The 100 Best Data Science Companies - 2023 Reviews

Top Data Science Companies

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Top Data Science Consultants

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    SumatoSoft

    SumatoSoft

    5
    (longtail:agencyCard.reviewsCount)

    We help companies digitalize their businesses.

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    19 works in Data Science
    Active in the Boston, United States
    From €10000 for Data Science
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    Kube Agency

    Kube Agency

    5
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    Aquí empieza el mejor Marketing Digital para tu próximo proyecto. ¡Bienvenido!

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    7 works in Data Science
    Active in the Barcelona, Spain
    From €599 for Data Science
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    Lunar

    Lunar

    4.5
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    We help you to build delightful and powerful digital products that make your business strive.

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    21 works in Data Science
    Active in the Antwerp, Belgium
    From €1000 for Data Science
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    KERN-IT

    KERN-IT

    5
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    We craft digital products from idea to production. We help you to digitalize your business.

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    1 work in Data Science
    Active in the Brussels, Belgium
    From €3000 for Data Science
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    StdOut S.r.l.

    StdOut S.r.l.

    (longtail:agencyCard.reviewsCount_zero)

    Be better

    6 works in Data Science
    Active in the Palermo, Italy
    From €5000 for Data Science
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    Programic

    Programic

    4.8
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    Pioneers in Web en Mobile App Development

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    5 works in Data Science
    Active in the Deventer, Netherlands
    From €3000 for Data Science
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    Loop Crew

    Loop Crew

    4.9
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    Cabinet de conseil et agence de développement informatique 🇫🇷

    longtail:agencyCard.recommended
    No work in Data Science
    Active in the Paris, France
    From €5000 for Data Science
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    Fast & Fresh - Psychologie des usagers, Connexion à la demande client (Fit to market) & Design d'expérience client

    Fast & Fresh - Psychologie des usagers, Connexion à la demande client (Fit to market) & Design d'expérience client

    4.8
    (longtail:agencyCard.reviewsCount)

    Depuis 2009, nous aidons Deezer, Allianz, UCPA, Leclerc, IKEA... à reconnecter à leurs utilisateurs

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    34 works in Data Science
    Active in the Paris, France
    From €5000 for Data Science
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    STEPS
    4.9
    (longtail:agencyCard.reviewsCount)

    Web Development and Data Science Agency

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    24 works in Data Science
    Active in the La Goulette, Tunisia
    From €1000 for Data Science
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    DEV@WORK BV

    DEV@WORK BV

    4.9
    (longtail:agencyCard.reviewsCount)

    Bridging multiple scaled ideas to Digital high-end customization

    longtail:agencyCard.recommended
    21 works in Data Science
    Active in the Brussels, Belgium
    From €1000 for Data Science
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    Wiratek Consulting
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    To boldly go where no one has before.

    No work in Data Science
    Active in the South Jakarta City, Indonesia
    From €1000 for Data Science
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    mso digital

    mso digital

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    mso digital – Deine Digital Marketing Agentur für passgenaue Performance

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    3 works in Data Science
    Active in the Osnabrück, Germany
    From €1000 for Data Science
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    Valkuren

    Valkuren

    5
    (longtail:agencyCard.reviewsCount)

    Unlock The Power Of Data

    2 works in Data Science
    Active in the Brussels, Belgium
    From €1000 for Data Science
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    UO Solutions

    UO Solutions

    4.6
    (longtail:agencyCard.reviewsCount)

    Transfórmate digitalmente y haz crecer tu negocio.

    longtail:agencyCard.recommended
    21 works in Data Science
    Active in the Madrid, Spain
    From €1000 for Data Science
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    Harborn digital BV

    Harborn digital BV

    4.2
    (longtail:agencyCard.reviewsCount)

    Drive Digital Forward

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    longtail:agencyCard.awardWinner
    3 works in Data Science
    Active in the Rotterdam, Netherlands
    From €1000 for Data Science
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    Under Reality

    Under Reality

    5
    (longtail:agencyCard.reviewsCount)

    Accelerating Brand Value Through Digital Innovation

    longtail:agencyCard.awardWinner
    9 works in Data Science
    Active in the Amsterdam, Netherlands
    From €5000 for Data Science
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    B12 Consulting

    B12 Consulting

    5
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    9 works in Data Science
    Active in the Ottignies-Louvain-la-Neuve, Belgium
    From €1000 for Data Science
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    Symantra

    Symantra

    5
    (longtail:agencyCard.reviewsCount)

    CRM | Partner Portal & Extranet | AI Solutions | Automations & Integrations | Web & Mobile Apps

    1 work in Data Science
    Active in the Woluwe-Saint-Pierre, Belgium
    From €1000 for Data Science
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    Endare

    Endare

    4.6
    (longtail:agencyCard.reviewsCount)

    Your digital innovation partner

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    13 works in Data Science
    Active in the Ghent, Belgium
    From €1000 for Data Science
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    TRENDS Digital
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    Digital with a purpose. Over 10 years of success.

    No work in Data Science
    Active in the Bangkok, Thailand
    From €1000 for Data Science

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Tips for choosing the best data science company

Data ScienceData Science

Data science is a process of extracting valuable insights from data. It's a relatively new field that has emerged from the intersection of statistics, computer science, and business. Data science companies use a variety of techniques to analyze data and find trends or patterns. If you're looking for a data science company to help you with your next project, here's a list of the top firms in the industry. These companies have a proven track record of delivering results and can help you take your business to the next level.

What does data science mean ?

Data science is a branch of computer science that deals with the extraction of knowledge from data. It is a interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured.

Data science is the process of extracting knowledge from data. It is a interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured.

Data science is a relatively new field that has emerged from the intersection of computer science, statistics and machine learning. It is sometimes referred to as data-driven science or predictive analytics.

At its core, data science is about using data to solve problems. It involves understanding the problem, collecting data, cleaning and preparing the data, applying statistical and machine learning techniques to the data, and interpreting the results.

Data science is used in a wide variety of fields, such as healthcare, finance, marketing, manufacturing, retail, and many others. In each of these fields, data scientists use their skills to help organizations make better decisions, improve operations, and understand their customers better.

Some of the tasks that data scientists typically perform include exploratory data analysis, predictive modeling, statistical analysis, machine learning, and deep learning.

In a nutshell, data science refers to the field of computers that analyze large sets of data. These data can be obtained from any source. The process involves analyzing the collected information and determining its use. With the help of computers, it is possible to analyze big datasets and make decisions based on the analysis. However, this field of research requires extensive business acumen and domain knowledge. The application of data science in business is a growing trend, and businesses of all sizes are benefiting from its versatility.

Data science vs data analytics vs data engineering: which one to choose

There are a few key ways in which data science, data analytics, and data engineering differ:

The types of tasks they perform: Data scientists typically focus on tasks like model building and testing, data visualization, and feature engineering. Data analytics focuses more on querying data and performing statistical analysis. Data engineers focus on tasks like data architecture, data governance, and ETL (extract, transform, load) processes.The tools they use: Data scientists often use tools like R, Python, and SAS for their work. Data analytics professionals may use tools like Excel, Tableau, and Qlik. Data engineers use tools like Hadoop, Spark, and Pig.The skills they need: Data scientists need strong analytical and mathematical skills. They should be able to code and be familiar with machine learning algorithms. Data analytics professionals need strong statistical skills. They should be able to use data visualization tools and understand database concepts. Data engineers need strong programming skills. They should be able to work with big data platforms and understand data modeling concepts.The size of the data sets they work with: Data scientists typically work with large data sets. Data analytics professionals may work with smaller data sets. Data engineers typically work with very large data sets.The scope of their work: Data scientists typically work on projects that are specific to a certain business or industry. Data analytics professionals may work on projects that are more general in nature. Data engineers typically work on projects that involve the entire enterprise.

What is a data science company ?

A data science company is a company that uses data to help their clients make better decisions. Data science is a relatively new field that combines statistics, computer science, and business to help organizations make better use of their data. Data science companies use a variety of techniques to help their clients, including predictive analytics, machine learning, and natural language processing.

Data science companies have become increasingly popular in recent years as the world has become more data-driven. Organizations of all sizes are starting to realize the power of data and are looking for ways to use it to their advantage. Data science can be used to improve customer service, target marketing campaigns, and even predict future trends.

There are a few things that set data science companies apart from other data-related businesses. First, data science companies tend to be very data-driven themselves. They use data to help them make decisions about their own business, such as where to open new offices or how to allocate resources.

Second, data science companies are usually very technology-focused. They often use cutting-edge technologies, such as predictive analytics and machine learning, to help their clients.

Third, data science companies tend to be very consultative. They work closely with their clients to understand their needs and goals. Then, they use their data expertise to help their clients achieve those goals.

Data science companies are a relatively new type of business, but they are quickly gaining popularity. Organizations of all sizes are starting to realize the power of data and are looking for ways to use it to their advantage. If you are interested in working with data, then a data science company may be the right fit for you.

7 things that data science consultants do:

  • Optimize pricing and product strategies using data
  • Inform business decisions
  • Data analytics
  • They can help you choose the right algorithms for your data
  • Help you visualize your data
  • Help you improve your operations
  • Data science consultants can help you create custom dashboards and reports.

5 Questions to ask to data science companies:

  • What are the company's data science success stories?
  • What is the company's insurance coverage?
  • What is the company's pricing for data science services?
  • Are there any hidden fees or charges associated with your company?
  • What is the company's competitive advantage?