Herd Improvement Analyst at LIC analyzing animal data and supporting farmers with insights. Working in a hybrid model with a focus on dairy genetics and herd improvement.
About the role
- Data Analyst role focusing on Analytical Solutions at Dun & Bradstreet. Utilize various data tools and collaborate with teams to implement ML solutions in a hybrid setting.
Responsibilities
- Work across range of Analytical Solutions that includes Implementation, Testing, Validation, Documentation, Monitoring, and Reporting.
- Extracting large data from various data sources using multiple tools such as Python/ Pyspark /Hadoop/ SQL/ etc., to perform multiple analysis.
- Creating data pipelines, performing model scoring, and validating model results. Utilize custom built automated frameworks for all deliverables.
- Work with GenAI Frameworks/Tools such as Microsoft CoPilot Studio, LangGraph, etc. to create agentic solutions.
- Work with multiple teams such as Data Supply, ML Engineers, Technology to implement ML/GenAI solutions and models.
Requirements
- 1 to 2 years of relevant experience in Data Analytics / Data Science roles.
- Strong programming skill in tools such as Python, Pyspark, SQL to manipulate data and create deployable production code.
- Knowledge of GenAI tools and techniques.
- Sound Knowledge and exposure to application of Statistical / Machine Learning Techniques.
- Experience in building and optimizing data pipelines, architectures and data sets.
- Certifications in GenAI / LLM skills will be added advantage.
- Excellent verbal, written communication and presentation skills.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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