Job description
Euromonitor International is the world’s leading provider of global business intelligence and strategic market analysis. We have more than 40 years’ experience of publishing international market reports, business reference books and online databases as well as a large Consulting division. Our research offers insight into industries, countries and consumers. We deliver quality information solutions to support strategic business planning. Euromonitor International is headquartered in London, with regional offices in Chicago, Singapore, Vilnius, Bangalore, Dubai, Santiago, Tokyo, Hong Kong, Shanghai, Seoul, Sydney, Cape Town, and Sao Paulo. It has about 1,250 employees and a network of over 800 analysts worldwide.
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. We have already developed 400+ ML models which help us to identify consumer good attributes our clients are interested in. 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
Key Responsibilities
• Formulating hypotheses and developing proof-of-concept ML models for NLP, Image Processing,
• Supervised/Unsupervised Learning tasks
• Translating Industry specific knowledge into proper models
• Monitoring and ensuring data quality
• Communicating insights effectively in both written and visual way
· Background in Mathematics/Physics/Natural Sciences or Engineering fields, relevant working experience of 2+ years;
· Advanced knowledge of Python/R/SQL, understanding of merge-request git flow, basic scripting including CI/CD, regular expressions, shell commands, HTML/JavaScript 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.
· Experience creating and using cloud resources, familiarity with notebooks, SQL instances, buckets, secrets, VMs, and service accounts, understanding and contributing to pipelines, applying model scaling practices and cloud cost awareness.
· 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.
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….!)
Our Values
We act with integrity
We are curious about the world
We are stronger together
We seek to empower
We find strength in diversity
