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Oliver Wyman
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Principal Engineer - Data Science

Principal Engineer - Data Science

Oliver Wyman

3 - 8 years

5 - 10 Lacs

mumbai pune

Posted:1 week ago| Platform:

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Skills Required

computer science data analysis data science machine learning natural language processing troubleshooting data mining principal analytics python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Company: MMC Corporate

Description:

We are seeking a talented individual to join our CIS team at Marsh McLennan. This role will be based in Pune/Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office.

Principal Engineer - Data Science

We will count on you to:

Design and implement machine learning pipelines that curate datasets, train, test, and validate models, and deploy them into production.
Utilize LLMs and Generative AI techniques to enhance data analysis, natural language processing, and predictive modeling capabilities.
Apply supervised, unsupervised, and deep learning techniques to address business challenges, including the development of recommendation engines and scoring systems.
Conduct A/B testing and utilize statistical techniques to evaluate model performance and improve outcomes.
Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and processes.
Proficient in model building using R or Python, with a strong focus on data mining and leveraging large datasets.
Demonstrated ability to design and build machine learning pipelines, including model training, validation, and deployment.
Deep understanding of statistical and machine learning modeling, with experience applying these techniques to real-world business problems.

What you need to have:

Bachelor s or Master s degree in Computer Science, Data Science
Minimum of 3+ years of experience in data science

Hands-on experience with analytics and big data technologies, particularly within Microsoft Azure, including Azure Machine Learning, Azure Cognitive Services, and Azure Databricks.
Working knowledge of machine learning frameworks and tools such as scikit-learn, TensorFlow, PyTorch, and ONNX.
Experience with LLMs and Generative AI frameworks, including fine-tuning and deploying models for specific applications.
Experience with cloud service machine learning platforms, preferably Azure, and setting up data and experimental platforms.
Extensive knowledge of model management, ideally using Azure ML service and/or ML Flow, as well as deployment using Azure Kubernetes Service.

What makes you stand out:

Excellent verbal and written communication skills, comfortable interfacing with business users
Good troubleshooting and technical skills
Able to work independently

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