Data Scientist

Euromonitor International

. Assist in developing new and improving existing ML models according to client feedback .

Posted 11/9/2026full-timeBengaluru • IndiaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and improving machine learning models, particularly in NLP and image processing, while ensuring data quality and effective communication of insights. Proficient in Python and familiar with CI/CD practices, model performance measurement, and visualization techniques.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython ProgrammingData VisualizationSupervised/Unsupervised LearningModel Performance Measurement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningNatural Language ProcessingImage ProcessingPythonData Quality AssuranceModel Performance MeasurementExploratory Data AnalysisDeep Learning TechniquesCI/CD ScriptingRegular Expressions

Soft Skills

Effective CommunicationProblem-Solving

Tools & Technologies

Visualization FrameworksGitShareable Reports/Applications

Industry Keywords

MathematicsPhysicsNatural SciencesEngineeringModel Documentation

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Assist in developing new and improving existing ML models according to client feedback
Suggest new ways of analyzing data to support new products
Formulate hypotheses and develop proof-of-concept ML models for NLP and image processing
Perform supervised and unsupervised learning tasks
Translate industry-specific knowledge into appropriate models
Monitor and ensure data quality
Communicate insights effectively in written and visual formats
Measure model performance, manage classes, create labelling batches, and retrain models
Suggest model improvements and propose solutions for business problems
Ensure models work with existing models
Track model experiments and maintain model documentation
Create visualizations and shareable/dynamic reports or applications

Requirements

What you’ll need

Background in Mathematics/Physics/Natural Sciences or Engineering fields
Relevant working experience of 2+ years
Advanced knowledge of Python
Understanding of merge-request git flow
Basic scripting including CI/CD, regular expressions, shell commands, and basic webapp development skills
Proper documentation, linting, styling, reproducibility, code review best practices, and test-driven development
Skills to maintain ML models: measure performance, add/remove classes, create effective labelling batches, and retrain with assessment of impact
Ability to suggest model improvements and propose working solutions for business problems
Ability to ensure models work with existing models
Ability to track model experiments and keep model documentation updated
Ability to clearly communicate problem status, actions taken, conclusions, improvements, and limitations
Understanding of visualizations for different data types
Comfortable with at least one visualization framework
Capable of creating shareable/dynamic reports/apps
Proficiency in EDA principles, classical supervised/unsupervised learning techniques, main NLP techniques, deep-learning techniques, and awareness of model and computational complexity

Benefits

Comp & perks

Professional Development: Grow your career with opportunities within a consultative and professional environment
Flexible Work Schedule: Achieve a healthy work-life balance with flexible work schedule options, including remote work opportunities and flexible hours
Positive Work Environment: Collaborative and inclusive workplace culture where ideas are valued, diversity is celebrated, and teamwork is encouraged
Community Involvement: Volunteer programs, charitable initiatives, and corporate social responsibility efforts