Machine Learning Engineer
Athens, GR
GWI
On-demand consumer research powered by GWI. Understand your audience in an instant with global consumer data at your fingertips.📍Location: Greece
🏙️ Office requirement: Flexible/ Remote-first
📝 Employment type: Permanent
Seniority level: Junior/ Mid
At GWI we’re always looking for extraordinary people who thrive on making an extraordinary impact. Right now we’re looking for a Machine Learning Engineer to play a key role in our Data Science Department in Athens. If that’s you, and making a difference gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary.
Sounds great, what will I be doing? 🤔
As our Machine Learning Engineer you’ll make a direct impact helping our clients understand better the market research space and gain valuable consumer insights, through modeling and analysis of survey data.
You will also help us shape and realise our Data science Strategy by contributing to the development of our data platform - which ingests and augments consumer survey data that represent the views of nearly 3 billion consumers from around the world.
You will report to the Research ML Team Lead, as well as working closely with the rest of the Machine Learning team, Custom Research, Data and Engineering teams both on fixed-term client projects as well as on long-term initiatives aligned with GWI’s data products.
It’s also fun; shaking things up is what working for a growing company is all about. So you’ll need to be flexible, comfortable with continuous change, and working in a high-tempo environment as we grow.
What do I need to bring with me? 🧳
You’ll need to be able to demonstrate the core skills this role requires. You don't have to tick all the boxes right away; the important thing is that you’re willing to learn. Here’s what the team will be looking for:
👉 Coding proficiency in Python or R
👉 Working knowledge of machine learning software stack for data wrangling and modeling (Pandas, Scikit Learn)
👉 Basic knowledge of descriptive statistics
👉 Ability to work closely with Market Research Specialists to deliver modelled datasets for our Clients. To this end, be able to communicate complex concepts and be comfortable speaking about your craft to an audience
👉 Value all feedback and are always eager to learn.
👉 Promote a culture of automation, transparency, and accountability.
It would also be of great benefit to have an understanding of the market research space including:
👉 Survey design and data modelling of audiences based on attitudes and resultant behaviours.
👉 Much of our work is involved with creating new Segmentations or integrating new data into existing Segmentations. Any direct experience in this area would be ideal.
Equally important is attitude. We want people who think big (to make an impact), ask why (to find a better way), and show respect (to everyone, at every level, all the time). Those are our values, exemplified by our leadership team, and they’re a big part of what we’re looking for in you.
Interview steps 👟
👉Preliminary phone call with the Talent Team (video optional)
👉First video interview with the hiring managers
👉Task and Second (and final*) video interview with the hiring panel, often including a presentation, followed by a values conversation with members of the wider GWI community.
*Don’t be alarmed if there are other stages in the process, it’s all part of the plan for some of our roles.
What exactly is GWI? 👀
GWI is modernized consumer research; global, on-demand, and accessible to everyone, not just data experts. Our platform is designed for companies looking for fresh and insightful data about their consumers’ values, purchase journeys, media usage, and social media habits.
With data representing the views of nearly 3 billion people across 52+ countries, GWI has become the go-to for agencies, brands, and media companies that want to know what really drives their audience to action.
Since launching in 2009 we’ve grown at a healthy pace, and to maintain this growth we need more extraordinary people. Hence this ad. Hence you.
What’s in it for me? 🎁
You’ll do the sort of work that got you excited about your career in the first place - not as a cog in a machine, but as an individual whose contribution matters. So gigantic job satisfaction comes as standard, but it’s only part of the package. You’ll also get:
Global benefits:
🌴 Tons of days off: 25 days’ annual leave | End-of-year office closures
💸 More than a great salary: Employee share scheme | Health cash plan | 4% pension plan matching
🧘 Great work-life balance: Flexitime | Early Friday finishes | Work-from-anywhere options
🏡 Family-focused flexibility: Carer days | Enhanced parental leave | Health cash plan for your family
💪 A commitment to YOU: Accredited learning programs | A commitment to mental and physical health | Reward and recognition programs | Career development opportunities
🌎 A commitment to the community: DE&I committee | Volunteer options | 100% donation matching | Payroll giving options
Location-specific benefits:
💲 Employee share scheme/options
🎓 Generous training budget, including a fully paid international conference each year for Engineering and Data Science roles
📱 Mobile phone contract and restaurant ticket options
🏥 Private health insurance plan
Put all that together and GWI is the friendliest, most fulfilling place any of us has ever worked.
Diversity, Equity & Inclusion
We take DE&I seriously. Not only is it obviously the right thing to do, it’s also the bedrock of our value of show respect and at the heart of our company culture.
We’re a global data business, so it’s essential our data reflects the global reality. Putting diversity into practice like this literally makes our business stronger. That’s why we strive to make our offices - and our teams - as diverse as our data. Want to know more? Take a look at our Life page on LinkedIn to learn more about our DE&I initiatives.
The point is, GWI is a place where you can genuinely feel at home, express yourself, and make your mark - whoever you are.
As a Disability Confident employer, we encourage applications from disabled candidates and are dedicated to providing all relevant assistance during the application and interview process.
We also encourage individuals from all backgrounds, including those from underrepresented and marginalized communities, to join our team.
#li-hybrid
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Engineering Machine Learning Market research Pandas Python R Research Scikit-learn Statistics Survey data
Perks/benefits: Career development Equity Flex hours Flex vacation Health care Insurance Parental leave Startup environment
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