Data Scientist
This role at EXL in Pune requires a data scientist to build and deploy AI/ML solutions while ensuring compliance with data governance standards, bridging technical innovation with cross-team collaboration. The focus lies on deriving business insights from complex datasets and driving continuous model improvement through rigorous testing and R&D.
Skills required
About this role
As a Data Scientist, you will derive actionable insights from large, complex and unstructured data by developing AI/ML techniques. Development, optimization and evaluating as well as deploying them into production environments would be the key aspects of your role. You will have to collaborate seamlessly across teams to integrate data-driven solutions and maintain data governance compliance. Stay abreast of industry trends, contribute to thought leadership, and innovate solutions for intricate business problems.
Responsibilities
- Develop and deploy AI and statistical algorithms to extract insights and drive actionable recommendations from complex datasets.
- Design rigorous testing frameworks to evaluate model performance, validate results, and iterate on models to improve accuracy and reliability.
- Perform R&D by exploring and optimizing algorithms, methodologies, and technologies to tackle complex problems and drive innovation.
- Stay updated with the latest advancements in data science methodologies, tools, and technologies, and contribute to the team's knowledge base through sharing insights, attending conferences, and conducting research.
- Establishing and maintaining data governance policies, ensuring data integrity, security, and compliance with regulations.
Qualifications
- 2+ Years of prior analytics and data science experience in driving projects involving AI and Advanced Analytics.
- Strong expertise in Deep Learning frameworks, NLP/Text Analytics, SVM, LSTM, Transformers, Neural network.
- In-depth understanding and hands on experience in working with Large Language Models along with exposure in fine tuning open source models for variety of use case.
- Strong exposure in prompt engineering, knowledge of vector database, langchain framework and data embeddings.
- Strong problem-solving skills and the ability to iterate and experiment to optimize AI model behavior.
- Proficiency in Python programming language for data analysis, machine learning, and web development.
- Hands-on experience with machine learning libraries such as NumPy, SciPy, and scikit-learn.
- Excellent problem-solving skills and attention to detail.
- Ability to communicate effectively with diverse clients/stakeholders.
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