Machine Learning Engineer

About the Role

Join our Data Science teams at Euromonitor, where we analyze data from the dynamic world of consumer goods, including standardized databases and online retail channels. We leverage ML models to identify consumer good attributes and provide valuable insights to our clients. You will contribute to developing new and improving existing ML models to meet evolving client needs, working cross-departmentally on a variety of projects.

Job Responsibilities

• Formulate hypotheses and develop proof-of-concept ML models for NLP (image/text processing).
• Work on Supervised/Unsupervised Learning tasks.
• Translate industry-specific knowledge into effective models.
• Monitor and ensure data quality.
• Communicate insights effectively in written and visual formats.
• Maintain ML models: measure performance, add/remove classes, create effective labeling batches, retrain with impact assessment.
• Suggest model improvements and propose working solutions for business problems.
• Ensure models integrate with existing systems and track model experiments.
• Keep model documentation updated.
• Clearly communicate problem status, actions taken, conclusions, improvements, and limitations.
• Utilize cloud resources, understanding notebooks, SQL instances, buckets, secrets, VMs, and service accounts.
• Contribute to pipelines, apply model scaling practices, and be mindful of cloud costs.
• Apply EDA principles, classical supervised/unsupervised learning techniques, main NLP techniques, and understand deep-learning techniques and computational complexity.

What You'll Bring

• A background in Mathematics, Physics, Natural Sciences, or Engineering fields, with relevant working experience of 2+ years.
• Advanced knowledge of Python/R/SQL.
• Understanding of merge-request git flow, basic scripting (CI/CD, regular expressions, shell commands).
• Familiarity with HTML/JavaScript and basic web app development skills.
• Good coding habits: proper documentation, linting, styling, reproducibility, code review best practices, and test-driven development.
• Skills to maintain and improve ML models.
• Experience creating and using cloud resources.
• Understanding of appropriate visualizations for different data types and familiarity with at least one visualization framework.
• Proficiency in applying EDA principles, classical supervised/unsupervised learning techniques, main NLP techniques, and a good understanding of deep-learning techniques.

Benefits & Perks

• Hybrid working model (2 days per week in office).
• Exposure to international, high-impact projects.
• Work for a globally recognized organization.
• Flexible working hours.
• Work from anywhere in the world for up to 3 weeks per year.
• Monthly Gross Salary: €3,750 - €5,000, dependent on experience.
• Competitive salaries.
• Private health insurance.
• Generous holiday allowances.
• Extensive training and development opportunities, with a focus on internal promotion.
• Two volunteering days annually.
• Support for local and international charities.

Why Work for Euromonitor?

• Values: Integrity, Curiosity, Togetherness, Empowerment, Diversity.
• International: Multinational workforce communicating across 16 global offices.
• Hardworking and Sociable: Balance of hard work with enjoyment, flexible hours, and regular social events.
• Committed to Making a Difference: Corporate Social Responsibility Programme.
• Excellent Benefits: Competitive compensation, health insurance, generous holidays.
• Opportunities to Grow: Promoting from within and across departments.

Equal Employment Opportunity

Euromonitor International is an equal opportunity employer and values diversity. We do not discriminate based on race, color, religion, sex, national origin, political affiliation, sexual orientation, gender identity, marital status, disability, genetic information, age, membership in an employee organization, or other non-merit factors.