Senior Data Scientist

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. 

Why work for Euromonitor? 

Our Data Science team works at the intersection of technology and consumer insights, transforming complex data into meaningful solutions. We handle diverse data sources—from structured databases to online retail channels—covering text in multiple languages, images, and precise numeric values. 

With over 400 machine learning models already in production, we continuously innovate to identify product attributes that matter most to our clients. Now, we’re looking for a Senior Data Scientist to help us push boundaries further: 

• Develop and enhance ML models based on client feedback

• Explore new approaches to data that unlock fresh product opportunities
• Collaborate with a talented team to deliver impactful solutions

Job 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  

Requirements

Education & Experience 

• Background in Mathematics, Physical/Natural Sciences, or Engineering fields

• 5+ years of relevant experience in data science, machine learning, or AI engineering

• Ideally, experience working on end-to-end projects for at least 1 year

Technical Skills 

• Programming & Tools: Advanced knowledge of Python (or R), SQL; familiarity with Google Cloud Platform (GCP), Google stack. Azure is a plus

• Version Control & CI/CD: Understanding of merge-request git flow, basic scripting, CI/CD pipelines, regular expressions, shell commands

• Web Development Basics: HTML, JavaScript, and basic web app development skills

• Cloud Resources: Experience creating and managing cloud resources (notebooks, SQL instances, buckets, secrets, VMs, service accounts), applying model scaling practices, and maintaining cloud cost awareness

• Visualization: Ability to choose appropriate visualizations for different data types; proficiency with at least one visualization framework; capable of creating shareable/dynamic reports or apps

Machine Learning 

• Strong understanding of EDA principles, classical supervised/unsupervised learning techniques, NLP fundamentals, and awareness of deep learning techniques

• Skills to maintain ML models: measure performance, retrain, manage classes, create labelling batches, and assess impact

• Ability to suggest model improvements, ensure compatibility with existing models, track experiments, and maintain documentation

Generative AI 

• Applied familiarity with LLM-based workflows and tools (e.g. LangChain or similar), including prompt design and evaluation

• Working knowledge of prompting patterns and limitations of large language models

• Hands-on experience using AI coding and reasoning assistants such as Claude, Codex, Cursor, and GitHub Copilot

• No expectation of deep model development or LLM infrastructure ownership 

Best Practices 

• Good coding habits: proper documentation, linting, styling, reproducibility, code review best practices, and test-driven development

• Ability to clearly communicate problem status, actions taken, conclusions, improvements, and limitations

Additional Nice-to-Haves 

• Academic research experience

• Machine Learning Engineer experience

Soft Skills 

• Strong communicator: able to articulate ideas and solutions effectively to technical and non-technical stakeholders

• Collaborative mindset for working within cross-functional teams

Benefits

Joining us you will find:  

• Flexible work time with the perfect work/life balance  

• Competitive salary with wide variety of benefits like longer holidays, additional health insurance, social responsibility initiatives you can take part in, office perks  

• Intelligent and fun colleagues working in a constructive and inspiring atmosphere  

• Salary: EUR 68,000 – EUR 90,000  

#LI-HYBRID   #LI-AO1

Why work for Euromonitor?

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  
   
   

International: not only do we have a very multinational workforce in each office but we are all dealing with our 16 offices worldwide on a daily basis. With 16 offices globally there are regular opportunities for international transfer. 
 
Hardworking but sociable: our staff know how to work hard but also how to enjoy themselves! We pride ourselves on creating an appropriate work-life balance, with flexible hours and regular socialising including frequent after work meet ups, summer and Christmas parties and a whole range of sports and other groups to be involved with. 
 
Committed to making a difference: We think that people are looking for something worthwhile in a company beyond the workplace. Our extensive Corporate Social Responsibility Programme gives each member of staff two volunteering days a year in addition to holidays. It sees us reaching out into the local community with our mentoring, group volunteering, and fundraising initiatives as well as supporting international charities through our website sales, matching staff sponsorship fundraising, and carbon offsetting all our flights, amongst many other activities. 
 
Excellent benefits: we offer highly competitive salaries, healthcare insurance, food vouchers, saving fund, plus generous holiday allowances and in many offices a Core Hours policy allowing flexible start and finish times to each day. 
 
Opportunities to grow: we offer extensive training and development opportunities at all levels. The vast majority of our managers and directors have been promoted from within and many have moved across departments as well as upwards. We pride ourselves on identifying and rewarding talent. 
 
Equal Employment Opportunity Statement: Euromonitor International does not discriminate in employment on the basis of race, colour, religion, sex, national origin, political affiliation, sexual orientation, gender identity, marital status, disability and genetic information, age, membership in an employee organization, or other non-merit factor.