Job Opportunities API

About Euromonitor: Euromonitor International leads the world in data analytics and research into markets, industries, economies and consumers. We provide truly global insight and data on thousands of products and services; we are the first destination for organisations seeking growth. With our guidance, our clients can make bold, strategic decisions with confidence. About the role: Within our Data Science teams here at Euromonitor we work with data collated from the ever-changing and dynamic world of consumer goods. The data we analyse/collect comes both from standardized databases and from online retail channels in various forms, such as semi-structured text, which can come in a variety of languages, images or precise numeric values. To date we have already developed 400+ ML models which help us to identify consumer good attributes, of which are clients work with us to understand and gain insights from. Currently we are looking for a new colleague to join the team and assist in developing new and improving existing ML models according to our clients changing needs. Within this role you will work cross-departmentally to execute on a wide array of projects that will suggest new ways of looking at the data to support our clients. Job Responsibilities: Formulating hypotheses and developing proof-of-concept ML models for NLP i.e. image / text Processing. Work on Supervised/Unsupervised Learning tasks. Translate Industry specific knowledge into proper models. Monitor and ensure data quality. Communicate insights effectively in both a written and visual way. Requirements Ideally you will bring to the role: 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 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. The role has a monthly gross salary of €3,750 - €5,000, dependent on experience. #LI-HYBRID #LI-AO1 Benefits Why work for Euromonitor? Our Values: We seek individuals who act with  integrity We look for candidates who are  curious  about the world We feel that as a community, we’re stronger  together We seek to enable people to feel  empowered We welcome candidates who bring strength in  diversity International:  We have a multinational workforce and communicate daily across our 16 global offices. Hardworking and Sociable:  Our staff balance hard work with enjoyment, offering flexible hours and regular social events, including after-work meetups, summer and Christmas parties.