v4c ai is hiring for a fresher entry level Data Scientist role in India

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

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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.

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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.

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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.

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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.

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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.

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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.

Please click here to apply.