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Data Scientist

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Apply machine learning and deep learning to real client problems

  • Build data-driven solutions for clients across domains like healthcare and banking

  • Deliver the most impactful solution in the quickest, easiest way

From the employer’s posting
based on the latest machine learning models and deep learning algorithms
such as drug discovery in healthcare, fraud detection in banks, the development of recommendation systems in the retail sector
Your goal is therefore to create the most impactful solution possible in the quickest and easiest way possible

What you’ll bring

All qualifications

Core experience

  • Master's degree (or equivalent through experience) in a field that is highly data-driven.
  • Experience with some of the following data science techniques: supervised and unsupervised learning models, deep learning, anomaly detection, recommender systems, natural language processing, computer vision and reinforcement learning.
  • Experience in one of the following languages: Python, R, Spark, Scala, Java or C++.

Preferred experience

  • Experience with big data and platforms such as Azure Machine Learning Services and Amazon SageMaker is a plus.
Qualification wording
Master's degree (or equivalent through experience) in a field that is highly data-driven.
Experience with some of the following data science techniques: supervised and unsupervised learning models, deep learning, anomaly detection, recommender systems, natural language processing, computer vision and reinforcement learning.
Experience in one of the following languages: Python, R, Spark, Scala, Java or C++.
Experience with big data and platforms such as Azure Machine Learning Services and Amazon SageMaker is a plus.
Education & alternatives
- At least 3+ years of experience in Data Science. - Master's degree (or equivalent through experience) in a field that is highly data-driven. - Experience with some of the following data science techniques: supervised and unsupervised learning models, deep learning, anomaly detection, recommender systems, natural language processing, computer vision and reinforcement learning.
Apply at Sopra Steria

Posting record

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Open 6 monthsWe first saw this posting 184 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
May 13, 2026184 days ago
Recorded sightings
389
Last seen by us
Nov 13, 2026
Employer says posted
Oct 17, 2025

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 184

Up longer than most. Similar jobs usually come down between day 8 and day 60.

Well past Sopra Steria’s usual: its jobs come down by about day 18.

From 11,783 similar postings that came down, and 315 of Sopra Steria’s. Coming down is not always a hire.

Sopra Steria is hiring

15 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down at a usual pace
  • 33% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • C++
  • Java
  • Python
  • R
  • Scala
  • Azure
  • SageMaker
  • Spark
Where the posting names them
- Experience with big data and platforms such as Azure Machine Learning Services and Amazon SageMaker is a plus. - Experience in one of the following languages: Python, R, Spark, Scala, Java or C++. - You are resident in Belgium and look forward to working a few days a week at the client's office.
- Experience with some of the following data science techniques: supervised and unsupervised learning models, deep learning, anomaly detection, recommender systems, natural language processing, computer vision and reinforcement learning. - Well versed in open-source software and libraries in Python and/or R for machine and deep learning. - Extensive experience in building and implementing advanced analytics solutions backed up with some reference cases.
- Extensive experience in building and implementing advanced analytics solutions backed up with some reference cases. - Experience with big data and platforms such as Azure Machine Learning Services and Amazon SageMaker is a plus. - Experience in one of the following languages: Python, R, Spark, Scala, Java or C++.

Your next step

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Has Sopra Steria posted this job before?

Yes. We’ve followed one other Data Scientist job there since July 2026. It is still up.

  1. This jobUp 185 days so far, first seen May 13
  2. StavangerStill up after 130 days, first seen Jul 6

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,403, the most 2,949, and the latest week had 2,098.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Job Description

Are you brimming with fresh ideas to lead our Data Science team in providing data-driven solutions to our customers based on the latest machine learning models and deep learning algorithms? If you are looking for a new challenge with a steep learning curve, and the support of a dynamic team, you may be our next Data Scientist.

As a Data Scientist, you will dive into the world of artificial intelligence. You will apply your skills to real scenarios and in different domains, such as drug discovery in healthcare, fraud detection in banks, the development of recommendation systems in the retail sector, and more. 

Qualifications

We’re seeking passionate colleagues who are eager to push the boundaries in digital transformation and technology consulting. At Sopra Steria, you’ll have the opportunity to grow your skills in a constructive, collaborative team environment, working on impactful projects that drive change for our clients. If you thrive on challenge and meet (most of) the qualifications below, we look forward to your application! 

You are fully convinced that data science isn’t a hype, but you also believe that, in order to be valuable and really make a company smarter, it must be done right. Your goal is therefore to create the most impactful solution possible in the quickest and easiest way possible so that real value can be extracted from data and artificial intelligence. 

You’ll have knowledge and experience of the following:

  • At least 3+ years of experience in Data Science.
  • Master's degree (or equivalent through experience) in a field that is highly data-driven. 
  • Experience with some of the following data science techniques: supervised and unsupervised learning models, deep learning, anomaly detection, recommender systems, natural language processing, computer vision and reinforcement learning.
  • Well versed in open-source software and libraries in Python and/or R for machine and deep learning.
  • Extensive experience in building and implementing advanced analytics solutions backed up with some reference cases.
  • Experience with big data and platforms such as Azure Machine Learning Services and Amazon SageMaker is a plus.
  • Experience in one of the following languages: Python, R, Spark, Scala, Java or C++.
  • You are resident in Belgium and look forward to working a few days a week at the client's office.
  • You're fluent in Dutch or French, have a strong grasp of the other, and speak English fluently as well.

What we can offer you

As a member of one of Europe’s largest digital solutions providers, you’ll benefit from extensive career development opportunities, both local and international. At the Sopra Steria Academy, you’ll be part of a dynamic network of 56,000 professionals at all stages of their careers. With a wide array of offices to explore, you can find your ideal location and take the next step in your career.  

You’ll become a part of a major Tech player in Europe recognized for its consulting, digital services, and software development. On top of that, you’ll join the OptimAi Team: the partner for advanced, intelligent solutions using AI. 

Additional Information

Our employees are known for making bold choices and delivering results. Work among high-level professionals at the forefront of corporate software solutions and innovation at Europe’s Leading Digital Service Provider.    

We offer a generous employee benefits package that includes: 

  • A company car or mobility budget
  • Laptop, phone & phone subscription
  • A competitive salary and indefinite contract
  • Insurance coverage, meal vouchers, eco-cheques, and more
  • Continuous learning opportunities through the Sopra Steria Academy to support your career development

People are the cornerstone of our success. That’s why we aspire to be bolder together. Our goal is to build high-functioning teams and healthy team environments that inspire and help each other to deliver excellence for each of our customers.   

Excited about this job opportunity? Ready to shape the world with us? Great! We are looking forward to your application! 

______

Sopra Steria is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, ancestry, nationality, color, family or medical leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, gender (including pregnancy), sexual orientation or any other characteristic protected by applicable local laws, regulations and ordinances. We foster a work environment that is inclusive and respectful of all differences.

Company Description

Sopra Steria offers tailored, end-to-end corporate technology and software solutions to help clients make bold choices and deliver results. Successfully so! With more than 56.000 colleagues in 30 countries, we rank as Europe’s leading digital solutions provider. Some of the most successful companies in Europe rely on our technology due to our commitment to innovation, collaboration, and value in business development.

The world is how we shape it. Let’s shape it together. 

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Pay

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Location & working pattern

Flanders, Belgium

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Work authorization
______ Sopra Steria is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, ancestry, nationality, color, family or medical leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, gender (including pregnancy), sexual orientation or any other characteristic protected by applicable local laws, regulations and ordinances. We foster a work environment that is inclusive and respectful of all differences. Company Description

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