Explore HV Portfolio Careers

Discover exciting opportunities with HV-backed companies. Join our Talent Network to get personalized job alerts and stay updated on the latest roles across our portfolio.

Sr Associate-Data Science

Matterway

Matterway

Data Science
Madrid, Spain · Hyderabad, Telangana, India
Posted on Mar 20, 2026

Location: Bangalore/Hyderabad

Experience: 4-10 Years

Job Title: Data Scientist II

Role Overview

As a Data Scientist II, you will be responsible for developing and sustaining data-driven solutions that support strategic decision-making and operational efficiency. You will analyze complex datasets to uncover insights, build and maintain machine learning models—including GenAI applications—and ensure their continued performance through retraining and monitoring. This role requires a strong foundation in Python, data science libraries, and MLOps practices. You will work independently or collaboratively, depending on project needs, and continuously enhance your skills by learning from senior team members and staying current with industry trends.


Core Responsibilities

  • Design, implement, and maintain machine learning and GenAI models to solve business problems and enhance user experiences.
  • Conduct exploratory data analysis to identify trends, patterns, and actionable insights.
  • Perform end-to-end data science workflows including:
    • Data cleaning and preprocessing
    • Feature engineering
    • Model training, evaluation, and retraining
    • Deployment and performance monitoring
  • Develop and maintain dashboards for model monitoring and business reporting.
  • Collaborate with cross-functional teams to understand requirements and deliver scalable solutions.
  • Communicate analytical findings clearly and effectively to both technical and non-technical stakeholders.
  • Contribute to MLOps pipelines for model sustainment and automation.

Required Qualifications

  • 4–6 years of hands-on experience in Data Science and Machine Learning, including exposure to GenAI technologies.
  • Proficiency in Python and commonly used data science libraries (NumPy, Pandas, Matplotlib, Scikit-learn, StatsModels, NLTK).
  • Strong SQL skills for data extraction, transformation, and analysis.
  • Experience with model deployment and lifecycle management in production environments.
  • Familiarity with MLOps tools and practices for model retraining and monitoring.
  • Strong analytical and problem-solving skills with a focus on delivering business value.
  • Ability to work independently and as part of a team in a dynamic, fast-paced environment.

Job Title: Data Scientist III

Role Overview

As a Data Scientist III, you will lead the development and deployment of advanced data science solutions to address complex business challenges. You will work closely with stakeholders to understand requirements, guide the team, and ensure alignment with strategic objectives. This role demands deep expertise in machine learning, deep learning, GenAI, and MLOps, along with a strong ability to mentor junior team members and drive projects to successful completion. You will also identify opportunities for automation and process optimization to enhance operational efficiency.


Core Responsibilities

  • Lead the design, development, and deployment of scalable ML/DL/GenAI solutions across diverse business domains.
  • Translate business requirements into technical solutions, ensuring alignment with organizational goals.
  • Drive automation of repeatable tasks and workflows to improve efficiency and reduce manual effort.
  • Ensure high-quality deliverables through rigorous testing, validation, and implementation of quality control measures.
  • Collaborate with cross-functional teams including data engineering, product, and business stakeholders.
  • Communicate complex analytical concepts and insights clearly to both technical and non-technical audiences.
  • Mentor and guide junior data scientists, fostering a culture of continuous learning and innovation.

Technical Expertise

  • 6–12 years of hands-on experience in Data Science, with proven success in applying ML, DL, NLP, and CV techniques to solve real-world problems.

The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

  • Cognizant is a global community with more than 300,000 associates around the world.
  • We don’t just dream of a better way – we make it happen.
  • We take care of our people, clients, company, communities and climate by doing what’s right.
  • We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.