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.

Overview Of The Role

As one of the first members of our new AI & R&D team, you'll play a foundational role in shaping our machine learning capabilities from the ground up. You'll work at the intersection of research and engineering—rapidly developing proof-of-concepts (PoCs) and prototypes across diverse datasets and problem domains. You'll collaborate closely with data scientists, software engineers, and product teams to explore new ideas, validate hypotheses, and transform research into production-ready solutions. This is an opportunity to influence technical direction, experiment with cutting-edge technologies, and help define best practices for a brand new, high-impact team.

What you'll be doing:

• Partner with stakeholders to understand complex business challenges and translate them into actionable AI and data science problem statements
• Lead the identification and evaluation of data sources, ensuring quality and relevance for model development
• Perform in-depth exploratory data analysis (EDA) to uncover patterns, validate assumptions, and guide modeling decisions
• Design, develop, and optimize machine learning models, including experimenting with emerging AI techniques such as LLMs
• Collaborate with ML engineers and developers to operationalize models for scalable deployment and monitor performance
• Communicate insights and recommendations through clear, compelling visualizations and presentations to technical and non-technical audiences
• Contribute to defining best practices for experimentation, versioning, and reproducibility, and mentor junior team members where needed
• Stay proactive in learning and bringing innovative ideas from the latest advancements in AI, machine learning, and LLMs into the team's work

Requirements

What we're looking for:

• Strong programming skills in Python, with the ability to write clean, modular, and testable code
• Solid experience with database technologies (SQL and/or NoSQL) and data manipulation at scale
• Good understanding of machine learning algorithms (supervised, unsupervised, and deep learning) and their practical applications
• Hands-on experience with ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or similar
• Proficiency in data analysis using tools like pandas and NumPy
• Exposure to end-to-end ML workflows, from data pre-processing to model deployment (doesn't need to be perfect, but familiarity is important
• Awareness of MLOps practices (experiment tracking, model versioning, monitoring) is a plus
• Understanding of software engineering principles (version control with Git, testing, documentation; CI/CD and containerization like Docker are nice-to-have)
• Strong problem-solving skills, curiosity, and an experimental mindset — willing to try new approaches and learn emerging technologies
• Excellent collaboration and communication skills; comfortable working cross-functionally in a fast-moving environment
• Interest in cloud ML platforms (AWS SageMaker, GCP Vertex AI, or Azure ML) and willingness to learn
• Familiarity or strong interest in LLMs, generative AI, or reinforcement learning — expertise not required, but enthusiasm is essential

The salary range for this position is between €4,000 and €5,000 / month gross.

What you'll get from us:

• Be a pioneer: Join a brand-new AI team and become one of the first engineers shaping its future
• Flexibility: Enjoy flexible working hours and a hybrid setup
• Global exposure: Work with stakeholders across multiple offices worldwide
• Cutting-edge tech: Experiment with emerging AI technologies, including LLMs and innovative approaches
• Collaboration: Partner with diverse teams and contribute to exciting, high-impact projects

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: not only do we have a very multinational workforce in each office but we communicate across our 16 offices worldwide on a daily basis.

Hardworking and sociable: our staff know how to work hard and know 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 other groups to be involved with.

Committed to making a difference: We believe 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 gives all new starters a donation amount on joining us which they can give to a charity of their choice.

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.

Excellent benefits: we offer competitive salaries, enhanced healthcare and pensions, plus generous holiday allowances, hybrid working 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.