EY - GDS Consulting - AI and DATA - Gen AI -Senior
Job description
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
Job Description: Data Scientist
Role Overview:
We are looking for a seasoned Senior Data Analyst with 4-5 years of experience in the field of Data Analytics, with a strong background in Graph Databases (RDF & LPG) and proficiency in utilizing the LangChain Framework for GenAI applications. The ideal candidate will be adept at translating complex data into actionable insights and have a proven track record of driving data-driven decision-making processes.
Responsibilities:
- Analyze large datasets using graph databases (RDF & LPG) to uncover patterns, trends, and insights.
- Should have worked in Build graph database,RDG &LPG with AI.
- Design and implement robust data analytics frameworks and strategies to support business objectives.
- Utilize the LangChain Framework to enhance GenAI applications, ensuring seamless integration and data flow.
- Collaborate with cross-functional teams to identify opportunities for leveraging company data to drive business solutions.
Requirements:
- Bachelor's or Master's degree in Computer Science, Statistics, Applied Mathematics, or a related field.
- 4-5 years of experience in a data analytics role, with a focus on graph databases and GenAI applications.
- Strong proficiency in SQL, Python, and graph query languages such as SPARQL or Cypher or Gremlin.
- Experience with LangChain Framework and its application in GenAI projects.
- Demonstrated ability to work with large, complex data sets and familiarity with data warehousing solutions.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Excellent communication and collaboration skills to effectively present data insights to non-technical stakeholders.
Good to Have Skills:
- Experience with cloud platforms such as Azure.
- Knowledge of data privacy and security protocols.
- Familiarity with machine learning algorithms and predictive modeling.
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