EXL

Analyzes business data and runs outsourced operations

Data Scientist

Natural Language Processing & LLMsConfirmed live in the last 24 hours

Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

At least 2 years of prior analytics and data science experience driving projects involving artificial intelligence and advanced analytics.
Strong expertise in deep learning frameworks, natural language processing and text analytics, support vector machines, long short-term memory, transformers, and neural networks.
In-depth understanding and hands-on experience working with large language models, including exposure to fine-tuning open-source models for a variety of use cases.
Strong exposure to prompt engineering, vector databases, the LangChain framework, and data embeddings.
Strong problem-solving skills and the ability to iterate and experiment to optimize artificial intelligence model behavior.
Proficiency in Python for data analysis, machine learning, and web development.
Hands-on experience with machine learning libraries such as NumPy, SciPy, and scikit-learn.
Ability to communicate effectively with diverse clients and stakeholders.

Responsibilities

Develop, optimize, evaluate, and deploy artificial intelligence and machine learning techniques into production environments to derive actionable insights from large, complex, and unstructured data.
Collaborate across teams to integrate data-driven solutions and maintain data governance compliance.
Develop and deploy artificial intelligence 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.
Explore and optimize algorithms, methodologies, and technologies through research and development to tackle complex problems and drive innovation.
Stay updated with advancements in data science methodologies, tools, and technologies, and contribute to the team's knowledge base by sharing insights, attending conferences, and conducting research.
Establish and maintain data governance policies, ensuring data integrity, security, and regulatory compliance.

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.

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.

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.

About the Company

EXL

Analyzes business data and runs outsourced operations

EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1999

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