Machine Learning Engineer

We’re looking for enthusiastic and passionate Data Scientists and Machine Learning Engineers to join us here at GWI. Not just anyone though. Someone ambitious and genuine, who works best in the midst of a collaborative and forward-thinking team. That’s because as a GWIer you’ll be immersed in the fast-moving world of data tech.  We think big to make an impact, we’re not afraid to ask why, and we always show respect.  Those values are what got us where we are today, and they’re a big part of what we’re looking for in you.

Our Data Science department at GWI is committed to maintaining the highest quality in our survey data and to helping our customers arrive at the insights they need to understand their audiences. From automated testing and intelligent product features to custom analytical solutions and data observability, we are supporting the business at every level as data is at the very core of what we do. We are actively engaged throughout the entire data life cycle including data cleaning, data processing, data validation, designing and automating data workflows as well as automatically identifying and recommending insights and unexpected findings to our users. 

Our team values learning and keeping abreast of the latest research very highly and as a result we’re applying a wide range of techniques across machine learning, statistical analysis and natural language processing to the services and features we build. We are a diverse team with different backgrounds spread across two locations, Athens and London, and growing rapidly.

Depending on your background and interest, you will help us shape and realise our data science strategy.  Contributing either to building our AI platform - which facilitates the surfacing of relevant and timely consumer insights to our platform users - or developing our data platform - which ingests and augments consumer survey data from around the world. 

You will report to the Machine Learning Team Lead, as well as working closely with Engineering and Product leads on long-term initiatives. 

First things first, as a disruptor in the global market research industry, we haven’t come this far without entrepreneurial spirit and a get-up-and-go attitude. So if you think we’ll see that in you, then you’re already halfway there. Here’s the rest of what we’d like you to bring to the table.

Technical 

This role requires someone combining a product-oriented mindset, strong technical skills and programming experience, who is confident working with large, complex datasets and has a good understanding of a range of statistical techniques. Familiarity with cloud data wrangling and data analytics services is beneficial. 

The essentials

• Suitable educational qualifications in mathematical / computational / statistical sciences or engineering. 
• Professional experience in designing and delivering data science solutions end-to-end, from ideation, design and prototyping through to evaluation, productionisation and continuous, step-by-step  improvement. 
• Strong product-oriented mindset: Being able to translate business requests into incremental Data Science solutions and evaluate their business value. 
• Excellent communication and presentation skills. Proven experience and interest in working with cross-functional teams (e.g. Engineering, Product Management, User Research) for delivering data solutions responding to business needs, taking into account technical and business / usability constraints. 
• High level of coding proficiency in a technical language such as Python (preferably) and  R. 
• A good understanding of the relevant software stacks for either data analytics, statistics or machine learning.
• Experience with information retrieval (e.g. search, ranking) and recommender systems, as well as statistical techniques used in market research is nice to have. 

Competencies

• Gain a strong understanding of the business strategy and be able to apply it to your own projects. Be curious to understand how the business works, how the product fits in, and what its goals are. 
• Be the voice of Data Science in cross-functional teams and work closely with Product leads to recommend and design alternative solutions, challenging existing specifications when appropriate, always being empathetic about how the product makes users feel. Besides using pure ML metrics, dive into business and user metrics to evaluate performance. 
• Enjoy working as part of a team, enjoy collaborating and spearhead open and honest communication. Have a can do attitude and a willingness to learn and grow continuously through constructive, 2-way feedback. 
• Working knowledge of agile delivery tools such Trello and Jira, and other collaborative tools is nice to have. 

Great benefits make a big difference. Not just to employees, but to the whole vibe of a business. That’s why when you work for us, you’ll enjoy a full spectrum of generous perks, rewards and office benefits - all in line with Covid-19 guidelines of course.

• Competitive salary and performance-based bonus
• Generous training budget, including a fully paid international conference each year
• 25 days holiday and Christmas office closure days on top
• No meeting Fridays 
• Allocated shares according to GWI’s share scheme 
• Access to LinkedIn Learning and Coursera together with other ongoing Learning and Development opportunities
• Enhanced primary caregiver and co-caregiver’s benefits
• Flexitime and a great work-life balance
• Private health insurance plan
• Referral bonus scheme
• Mobile phone contract [Greece only]
• Early finishes on Fridays
• A well-stocked fridge and plenty of snacks (some healthy, some not so healthy)
• Restaurant Ticket card option [Greece only]
• Commit a working day to charity each year
• Social activities and team outings

GWI was founded with the knowledge that understanding your audience is really important for business. When you know who you’re speaking to and why, you can create content and campaigns that stand out to the people that matter.

Through our global online survey, we gather data on the behaviour and perceptions of consumers across the world. This provides businesses with deep, actionable insights on their audience, revealed from data they trust.

It’s been going well, too. Since launching in 2009, we’ve become one of the UK’s fastest growing target audience companies. We’re not about to stop growing any time soon. As a business, we’re on a mission to re-engineer data-driven marketing, and we’re on the lookout for talented people to join us.

Imagine if our data came from just one kind of person. We’d get a very nuanced view of the world. And we definitely wouldn’t have got off the ground as a business.

Although things certainly aren’t perfect, we live in a society where differences are increasingly celebrated – so we’d expect nothing else from our teams.  In fact, the GWI office is as diverse as our global data, it’s really important to us that it stays that way.  This is a place to feel at home, express yourself freely and make your mark.

#li-hybrid