Job Title: Associate Data Scientist (Freshers)
Type: Full-time
Experience Level: Entry-level
V4C.ai is looking for dynamic and passionate fresh graduates to join our team as Associate Data Scientists within our Astros division. In this exciting entry-level position, you will have the opportunity to dive into the world of data science, working on projects that drive innovation and enhance our data capabilities in the Astros domain. You will collaborate with a talented team of data scientists and analysts, gaining essential skills and expertise in data analysis and machine learning.
Key Responsibilities- Support the collection, cleaning, and preprocessing of data to build robust datasets for analysis.
- Assist in the development and implementation of machine learning models and algorithms.
- Engage in exploratory data analysis to identify patterns and insights relevant to Astros projects.
- Collaborate with team members on various data science projects, contributing your fresh perspective and ideas.
- Participate in training sessions and workshops to further enhance your technical knowledge and skills.
- Provide support in documenting findings and presenting them to the team.
Requirements
- Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
- Knowledge of programming languages, particularly Python or R, is essential.
- Familiarity with data manipulation libraries such as Pandas and NumPy.
- Basic understanding of machine learning principles and practices.
- Possess strong analytical skills with a focus on detail and accuracy.
- A proactive attitude towards learning and professional development.
- Good communication skills and the eagerness to collaborate within a team environment.
- Willingness to work from our Pune office for hands-on training and experience.
Benefits
- Private Health Insurance
- Paid Time Off
- Work From Home (Post 3~6 months of training in Pune office)
- Training & Development
Skills Required
- Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field
- Knowledge of programming languages, particularly Python or R
- Familiarity with data manipulation libraries such as Pandas and NumPy
- Basic understanding of machine learning principles and practices
- Strong analytical skills with a focus on detail and accuracy
- Proactive attitude towards learning and professional development
- Good communication skills and eagerness to collaborate within a team
- Willingness to work from Pune office for hands-on training and experience
v4c.ai Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about v4c.ai and has not been reviewed or approved by v4c.ai.
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Flexible Benefits — Flexible work arrangements, including remote-first and hybrid options, are highlighted across roles and company materials. Flexibility is positioned as part of the benefits package supporting work–life balance.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings such as wellness programs and regular social events are explicitly called out. These lifestyle benefits are framed as supporting employee happiness.
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Healthcare Strength — Comprehensive health insurance plans are stated as part of the package. Health coverage is presented as a core benefit alongside wellness support.
v4c.ai Insights
What We Do
v4c.ai is a premier IT services consultancy specializing in Databricks to help organizations unlock the full potential of their data. We partner with enterprises to accelerate their journey to becoming data-driven by delivering end-to-end Databricks services across Lakehouse implementation, data engineering, AI/ML, and governance. Our expertise in integration, optimization, and enablement empowers clients to unify disparate data sources, modernize analytics, and build AI-ready platforms. By aligning Databricks capabilities with strategic business goals, we help organizations achieve faster insights, stronger competitive advantage, and scalable innovation.
