Specialist - Data Sciences (Python / Full Stack Data Science)

Vivantify Technology Solutions India Pvt. Ltd.; Maharashtra; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Growth opportunities

Inclusive work environment

Challenging projects

Job summary

Vivantify Technology Solutions India Pvt. Ltd.

in Pune seeks a Full Stack Data Scientist with strong Python and data science expertise to build end-to-end, data-driven solutions across ML, data analysis, backend, frontend visualization, and cloud technologies. The role involves developing and deploying data science solutions from data collection to model deployment and dashboards, collaborating with data engineers, software developers, and business stakeholders to deliver practical solutions on

Qualifications

• Experience in end-to-end data science solutions and cloud deployments.

Responsibilities

• Develop end-to-end data science solutions: data processing, modeling, APIs, and visualization.
• Build data pipelines and microservices using Python, Java, or Ruby.
• Create interactive dashboards and data visualizations using HTML, CSS, and JavaScript.
• Deploy web applications and data solutions on cloud platforms.

Skills

Python – Data Science

ML algorithms

Statistical analysis

Data preprocessing

SQL databases

Frontend JS/HTML/CSS

Backend APIs

Cloud platforms

Data visualization

Analytical skills

Communication

Tools

Docker

Kubernetes

Job description

About The Role

We are seeking a

Location:

Pune

Experience:

5–7 Years

About The Role

We are seeking a Full Stack Data Scientist with strong expertise in Python and Data Science to build end-to-end, data-driven solutions. The role combines machine learning, data analysis, backend development, frontend visualization, and cloud technologies, with ownership across the application stack. The ideal candidate will be comfortable translating complex business problems into scalable data solutions.

Job Description

The role involves developing and deploying complete data science solutions, from data collection and preprocessing through model development, deployment, and visualization. The candidate will build predictive and statistical models, develop data pipelines and APIs, and create interactive dashboards to communicate insights effectively.

The position requires collaboration with data engineers, software developers, and business stakeholders to understand requirements and deliver practical solutions. The candidate will also contribute to automation and process improvements, research emerging technologies, and deploy web applications to cloud platforms such as AWS, Azure, or Google Cloud.

Key Responsibilities

• Develop and deploy end-to-end data science solutions, including data processing, modeling, APIs, and visualization.
• Collect, clean, transform, and validate data from multiple sources.
• Build and deploy machine learning, predictive, and statistical models.
• Develop scalable data pipelines, APIs, and microservices using Python, Java, or Ruby.
• Build interactive dashboards and data visualizations using HTML, CSS, and JavaScript.
• Perform exploratory data analysis to identify patterns, trends, and actionable insights.
• Deploy web applications and data solutions on AWS, Azure, or Google Cloud.
• Collaborate with data engineers, developers, and business stakeholders to translate business requirements into data solutions.

Required Skills

• Python – Data Science
• Machine learning algorithms and predictive modeling
• Statistical modeling and data analysis
• Data collection, preprocessing, and exploratory data analysis
• SQL and database systems
• Frontend development using HTML, CSS, and JavaScript
• Backend development, APIs, microservices, and data pipelines
• Cloud technologies such as AWS, Azure, or Google Cloud
• Strong programming skills in Python, R, Java, or similar languages
• Data visualization
• Strong problem-solving and analytical skills
• Excellent communication and collaboration skills

Preferred / Good To Have

• Docker and Kubernetes
• Experience in financial / fintech sectors
• Jira and Confluence

Mandatory Skills

• Python – Data Science

Candidate Profile

The ideal candidate will have 5–7 years of experience with strong hands-on expertise in Python-based data science and experience delivering solutions across the full application stack. The candidate should be comfortable working with machine learning, cloud platforms, frontend/backend technologies, and cross-functional teams in a fast-paced environment.

Benefits Package

• Competitive salary and benefits package
• Opportunities for professional growth and development
• A collaborative and inclusive work environment
• The opportunity to work on exciting and challenging projects with leading clients