data used is accurate, relevant, and up-to-date for analytics purposes.
  3. Contribute to hands-on development of data & analytics solutions.
  4. Deliver high-quality products and solutions in a timely, proactive, and entrepreneurial manner.
  5. Accelerate solution delivery using reusable frameworks, prototypes, and hackathons.
  6. Implement MLOps principles to guarantee scalability, repeatability, and automation throughout the end-to-end machine learning lifecycle.
  7. Create and maintain detailed technical documentation.
  8. Stay current on industry trends and new technologies in data science and analytics, applying this knowledge to improve the firm's analytics capabilities.
Technical Skills and Qualifications
  • 0-5 years of experience in AI/analytics product & solution delivery.
  • Bachelor's/Master's degree in information technology/computer science/statistics/economics or equivalent fields.
  • 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 & Kubernetes.
  • Strong conceptual and creative problem-solving skills.
  • Good written, verbal communication skills and presentation skills; engage with a variety of audiences: business stakeholders, technology partners & practitioners, executive and senior management.
  • 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 & tools.
  • Prior experience in P&C Insurance Analytics.
  • Prior experience in Analytics consulting and services.

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