About the Company

Data Science, with Insurance domain having 3-7 years of experience will possess a comprehensive skill set in Data Science and AI/ML, reflecting an advanced level of proficiency.

About the Role

Expertise in Data Science and AI/ML is crucial, as candidates will be expected to leverage these skills to design effective predictive models and data-driven solutions that meet business objectives.

Responsibilities

- Strong proficiency in Python is essential for manipulating data, implementing algorithms, and developing machine learning models efficiently.
- Familiarity with digital analytics will enable the analysis of online behavior and optimization of digital campaigns based on data insights.
- Knowledge in data analytics and modeling is vital for deriving actionable insights from complex datasets.
- Experience working in Azure ML Studio and exposure to MLOps.
- Machine learning expertise will empower candidates to create algorithms that enhance predictive accuracy.




- Experience in handling large datasets and employing statistical analysis will support informed business decisions.

Qualifications A Master of Science (M.Sc.) in Data Science or a Post Graduate Diploma in Data Science / Artificial Intelligence is required.

Required Skills

- Digital Analytics
- Data Analytics and Modelling
- Python + Data Science
- Machine Learning
- ML Ops
- Data Scientist/ AI ML
- Azure Synapse ML

Preferred Skills

- Preferred certifications include being a Certified Data Scientist.
- Holding the Microsoft Certified: Azure Data Scientist Associate certification.
- Experience with Azure Synapse.
- Familiarity with version control systems, especially Git.

Pay range and compensation package

[Pay range or salary or compensation]

Equal Chance Statement

[Include a statement on commitment to diversity and inclusivity.]

📌 Data Scientist(Azure ML Studio) (Karnataka)
🏢 NexionPro Services
📍 Karnataka