Chief Analytics Innovation Officer

2 days ago

Anantapur, Andhra Pradesh, India beBeeDataScientist Full time ₹ 30,00,000 - ₹ 40,00,000
Key Roles and Responsibilities

We are seeking a highly skilled Senior Data Scientist to join our team. As a key member of the analytics team, you will play a vital role in driving business growth through data-driven insights.

Your primary responsibilities will include:

  • Analyzing complex data sets to identify trends, patterns, and insights that inform business decisions;
  • Designing and developing predictive models, algorithms, machine learning, and artificial intelligence techniques to improve the accuracy and efficiency of analytics solutions;
  • Collaborating with cross-functional teams to ensure data accuracy, relevance, and timeliness for analytics purposes;
  • Contributing to hands-on development of data & analytics solutions;
  • Delivering products and solutions in a timely, proactive, and entrepreneurial manner;
  • Accelerating solution delivery using re-usable frameworks, prototypes, and hackathons;
  • Following MLOps principles to ensure scalability, repeatability, and automation in the end-to-end machine learning lifecycle;
  • Developing and maintaining detailed technical documentation;
  • Staying up-to-date on industry trends and new technologies in data science and analytics, and applying this knowledge to improve the firm's analytics capabilities.
Education, Technical Skills & Other Critical Requirements

To succeed in this role, you must have:

  • 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 fields 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 & Kubernetes;
  • Strong conceptual and creative problem-solving skills;
  • Good written, verbal communication skills and presentation skills; engage in meaningful manner with variety of audience: business stakeholders, technology partners & practitioners, executive and senior management;
  • Industry knowledge about emerging AI trends, AI tools and technologies.

Preferred Qualifications:

  • Familiarity of 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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