Data Scientist

Euromonitor International

Data Scientist developing and improving machine learning models for Euromonitor International. Working with consumer goods data from various sources to innovate solutions.

Posted 7/13/2026full-timeBengaluru • 🇮🇳 IndiaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining Machine Learning models, applying advanced Python programming, and utilizing effective data visualization techniques. Capable of communicating complex data insights and model performance clearly while adhering to best coding practices.

Highest-signal resume keywords

Machine Learning Model DevelopmentAdvanced Python ProgrammingData Visualization FrameworksExploratory Data Analysis (EDA)Test-Driven Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonMachine LearningRegular ExpressionsShell CommandsWebapp DevelopmentSupervised Learning TechniquesUnsupervised Learning TechniquesNatural Language Processing (NLP)Deep Learning TechniquesCI/CD

Soft Skills

Clear CommunicationProblem-Solving

Tools & Technologies

GitVisualization Frameworks

Industry Keywords

Consumer GoodsData ScienceModel PerformanceData TypesModel Documentation

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

In Data Science we work with the data from fast changing consumer goods world. Data comes both from standardized databases and from online retail channels in various forms like semi-structured text in various languages, images or precise numeric values.
Currently we are looking for a new colleague to join the team and assist developing new and improving existing ML models according to our client feedback and suggest new ways looking at the data which would result in new product

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.
Good coding habits such as 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, retrain with assessment of the impact.
Ability to suggest model improvements, propose working solutions for business problems, ensure the model works with existing models, track model experiments and keep model documentation updated.
Skills to clearly communicate problem status, actions taken, conclusions, improvements and limitations.
Understanding of which visualizations to use with different data types, comfortable with at least one visualization framework, and capable of creating shareable/dynamic reports/apps.
Proficiency in applying EDA principles, classical supervised/unsupervised learning techniques, main NLP techniques, a good understanding of 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 our flexible work schedule options, including remote work opportunities and flexible hours
Positive Work Environment: Join a collaborative and inclusive workplace culture where your ideas are valued, diversity is celebrated, and teamwork is encouraged
Community Involvement: Make a positive impact in the community through our volunteer programs, charitable initiatives, and corporate social responsibility efforts
(and more….)