Data science services.

Take advantage of our skills and experience in solving the most challenging problems. We build innovative solutions that unlock insights from data, helping our clients beat the competition in demanding global markets like New York City and London.

Estimate your project

Here’s how we deliver data analytics services .

Our core technology is the Python programming language which offers powerful functionality behind the simple syntax that guarantees top performance. Thanks to the handy libraries that cover areas ranging from analysis to machine learning, Python is the best technology for such projects.

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We apply proven software craftsmanship practices in our work. That means we implement clean code, static code analysis and automated tests, code reviews, and more.

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Iterative and evolutionary process

We start with improving input quality and then move on to algorithm optimization. We dedicate time to experiment with alternative methods before delivering your solution.

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From building the infrastructure, through ETL processes and task scheduling, to API design and integration of predictive models with end-user systems - we’ve got you covered.

These two principles help us deliver top value to our clients in various industries:

  • improving input quality improves the end results,
  • choosing the right metrics paves the way to developing the best solutions.

You can count on our expertise at every stage of the process: data collection, processing and the Extract, Transform and Load (ETL) process, cleaning and structuring, analysis (including visualization), and building predictive models.

Data Science Solutions.

Companies are investing in tools that improve their decision-making processes, automate tasks, and boost their operational efficiency. Here are a few disciplines that we believe have the greatest potential in business applications. After all, we’ve seen the benefits they bring in our consulting projects.

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Analytics and visualizations

Let your organization benefit from quality visualization and analytics.

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Crawlers and aggregations

Unlock the potential of vast repositories.

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Equip your solution with powerful and functional search engines.

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Learning (ML)

Take advantage of a cutting-edge technology everyone’s talking about.

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Natural Language Processing (NLP)

Analyze massive amounts of textual content with a few clicks.

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Computer vision and image recognition (CV, OCR)

Benefit from computer vision solutions.

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Recommendation systems

Help your customers find what they need with automatically generated recommendations.

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Make your development team more productive with our tools.


Data-driven projects require the use of analytics tools, technologies, and languages that help teams extract insights to deliver tangible business value. Python is one of the most popular technologies used for this purpose. We happen to have outstanding expertise in Python and its many tools that stand to help every company out there achieve its business goals.

Here are the technologies we swear by when developing data science projects for our partners. Our team members are constantly learning new things so expect this list to grow quickly.

NumPy Scikit learn PyTorch Pandas Tensor Flow Apache Spark

Have a look at our blog for helpful resources on technology, project management, and team building.

Check out our work

Building an AI-powered recommendation app for a Polish startup.
Clutch - note Bitmap Created with Sketch.

Letme is a web-based platform that helps users find games, electronics, and travel opportunities thanks to a sophisticated recommendation engine that builds on artificial intelligence (AI).

Data Science For Business FAQ.

  • How can enterprises benefit from data science software?

    faq icon

    Data science solutions help enterprises to identify key market and consumer trends to stay competitive, equips management with solid data for data-driven decision making, and increases the efficiency of employees in handing core tasks. Data science tools allow businesses to identify and act upon new opportunities and promote low-risk action plans relying on real-time data and predictive analytics.

  • Why hire a data engineer?

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    The work of data engineers makes it possible to build solutions that bring organizations real-time, responsive data to help them make the smartest decisions. A data engineer builds the foundation, and provides solid reporting and standard models. Hiring a talented data engineer is important and should be done before bringing a data scientist on board.

  • How will you inform me about the progress?

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    We keep our clients updated using a project management tool like Jira (we update all of the project's progress in real time, the code repository (real-time access), and the staging environment where the latest build will be accessible through a browser for testing.

  • How soon can you deliver my solution?

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    Answering this question is next to impossible. We can start working on your project within up to 4 weeks, but its delivery will depend on its size, how many people are to be involved, and what the forecasted budget is.

  • What technologies do you use in data science projects?

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    Our main technology is Python and its collection of data science tools such as Pandas, TensorFlow, scikit learn, NumPy, Apache Spark, and many more. Our team members are constantly learning new approaches and tools, so this list is constantly growing.

Ready to kick off your data science project?

contact us and receive a bespoke proposal in 2 business days


Schedule a call


Sunscrapers Sp. z o.o.
ul. Słomińskiego 7/254
00-195 Warsaw

New Business
[email protected]

[email protected]


Clutch award top Python & Django Developers 2019 Clutch award top financial services software developers 2019 Clutch award top B2B companies Poland 2019 Clutch award top developers Poland 2017


Sunscrapers Sp. z o.o.
ul. Słomińskiego 7/254
00-195 Warsaw
New Business
[email protected]

[email protected]

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