IND Consultant I

1 day ago

Bengaluru, Karnataka, India Aon Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Posting Description:

Job Title: IND Consultant I GSM Analytics : Data Engineering - Analytics & BI

ARL: 8

Solution Line: ASC

Position Type: Full Time

Work Location: Whitefield, Bengaluru, KA

Working Style: Hybrid

Cab Facility: Yes

Shift Time: 12.30pm to 9.30pm

People Manager Role: No

Required education and certifications critical for the role-

Any Graduate or Post-Graduate (full time)

Required years of experience –

3+ years of relevant experience

Job Summary: We are looking for a highly motivated and innovative individual to join our team as an Data Scientist. The ideal candidate should possess the ability to innovate, collaborate, and thrive in ambiguous and uncharted territories. They should have a strong interest in combining data science, business concepts, and technology, along with an analytical mindset and exceptional problem-solving skills. A willingness to learn and grow in a dynamic environment is essential. We are seeking someone with proficiency in AI/ML and experience across Data Analysis, Data Engineering and data storytelling.

Key Responsibilities:

    • Gather, clean, and analyze large datasets from diverse sources.
  • Develop and implement analytical models using Python, R, or similar languages.
  • Apply machine learning techniques such as clustering, decision trees, neural networks, and Gen AI to solve business problems.
  • Perform statistical analysis including regression, distribution modeling, and hypothesis testing.
  • Work with databases (SQL) to acquire, query, and manage data environments.
  • Utilize Databricks and Spark for distributed data processing.
  • Collaborate using DevOps tools like Jira, Confluence, GitLab/BitBucket.
  • Ensure compliance with data management and privacy standards.
  • Contribute to ETL processes and support integration across cloud and hybrid applications.
  • Exposure to cloud ERP systems like Workday Finance is a plus.

Skills Desirable:

    • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
  • 3 years of experience in AI/ML is preferred
  • Knowledge of big data technologies and cloud platforms such as AWS, Azure.
  • Proficiency in Python, R or others.
  • Exposure to database concepts to help acquire, query, and maintain the data environment (e.g., MS SQL or others).
  • Knowledge of various machine learning techniques (e.g., clustering, decision tree learning, artificial neural networks) and their real-world advantages/drawbacks is a plus
  • Experience in building and maintaining data ingestion pipelines and data transformations using Databricks, etc., with knowledge of cloud technologies is a plus
  • Knowledge of advanced analytics, statistical techniques, and concepts (e.g., regression, properties of distributions, statistical tests) and experience with applications is a plus
  • Developing user friendly and interactive dashboards on Data visualization tools such as Power Bi, Tableau or others is a plus

Business Acumen:

    • Ability to learn, adopt, and apply business concepts in a short amount of time.
  • Develop solutions using technical and business domain knowledge.

Communication & Presentation:

    • Strong communication skills and a desire to work in a team environment.
  • Experience communicating technical concepts to a non-technical audience.
  • Excellent verbal and written communication skills.
  • Strong organizational and multi-tasking skills.

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