Job Responsibilities- Analyze complex data sets to identify trends, patterns, and insights that can drive business decisions. - Design and develop predictive models, algorithms, machine learning, and artificial intelligence techniques to improve the accuracy and efficiency of analytics solutions - Collaborate with cross-functional teams to ensure the data used is accurate, relevant, and up-to-date for analytics purposes. - Contribute to hands-on development of data & analytics solutions. - Deliver products and solutions in a timely, proactive, and entrepreneurial manner. - 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. - Developing and maintaining detailed technical documentation. - Stay up-to-date on industry trends and new technologies in data science and analytics, and apply this knowledge to improve the firm's analytics capabilitiesEducation, Technical Skills & Other Critical Requirement- 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 technologiesPreferred:- 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
Job Title
Senior Data Scientist