v4c ai is hiring for a fresher entry level Data Scientist role in India August 07, 2025
Position:
Data Scientist
Company:
v4c.ai
Location:
India
Job type:
Full-time
Job mode:
Onsite
Job requisition id:
Not specified
Years of experience:
0–3 years
Company Description
v4c.ai is a growing IT services and consulting company with a clear focus on transforming businesses through artificial intelligence.
The firm specializes in implementing and optimizing Dataiku, a leading AI and machine learning platform.
Their services empower organizations to develop robust AI strategies, execute scalable projects, and make data-centric decisions across industries.
Known for offering tailored solutions, v4c.ai assists clients in adopting generative AI, automating workflows, and improving operational efficiency.
With a customer-first approach, the company provides end-to-end consulting, from strategy formulation and model building to enablement and support.
The team at v4c.ai includes industry experts in data science, analytics, engineering, and business strategy.
v4c.ai emphasizes rapid scaling and measurable results, contributing to a 4,100% company-wide growth in the last two years.
Its clientele spans startups, enterprises, and global organizations looking to integrate AI meaningfully into their operations.
A key driver of success is the company’s commitment to innovation and continuous learning.
The work culture is inclusive, collaborative, and driven by a passion for solving real-world challenges with intelligent solutions.
Profile Overview
This is an entry-level Data Scientist position that supports the creation, training, and deployment of machine learning solutions across business functions.
The role is well-suited for fresh graduates or professionals with up to three years of experience who are looking to build their careers in applied data science.
The selected candidate will contribute to the full data science pipeline, including data cleaning, modeling, evaluation, and deployment.
They will work closely with experienced data scientists and engineers who will provide mentorship and feedback throughout the project lifecycle.
Assignments may span multiple domains such as customer insights, financial forecasting, anomaly detection, and automation.
The job will involve hands-on exposure to Python, scikit-learn, pandas, NumPy, and other relevant tools and libraries.
Candidates will also have the opportunity to engage with cutting-edge AI initiatives, including deep learning and general AI experimentation.
Collaboration and communication skills are essential, as the role requires working in a team setting to achieve deliverables.
The candidate will be expected to contribute ideas during brainstorming and solution design discussions.
Attention to detail, analytical thinking, and a learner mindset are highly valued traits for this position.
Key Responsibilities
Assist senior team members in creating machine learning models to address real business problems.
Perform data cleaning and transformation to ensure data readiness for modeling.
Conduct exploratory data analysis to extract patterns, correlations, and distributions.
Collaborate on feature engineering tasks, ensuring meaningful variables are created from raw data.
Participate in discussions to understand the business objectives behind each modeling task.
Write efficient and reusable Python scripts to support model development and experimentation.
Evaluate model performance using appropriate metrics such as accuracy, precision, recall, or AUC depending on the use case.
Document workflows, processes, and methodologies clearly to support reproducibility.
Participate in code reviews and peer learning sessions to improve coding practices and technical understanding.
Support automation of routine processes and contribute to building reusable components.
Seek guidance from mentors and actively improve skills in deep learning, optimization, and generative AI.
Stay updated with the latest developments in data science through courses, webinars, or self-learning.
Work on ad hoc assignments involving statistical analysis, hypothesis testing, or business intelligence.
Test and deploy models in test environments or production systems as required by the team.
Handle tasks related to internal data tooling, dashboards, or integration with existing platforms.
Support preparation of technical presentations or reports to communicate insights and progress to stakeholders.
Required Skills
Proficiency in Python programming and ability to use Jupyter Notebooks or similar environments.
Hands-on experience with core libraries including NumPy, pandas, and scikit-learn.
Foundational understanding of supervised and unsupervised learning techniques.
Basic exposure to algorithms like regression, decision trees, clustering, or k-nearest neighbors.
Familiarity with model evaluation techniques such as confusion matrices, ROC curves, and cross-validation.
Willingness to explore deep learning frameworks such as TensorFlow or PyTorch in future projects.
Eagerness to learn about general AI applications including generative models and language models.
Good problem-solving skills and a structured approach to debugging and testing code.
Capacity to understand business context and apply analytical thinking to provide value.
Ability to communicate technical results to non-technical audiences.
Experience working on academic or personal projects in data science or analytics.
Openness to feedback and a collaborative attitude toward learning from peers.
Comfortable using version control tools like Git (basic level) for collaborative work.
Willing to document work clearly and contribute to knowledge-sharing within the team.
Preferred Qualifications
Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or related technical field.
Projects or internships that demonstrate hands-on work in data modeling or analytics.
Basic knowledge of data engineering workflows including data extraction, loading, and transformation.
Understanding of the machine learning lifecycle, including model development and operationalization.
Exposure to platforms such as Dataiku will be considered a plus, though not mandatory.
Interest in working with diverse datasets including structured and unstructured formats.
Previous involvement in Kaggle competitions, hackathons, or data-centric online challenges.
Curiosity about AI’s role in business transformation and an ambition to build impactful solutions.
Ability to multitask, manage deadlines, and communicate effectively in a fast-paced environment.
Additional Info
The organization encourages applications from diverse educational and cultural backgrounds.
They are an equal opportunity employer and provide a safe, respectful work environment for all.
v4c.ai has a fast-growing team and offers career advancement opportunities to early-stage professionals.
The team fosters an open feedback culture, where questions are welcomed and learning is continuous.
Entry-level hires are assigned mentors to ensure smooth onboarding and upskilling.
Employees are encouraged to participate in learning programs, certifications, and tech events.
The company is growing rapidly and has witnessed exponential increases in headcount and project volume.
As part of the AI team, new hires will contribute to a future-ready vision of enterprise transformation.
Employee contributions are acknowledged regularly, with clear career progression pathways.
This is a rare opportunity to gain deep experience in both applied data science and AI product development.