
Highly Skilled Data Analyst and Model Developer
3 days ago
We are seeking a highly skilled Senior Data Scientist to join our team.
As a Senior Data Scientist, you will play a key role in driving business decisions through data analysis. Your responsibilities will include analyzing complex data sets to identify trends, patterns, and insights that can drive business decisions.
- Data Science Responsibilities
- 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
- 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
- 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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