Senior Data Analyst

1 week ago

Tirupati, Andhra Pradesh, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Opportunity:

We are seeking a skilled professional to fill the role of Data Scientist. This position involves working with complex data sets, analyzing trends and patterns, and developing predictive models.


Key Responsibilities:
  • Analyze large datasets to identify trends, patterns, and insights that inform business decisions.
  • Design and develop algorithms, machine learning techniques, and artificial intelligence solutions to improve analytics accuracy and efficiency.
  • Collaborate with cross-functional teams to ensure accurate, relevant, and up-to-date data is used for analytics purposes.
  • Contribute to hands-on development of data & analytics solutions.
  • Deliver timely, proactive, and entrepreneurial products and solutions.
  • Accelerate solution delivery using re-usable frameworks, prototypes, and hackathons.
  • Follow MLOps principles to ensure scalability, repeatability, and automation in the end-to-end machine learning lifecycle.
  • Develop and maintain detailed technical documentation.
  • Stay current on industry trends and new technologies in data science and analytics, applying this knowledge to enhance firm capabilities.

Required 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 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; engaging with various audiences including business stakeholders, technology partners, 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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