SENIOR DATA SCIENTIST

Brussels
€50000 - €70000 per annum + Additonal Benefits

This vacancy has now expired. Please see similar roles below...

Senior Data Scientist
Brussels, Belgium
50K-70K€

Are you an experienced Data Scientist looking for a new opportunity? This is a chance to work with a leading ecommerce company, just undergone a new round of funding so big plans! Based in Brussels, you will be exposed to a wide range of projects.


THE COMPANY

Their approach focuses on a collaborative work environment and places data at the centre of everything they do. As a Senior Data Scientist, you will mainly be coding with Python and SQL on a diverse range of products. You will apply machine learning techniques to devise business solutions and develop new products.

THE ROLE

As a Senior Data Scientist, you will be rotating between a variety of projects through the year and in different areas of the business, including:

  • Creating experimental models to solve commercial problems
  • Customer behaviour and risk assessment
  • Attribution and customer retention
  • Using machine learning to optimise different products and personalise offers


YOUR SKILLS AND EXPERIENCE


To be considered for this position, the followings are required:

  • Solid commercial experience in coding real, large data sets
  • Machine learning
  • Proficient in coding in Python
  • Experience in SQL and statistics
  • A PhD in a numerate subject is highly desirable
  • French or Dutch speaker and fluent in English

THE BENEFITS

  • Salary of 50K-70K€ depending on experience
  • Brussels office
  • Private health-care
  • Shares


HOW TO APPLY

Please register your interest by sending your CV to Renan Lesaffre via the Apply link on this page

Send similar jobs by email
98562
Brussels
€50000 - €70000 per annum + Additonal Benefits

Similar Jobs

Salary

US$180000 - US$200000 per year + Competitive Benefits

Location

San Francisco, California

Description

Harnham is working with a massive late-stage venture that is paving the way for machine learning. Let's talk about deep learning and/or ops research!

Salary

500000kr - 700000kr per annum

Location

Stockholm

Description

Needle in a haystack opportunity to leverage music composition data and machine learning to do something revolutionary.

Salary

£65000 - £70000 per annum

Location

London

Description

Fantastic deep learning role here - very collaborative research environment. The team are looking for an expert in neural networks.

Salary

US$150000 - US$170000 per year + Equity + Benefits

Location

New York

Description

Help shape the direction of this rapidly growing startup with your AI experience!

Salary

£80000 - £90000 per annum + Bonus + Benefits

Location

London

Description

This innovative tech scalable start up start-up are looking to build develop their Machine Learning function with the addition of an experienced engineer.

Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

Using Data & Analytics To Plan Your Perfect Ski Trip

Using Data & Analytics To Plan Your Perfect Ski Trip

The Ski season may be drawing to a close, but it’s never too early to start planning for next year. Born and raised in the mountains of Austria, I have been skiing all of my life. For me, it’s about freedom, enjoying the views and forgetting about everything else.  But, since I’ve stepped into the world of Data & Analytics, I started to asked myself “what can I learn from my work that I can apply to my skiing”? After having a look around, I began to discover ways in which Data could support my passion. I’ve pulled together some of the most interesting things I’ve discovered and created this handy guide to help you prepare for your next trip. Here’s how you can use data to create the perfect ski trip.  Follow the snow Anyone who has skied before knows about the uncertainty before a trip. Will there be enough snow? Will the weather be good? Which resort is the most suited to my ability? Fortunately, somebody has already pulled this information together for you. Two "web spiders" were built via Scrapy, a Python framework used for data extraction, the first of which extracted ski resort data. The second spider, on the other hand, extracted daily snowfall data for each resort (2009 - present). After collecting Data from more than 600 ski resorts and spitting it into 7 main regions, the spiders were able to form a conclusion. The framework then pulled out key metrics, including the difficulty of runs, meaning that skiers are now able to decide which resort is most suitable for their ability.  As for the weather, onthesnow.com has recorded snowfall data from all major resorts, every year since 2009. We all know that good snow makes any trip better, so the collected data here will help skiers ensure they are prepared for the right weather, or even plan their trip around where the snow will be best.  Optimise your skis Ski manufacturing is a refined and complicated process, with each ski requiring many different materials to be built. Unfortunately, this often results in the best skis running out quickly as supply outspeeds demand.  To help speed up and improve the process, companies are implementing technologies like IBM Cognos* that monitor entire supply chains so that no matter how much demand increases, they have the materials to meet it.   Additionally, since the majority of companies have become more data-driven, production time has been reduced by weeks. Predictions for future demand has also become 50% more accurate, resulting in a drop of 30% idle time on production lines. Skip the Queue Tired of queuing for the ski lift? There’s good news. As they begin to make the most of data, ski resorts are introducing RFID* (Radio Frequency Identification) systems. These involve visitors purchasing cards with RFID chips included, allowing them to skip queues at the lifts as there is no need to check for fake passes. The data can then be utilised for gamification platforms to turn a skier’s time on the slopes into an interactive experience.  The shift towards Big Data not only has advantages for the visitors, but the management are also benefiting. In the past, it has been difficult to analyse skier’s data. Now, with automated and proper data management, the numbers can be crunched seamlessly and marketing campaigns can be directed at how people actually choose to ski.   Carve a Better Technique Skiing isn’t always easy, especially if you haven’t grown up with it. Usually, ski instructors are the solution but, in the age of Data & Analytics, there are other solutions. Jamie Grant and co-founder Pruthvikar Reddy have created an app called Carv 2.0, which allows you to be your own teacher. It works by using a robust insert that fits between the shell of your ski boots and the liner. It then gathers data from 48 pressure sensitive pads, and nine motion sensors.  This data is fed to a connected match-box size tracker unit, sitting on the back of your boots, before being relayed via Bluetooth to the Carv App on your phone. Carv can then measure your speed, acceleration and ski orientation a staggering 300 times a second.  Thanks to a complex set of algorithms this data is then converted into an easy to follow graphic display on your phone’s screen as well as verbal feedback from Carvella. The accuracy of this real-time data could make it a better instructor than any individual person.  Data & Analytics are helping streamline every part of our lives. Whilst the above can’t guarantee a perfect ski trip, they can help us minimise risks and optimize our performance and experience.  If you’re able to use data to improve day-to-day living, we may have a role for you. Take a look at our latest opportunities or get in touch with our expert consultants.  

Why Should Data Professionals Move To The Netherlands?

Why Should Data Professionals Move To The Netherlands?

You might only know the Netherlands for its windmills, amazing cheese and coffee shops, but there is so much more than meets the eye.  It might be a small country, but the Netherlands is a booming tech hub. As more and more world leading companies move their headquarters to Amsterdam, and innovative start-ups settle in, it’s the perfect time to get in on the action. Here’s why the Netherlands could be right for you.  You’re welcome in the Netherlands  The Netherlands is a small country and, thus, a very close community. But we’re very used to people  from abroad and so we have a very inclusive approach to them, especially when it comes to our national celebrations. Take King’s Day at the end of April, where the entire country celebrates the birthday of the King in all orange style. It’s my favourite day of the year and there is plenty to get involved with around the city.  Another great thing about moving to the Netherlands is that it is not necessary to learn Dutch to feel included. English is spoken throughout the country, and every day I speak to many non-Dutch candidates. In fact, I think 80 percent of the candidates I have worked with weren’t born in the Netherlands, and there is a big community of expats; perfect for someone moving from abroad to settle in.  You’ll have a great work-life balance  If you’re looking for an awesome work-life balance, then the Netherlands is the best country in Europe. It has some of the shortest working hours on the continent, an informal culture and a huge emphasis on life outside of the office. Part-time employment is common and our flexible freelance culture sees many entrepreneurs working from their local café instead of being stuck in an office. Dutch people value home time as much as work time and, typically, both parents tend to spend a lot of time with their kids.  Our culture is very ‘gezellig’, if you know what I mean. No? Well, Gezellig is my favourite Dutch word and, when I am back home, I use it all the time. There is no direct translation for it, but it’s the best way to describe the Dutch lifestyle. Meaning cosy friendliness (similar to hygge in Danish), gezellig is one of the loveliest things about life in Holland. From the snug tiny brown cafés and super modern bistros, to spending time at home with your loved ones - being gezellig is central to Dutch life.  Also, let’s not forget that the Netherlands is the country with the best biking infrastructure in the world. In fact, we have more bikes than people! No matter what the weather conditions are, Dutch people cycle everywhere.  You’ll have the chance to work for amazing companies  Although the Netherlands did not manage to qualify for the football World Cup last year, the Dutch are clearly becoming one of the finest players in Europe’s technology industry. I have seen a lot of tech companies begin to move over, with some even relocating their headquarters, such as Booking.com and Sony. The technology-driven city that Amsterdam has become has made it a popular area for start-ups as well, with so much good tech talent making it even more attractive for companies to settle there.  You’ll be earning good money  The Netherlands is one of the most developed countries in the world and the Dutch government offer a great amount of support to those moving there to work. To attract highly skilled migrants, expats can apply for a 30 percent tax break scheme: an amazing benefit! The government also helps small businesses grow by offering tax breaks. The Dutch property market is a complex one but, like any other big city, location is everything. Cities like London or Oslo are a lot more expensive to live in than Amsterdam, where there are loads of up and coming neighbourhoods. These hubs are where you’ll find tech start-ups locating their businesses and are fun, modern, and affordable places to live. The Netherlands has quickly become the place to live and work for people in the Data & Analytics market. Amsterdam, with its amazing variety of tech companies, in particular, is booming. And, with an excess of ‘gezelligheid’, great tax breaks, and a wonderful work-life balance, it could well be the perfect place for your next step.  Want to become part of it? We are recruiting for various Data & Analytics roles in the Netherlands. Take a look at our latest opportunities or get in touch with me to find out more. 

Recently Viewed jobs