Position:
• Associate Data Scientist
Company:
• v4c.ai
Location:
• India
Job type:
• Full time
Job mode:
• Remote
Job requisition id:
• Not specified by the employer
Years of experience:
• Entry level role suitable for freshers and early career professionals (0-3 years)
Company description
• v4c.ai is a technology focused consulting organization operating in the IT services and IT consulting sector
• The company specializes in helping organizations unlock value from data through modern analytics and AI driven solutions
• A core area of expertise lies in Databricks based implementations, enabling enterprises to move toward lakehouse architectures
• v4c.ai works with organizations that want to modernize their data platforms, analytics pipelines, and AI readiness
• The firm supports end to end data initiatives including data engineering, advanced analytics, machine learning workflows, and governance practices
• Clients partner with v4c.ai to unify multiple data sources into scalable platforms that support real time insights and informed decision making
• The company emphasizes integration, optimization, and enablement as part of its consulting offerings
• v4c.ai aligns technical capabilities with business objectives to ensure data solutions create measurable impact
• Teams work closely with enterprise stakeholders to ensure analytics solutions are practical, scalable, and aligned with real world needs
• The organization is growing rapidly and invests heavily in engineering and data talent
• v4c.ai promotes a culture that values inclusion, equal opportunity, and respect for diverse backgrounds
• Employees are encouraged to contribute ideas, grow their skills, and collaborate across disciplines
• The company actively supports innovation, learning, and professional development
• With a strong focus on AI and machine learning, v4c.ai positions itself as a partner for organizations seeking long term data maturity
• The remote friendly work model enables talent from across India to contribute to global data initiatives
Profile overview:
• The Associate Data Scientist role is designed for individuals at an early stage of their data science career
• This position supports the development and implementation of machine learning based solutions within project teams
• The role operates under the guidance of experienced data scientists and technical leaders
• Associates contribute to real client projects while learning industry best practices
• The focus is on building strong foundations in machine learning, data analysis, and applied AI
• Professionals in this role assist with model development, experimentation, and evaluation
• The role involves working with structured and semi structured datasets across different domains
• Associates participate in preparing datasets that are ready for modeling and analytics workflows
• Exposure to deep learning and general AI concepts is provided through guided project work
• The position emphasizes hands on learning through real business use cases
• Collaboration is a key aspect, with regular interaction with team members across data engineering and analytics
• The role encourages curiosity and continuous improvement through learning and experimentation
• Associates contribute to documentation and knowledge sharing within the team
• Communication skills are developed through participation in discussions, reviews, and brainstorming sessions
• The role prepares candidates for long term growth into advanced data science or AI focused positions
Key responsibilities:
• Assist senior data scientists in designing and developing machine learning models
• Support implementation of algorithms that address business and analytical problems
• Participate in exploratory data analysis to understand data patterns and anomalies
• Perform data cleaning, transformation, and preprocessing to improve data quality
• Prepare datasets suitable for modeling, validation, and experimentation
• Contribute to feature engineering activities under guidance
• Support experimentation and model evaluation efforts
• Learn and apply supervised and unsupervised learning techniques
• Gain exposure to deep learning workflows and general AI concepts
• Participate in project discussions to understand requirements and solution approaches
• Collaborate with cross functional teams to align data solutions with project goals
• Support deployment readiness activities by ensuring models meet quality standards
• Document methodologies, assumptions, and results clearly
• Ensure reproducibility of experiments and analytical workflows
• Follow best practices in coding, version control, and collaboration
• Actively seek feedback to improve technical and analytical skills
Qualifications:
• Bachelor degree in computer science, statistics, mathematics, engineering, or a related discipline
• Strong interest in machine learning, artificial intelligence, and data driven problem solving
• Academic or practical exposure to data science concepts and workflows
• Working knowledge of Python for data analysis and modeling
• Understanding of fundamental statistics and probability concepts
• Familiarity with data manipulation and analysis techniques
• Awareness of business intelligence and data engineering concepts
• Exposure to data platforms and analytics tools is helpful
• Willingness to learn new tools, technologies, and frameworks
• Ability to understand problem statements and translate them into analytical tasks
• Comfort working with datasets of varying sizes and complexity
• Openness to learning through mentorship and hands on projects
• Interest in applying data science techniques to real business problems
• Commitment to continuous learning and skill enhancement
Skills:
• Practical understanding of machine learning principles and workflows
• Hands on experience using Python for data analysis and modeling
• Familiarity with libraries such as pandas, NumPy, and scikit learn
• Basic understanding of model training, validation, and evaluation
• Ability to perform exploratory data analysis and derive insights
• Awareness of deep learning concepts and interest in learning further
• Analytical thinking and structured problem solving ability
• Capability to interpret results and explain findings clearly
• Basic understanding of industry data use cases
• Ability to collaborate effectively within a team environment
• Clear verbal and written communication skills
• Openness to feedback and continuous improvement
Learning and growth opportunities:
• Exposure to enterprise scale data projects
• Hands on experience with real client datasets
• Mentorship from experienced data scientists and engineers
• Opportunity to learn advanced machine learning and AI techniques
• Practical exposure to modern data platforms
• Skill development through internal training and project work
• Career growth pathways into advanced data science roles
Work environment and culture:
• Remote friendly work setup across India
• Collaborative and supportive team environment
• Emphasis on inclusion and equal opportunity
• Respect for diverse perspectives and backgrounds
• Encouragement of innovation and idea sharing
• Focus on learning and long term career development
Additional info:
• v4c.ai follows equal opportunity employment practices
• Hiring decisions are based on skills, potential, and alignment with role requirements
• Diversity and inclusion are core values of the organization
• The company encourages applications from candidates across varied backgrounds
• Team members are expected to act with professionalism and integrity
• Continuous learning is supported through project exposure and mentorship
• The role is well suited for freshers seeking entry level data science experience
• Applicants with curiosity and strong learning intent are encouraged to apply
Please click here to apply.
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