Drive business growth with proven AI expertise

Data Science UA brings 9+ years of applied experience and a team of 80+ mature AI experts into the competition for companies that strive to move faster, work smarter, and achieve next-level business success! 

What sets us apart?

With a strong portfolio of 200+ custom AI projects, we serve clients in 20+ countries, bringing together deep technical skills and business know-how. Whether it's AI agent-powered workflows or custom LLM systems, we deliver proven results.

Our experts speak both the language of tech and business to develop AI that ideally fits your needs, smoothly integrates with your systems, and gets adopted by your teams in no time.

Our core services

  • Custom AI development
  • Comprehensive AI consulting
  • Global tech talent recruitment
  • Corporate AI training for tech and business teams

The benefits our clients get

  • Actionable AI solutions built for real-world applications
  • Expert hiring and scalable team building
  • Unparalleled knowledge and delivery speed
  • Transparent collaboration and pricing models

Want AI to bring measurable results without wasting resources? 

Data Science UA offers a transparent and straightforward approach for not-so-simple solutions. That's how we make AI work for you!

United Kingdom United Kingdom
10 York Road, London, London SE1 7ND
Switzerland Switzerland
CreativeSpace Luegislandstrasse 105, Zurich, Zurich 8051
$25 - $49/hr
50 - 249
2016

Service Focus

Focus of Artificial Intelligence
  • Deep Learning - 30%
  • Machine Learning - 40%
  • Text Annotation - 20%
  • AI Agent Development - 10%

Industry Focus

  • Manufacturing - 20%
  • Retail - 20%
  • E-commerce - 20%
  • Financial & Payments - 15%
  • Oil & Energy - 15%
  • Transportation & Logistics - 10%

Client Focus

80% Small Business
20% Medium Business

Review Analytics of Data Science UA

5
Total Reviews
5.0/5
Overall Rating
0
Recent Reviews

What Users Say

Data Science UA builds an ecosystem around Data Science and AI in Ukraine and worldwide
Oleksandr Romanko
Oleksandr Romanko , Head of Financial Risk Quantitative Research at at SS&C Technologies
Great Cooperation & very effective communication
Ksenia Prozhogina
Ksenia Prozhogina , VP of People at 3DLOOK
Recruitment service
Ievgen Shevchenko
Ievgen Shevchenko
Sales forecasting algorithms for eCommerce Company.
Barrel Fischer
Barrel Fischer , Head of IT Engineering at Tchibo
Real-time drilling data logging.
Bogdan Kowalski
Bogdan Kowalski , IT Officer at STORAG ETZEL GmbH

Detailed Reviews of Data Science UA

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Oleksandr Romanko

Data Science UA builds an ecosystem around Data Science and AI in Ukraine and worldwide

We organized a number of educational events, courses and meetups together with Data Science UA. The company provides consulting services in AI, opens AI R&D centers for companies, and builds an ecosystem around Data Science, ML and AI in Ukraine and worldwide. Collaboration with Data Science UA was highly beneficial.

What service was provided as part of the project?

Artificial Intelligence

Rating Breakdown

  • Quality
  • Schedule & Timing
  • Communication
  • Overall Rating
Ksenia Prozhogina

Great Cooperation & very effective communication

I am VP of People at 3DLOOK, a rapidly growing startup that is providing a new level of a customized approach to the apparel and uniform manufacturers and online shoppers, using patented AI technology combined with 3D, CV, ML.
As of rapid growth of product last year we required new talented team members within the Data Science department to develop our solutions within the set deadline and customer requirements.
Data Science UA is the most known and popular hiring agency in Ukraine to widen the Data Science team in short terms without quality loss. We provided the company with the main requirements for the potential candidates, discussed additional details, then the company started the search, so we had weekly calls to discuss and check the main lists of proposed candidates.
During our collaboration, we've widened our Data Science team with 5 new employees with the company's active assistance.

What was the project name that you have worked with Data Science UA?

Cooperation

What service was provided as part of the project?

Other Services, Artificial Intelligence

Rating Breakdown

  • Quality
  • Schedule & Timing
  • Communication
  • Overall Rating

Project Detail

  • In Progress
Ievgen Shevchenko

Recruitment service

I am Operations Director at Captify, programatic advertising company. Captify’s pioneering Programmatic Search Intelligence (PSI) uniquely fuses multi-channel media with Search Intelligence, solving the lack of consumer intent and recency of data available in the Programmatic ecosystem.
Data Science was the first company we started working with ~4 years ago and I could say only positive words. Individual approach for candidate search, market analysis with quick and appropriate response on changes. DS UA is covering process whole process of communication with candidate and in some cases offer's management. They helped us to build many teams with different tech skill sets and as a result give us ability work in the most efficient way

What service was provided as part of the project?

Artificial Intelligence

Rating Breakdown

  • Quality
  • Schedule & Timing
  • Communication
  • Overall Rating
Barrel Fischer

Sales forecasting algorithms for eCommerce Company.

I am the head of the IT engineering department at an e-commerce company. Our goal was to improve key indicators. Sales forecasting algorithms look for patterns in these data. The identified patterns are further used to assess the general trends of the deals to build forecasts with a high level of accuracy. Data Science UA managed to implement everything correctly. We prepared a high-level requirements paper outlining the required results, and Data Science UA responded with a response to help us uncover our ideas. They quickly got us a working prototype and helped to integrate it to a final solution.

What service was provided as part of the project?

Artificial Intelligence

Rating Breakdown

  • Quality
  • Schedule & Timing
  • Communication
  • Overall Rating

Project Detail

  • $10001 to $50000
Bogdan Kowalski

Real-time drilling data logging.

We're an oil and gas company. I'm a Head of IT department.
We aim to maximize production and profits using innovative software and data collection and analysis.
Data Science UA helped to allow drilling data to be recorded properly & analyzed in real-time. It also includes a wide range of data about environmental conditions such as temperature, oil reserve levels, and equipment performance or status. Managing this data and using it as a strategic asset significantly impacts the financial performance of the company. Data Science UA helped us analyze historical and real-time images & data collected from databases, satellites, drones, IoT sensors etc. This data now helps us a lot, they also helped with the visualization so that the information can be displayed through an interactive online dashboard.

What service was provided as part of the project?

Artificial Intelligence

Rating Breakdown

  • Quality
  • Schedule & Timing
  • Communication
  • Overall Rating

Project Detail

  • $50001 to $200000

Client Portfolio of Data Science UA

Project Industry

  • Enterprise - 8.3%
  • Art, Entertainment & Music - 8.3%
  • Manufacturing - 8.3%
  • Oil & Energy - 8.3%
  • E-commerce - 16.7%
  • Business Services - 8.3%
  • Retail - 16.7%
  • Transportation & Logistics - 8.3%
  • Financial & Payments - 8.3%
  • Healthcare & Medical - 8.3%

Major Industry Focus

E-commerce

Project Cost

  • Not Disclosed - 41.7%
  • $10001 to $50000 - 33.3%
  • $0 to $10000 - 25.0%

Common Project Cost

Not Disclosed

Project Timeline

  • Not Disclosed - 50.0%
  • 1 to 25 Weeks - 41.7%
  • 26 to 50 Weeks - 8.3%

Project Timeline

Not Disclosed

Portfolios: 12

AI platform for client-consultant interactions

AI platform for client-consultant interactions

  • AI platform for client-consultant interactions screenshot 1
Not Disclosed
47 weeks
Enterprise

Tasks

  • Establish a single client-consultant touchpoint for client questionnaires.
  • Enable advanced analytics for consultants.
  • Generate HRPP, Salary reports, and Graded Pay Structure.

Challenges

The main challenge was to create a system that ensures continuous availability, enhances customer experience, boosts consultant effectiveness, and minimizes their data-related tasks.

Solutions

  • Developed a secure, single-touchpoint service with dynamic dashboards and drill-down capabilities.
  • Built an autonomous system with a modern, user-friendly interface.
  • Used historical data for predictive analytics and personalized recommendations.

Outcomes

Improved customer satisfaction with a user-friendly service, enhanced consultants’ effectiveness, enabling greater project scalability, reduced consultants’ data tasks, freeing resources, and showcased EY’s commitment to modern solutions and brand value.

Core ML Engineers team for viral AI app development

Core ML Engineers team for viral AI app development

  • Core ML Engineers team for viral AI app development screenshot 1
Not Disclosed
4 weeks
Art, Entertainment & Music

Tasks

  • Build the first core engineering team of AI/ML specialists.
  • Identify top-tier candidates with expertise in cutting-edge AI research and development.
  • Establish long-term collaboration on hiring for R&D teams to support innovation.

Challenges

  • Defining highly specific criteria for candidates aligned with Reface’s unique product development goals.
  • Attracting top talent in a competitive AI landscape.

Solutions

  • Conducted a detailed analysis of Reface’s technical needs and long-term R&D objectives.
  • Implemented a targeted recruitment strategy leveraging industry networks and AI-specific talent pools.
  • Created a streamlined hiring process to evaluate both technical skills and cultural fit.

Outcomes

  • Successfully hired Reface’s first core team of AI/ML engineers.
  • Established a long-term partnership for ongoing AI talent acquisition.
  • Supported Reface in maintaining its position as a globally recognized leader in AI-driven personalized content creation.
CV-powered safety monitoring platform

CV-powered safety monitoring platform

  • CV-powered safety monitoring platform screenshot 1
$10001 to $50000
Not Disclosed
Manufacturing

Tasks

  • Develop AI algorithms with dashboards and web portal development
  • Implement and optimize CV algorithms for complex industrial environment cases
  • Data preparation and annotation for industrial use cases.

Challenges

The project involved developing multiple algorithms and solutions. Additionally, implementing and integrating web portals and dashboards with the platform required extensive data preparation and annotation.

Solutions

  • Designed and optimized CV algorithms for complex industrial scenarios
  • Integrated real-time location systems (RTLS) and other sensors with CV outputs
  • Developed dashboards and web portals for seamless usability.

Outcomes

  • Achieved design, implementation, and optimization of CV algorithms for complex environments
  • Successfully developed and optimized pipelines for performance improvement
  • Delivered minimal involvement in day-to-day tasks, thanks to local leadership and efficient solutions.

Technologies used

  • Python, TensorFlow, PyTorch, C++
  • RTLS, Lidar, 1080p camera, thermal camera
Predictive model for green energy supply forecasting

Predictive model for green energy supply forecasting

  • Predictive model for green energy supply forecasting screenshot 1
$10001 to $50000
Not Disclosed
Oil & Energy

Tasks

  • Develop a predictive model on the wind energy production forecast
  • Analyze historical data for accuracy
  • Implement and test the model

Challenges

Accurately forecast wind energy production based on historical data.

Solutions

  • Developed a predictive model for wind energy production
  • Utilized historical data for training and testing the model
  • Implemented machine learning techniques to enhance forecast accuracy

Outcomes

  • Highly preciseodel forecasts – with Mean Absolute Percentage Error less than 10%.
NLP algorithm for real-time insights extraction

NLP algorithm for real-time insights extraction

  • NLP algorithm for real-time insights extraction screenshot 1
$0 to $10000
Not Disclosed
E-commerce

Client:
Ukrainian startup that provides market research services in the retail industry. The company collects data from all the popular retail stores in Ukraine and sells insights extracted. In particular, the company provides price-setting assistance based on competitor analysis

Challenge:

The company has encountered a problem while adding new products to its database. A simple comparison did not work since identical products may have different names in different stores, and not all stores provide complete information about the product's characteristics. Therefore, a more profound approach was required. 
 

Solution:
Our team has developed an algorithm based on word embeddings (vector representations of words). Using BERT-based library sentence-transformers, we incorporated the power of natural language processing for this task. First, by calculating the embedding of the product name and then comparing it with the embeddings of products in the database, we managed to find items with a certain similarity threshold.


Results:
The developed algorithm can now quickly find similar products in a vast database, and it is possible to set a threshold for the desired similarity. The system also extracts all the possible characteristics from the product name (such as size, brand, and country of origin).
 

Technology stack:
Python (nltk, sentence-transformers, scipy, pymongo), MongoDB, Docker.

AI-powered outreach platform for sales acceleration

AI-powered outreach platform for sales acceleration

  • AI-powered outreach platform for sales acceleration screenshot 1
$10001 to $50000
Not Disclosed
Business Services

Tasks

  • Enable real-time audio and text recognition
  • Provide instant insights for sellers
  • Develop a new feature for customizing video and audio content

Challenges

Enabling real-time audio and text recognition, providing instant insights for sellers. Developing a new feature for customizing video and audio content, aiming to enhance the platform’s functionality.

Solutions

  • Released real-time audio and text recognition & processing to offer immediate information to sellers
  • Developed a new feature of video and audio customization
  • Data annotation for multilanguage audio data

Outcomes

  • Immediate information delivery through real-time recognition
  • Enhanced platform functionality with customizable video and audio content
  • Multilanguage data annotation for broader reach
Automated price optimization with ML

Automated price optimization with ML

  • Automated price optimization with ML screenshot 1
Not Disclosed
4 weeks
Retail

Client

A national store network with hundreds of locations in Ukraine. The field is highly competitive with several other similar networks.

Challenge

Production sale prices are changing with time. Sometimes they are lagging behind the demand and competitors. The network wanted the exactly optimal prices to maximize the revenue, which was challenging to do manually.

Solution

The customer turned to Data Science UA to develop such a system. The design took into account multiple surrounding factors. It distributed the goods in categories and adjusted prices for each of them. The result fitted the price-demand distribution to improve the revenue for each product.

Technology stack

Python

ML-powered review classification system

ML-powered review classification system

  • ML-powered review classification system screenshot 1
$0 to $10000
Not Disclosed
Transportation & Logistics

Client:

A big taxi management company with reviews in Ukrainian, English, etc.
 

Challenge:

Our main challenge was to build a reliable classification system that would allow the internal analyst team to quickly and efficiently analyze text reviews in multiple languages. Additional challenges were: text quality (grammar, spelling issues distort prediction quality), multilingual pipeline (no out-of-the-bag model can equally well work with different languages), quality control (business-specific metrics had to be defined to assess the performance), and custom-tailored categories (not just general ones, but also those defined by industry).
 

Solution:

First, we built a preprocessing pipeline with language detection, spelling correction, machine translation, etc. Then, on top of it, a custom model based on TCN layers was trained to detect business-specific categories in the reviews. Translation quality, precision, and recall metrics for each specific category were checked with the predefined business goal.
 

Results:

A fast, reliable tool that allowed the client’s quality assurance team to quickly, easily analyze driver’s performance, provide overall user satisfaction metrics, promptly solve critical issues.
 

Technology stack

Python, NLTK, Transformers, Tensorflow, etc.

ML model for transaction classification

ML model for transaction classification

  • ML model for transaction classification screenshot 1
Not Disclosed
5 weeks
Financial & Payments

The client's global mobile banking app puts bill payment, banking, credit, investments all in one single platform. It connects to users' existing bank accounts, allows the user to pay all bills from one place. The main task for Data Science UA was to create and use an ML model for the classification of all transactions. So you as a user have an access to the necessary tools to stay on track with your financial goals in a cost-efficient way. Users can pay their bills and track important financial milestones through one integrated experience.​

AI-powered review classification for E-commerce

AI-powered review classification for E-commerce

  • AI-powered review classification for E-commerce screenshot 1
$0 to $10000
Not Disclosed
E-commerce

Client:

Eastern review aggregator company that assembles text reviews from multiple resources (Google reviews, Yelp, etc.).

Challenge:

Build and deploy a model to categorize English text reviews according to the business-predefined categories. The main challenge was to build a relational category scheme with multiple levels (first being the most abstract and all consequent ones more discrete) and then train a custom model to predict categories in the text according to the scheme adequately. Additionally, a small model to highlight category-specific text in the review had to be implemented.

Solution:

First, we built a preprocessing pipeline with grammar correction, tokenization (with menu items treated as a special case), etc. After that, training data describing the complex category scheme was collected and properly labeled. On it, a custom BERT-based model was trained. Using text-distance measures simple text highlighting model was built, in order to immediately highlight predicted categories in the text.

Results:

After deployment, the client successfully integrated the model into their service as a dashboard, so that restaurant chains could easily filter, compare and analyze the performance of individual restaurants. The highlighting model was also used to provide accessible feedback from the review text directly

Technology stack:

Python, NLTK, SpaCy, Transformers, Tensorflow, scheduling, MySQL.

Automated data collection system in Pharma

Automated data collection system in Pharma

  • Automated data collection system in Pharma screenshot 1
$10001 to $50000
20 weeks
Healthcare & Medical

Tasks

  • Audit current IT architecture.
  • Analyze reporting processes across departments.
  • Recommend solutions for analytic function optimization.
  • Gather requirements for reporting and analytics.
  • Define master data systems for each category.
  • Propose new IT architecture for system integration.
  • Outline development plan for the new system.

Challenges

The main challenge was to develop a comprehensive strategy to automate data collection and reporting processes, integrate various data systems, and improve data-driven decision-making capabilities for Servier Ukraine.

Solutions

  • Established unified reporting standards for all data categories.
  • Created a single Master Data system per category.
  • Enabled automated data exchange across systems to reduce manual tasks.
  • Built an automated reporting system for recurring reports.
  • Recommended MS Power BI as the primary reporting tool.

Outcomes

  • Automated data collection and reporting.
  • Enhanced data integration and minimized silos.
  • Strengthened decision-making with predictive analytics.
  • Reduced manual tasks, boosting data efficiency.
  • Improved user experience with a modern interface.
Recommendation system & client churn prediction

Recommendation system & client churn prediction

  • Recommendation system & client churn prediction  screenshot 1
Not Disclosed
4 weeks
Retail

Our client is the largest national retail chain of beauty and health stores, offering more than 30,000 assortment items. It has more than 1000 stores operating throughout Ukraine. The client’s goal was to up-sell and cross-sell goods through a recommendation system and to make the realization of clients’ churn prediction modeling.

During the collaboration with Data Science UA the client achieved x2 improvement of key metric - Baseline model (recommending only the most popular SKUs) had MAP@10 = 0.03. This means that out of 10 suggested SKUs client is likely to buy 3. Our model had MAP@10 = 0.07. This means that out of 10 suggested SKUs client is likely to buy 7.

Architecture that was used – LSTM (neural network).

Executive Interview of Data Science UA

Aleksandra Boguslavskaya
Aleksandra Boguslavskaya
CEO and Founder
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Please introduce your company and give a brief about your role within the organization.
Briefly about me - my name is Aleksandra. I am the CEO & Founder of Data Science UA. In 2016 I decided to hold the first data science conference in Kyiv, and that is where the story of Data Science UA began.

Over the years, we’ve built a Data Science and AI ecosystem around a community of 8000+ ML engineers and Data Scientists, which allows us to provide:
  • The establishment of AI R&D Centers;
  • High-quality tech recruitment (150+ closed senior-level positions);
  • Data Science Consulting for companies in Ukraine and around the world;
  • Mentorship and education programs for clients’ teams.
We’ve organized 9 International Data Science UA conferences with 8000+ attendees and 200+ speakers from top global companies. Each month we conduct events on machine learning, computer vision, and the use of artificial intelligence in various fields of business.

That is why we know almost all data scientists and AI developers on the Ukrainian market in person, so we are always the first to know about their professional achievements.
What is the story behind starting this company?
So, in 2016 I decided to hold the first data science conference in Kyiv and it turned out to be the right decision: we got a lot of attendees and excellent feedback.
There were only a few networking events in this field in Ukraine, and people wanted to know more. Now, together with the team, we hold such conferences twice a year.

Soon after the first conference, I got bombarded with requests for AI-related workshops and recruiting from both developers and various companies. It was clear that the market lacks this kind of specialized agency. So I decided to give it a try.

Pretty much everything we do at Data Science UA is based on market needs. We get different requests all the time. After we get the same request a few dozen times, we try to fulfill it by ourselves. That’s how we started not only the recruiting agency but also the consulting branch.
 
As a new business direction, we provide full support to AI product companies in team assembling and R&D center launching in Ukraine. We can hire a dedicated team for the client’s AI project with specialists tailored to exact needs.
What is your company’s business model–in house team or third party vendors/ outsourcing?
Data Science UA is a reliable technology partner when you need:
  • Consulting with a project-based approach (a team of experts managed by our Project Manager): from building data infrastructure and automatic report systems to advanced machine learning models that help to achieve competitive advantages.
  • Team extension: scale your internal development team over a short period of time with CV/ML engineers and data scientists.
  • Recruiting services: Access AI/ML/NLP/CV talent with skills you don’t have in your local market.
  • Assistance in all stages of AI R&D center establishment from legal and compliance to recruiting and HR management.
How does your company differentiate itself from the competition?
Almost all AI/ML/Data Science projects and companies, which come to Ukraine, pass through us. We advise them on the average salary expectations candidates can have and where it is better to open an R&D center and start building a data science team and team expertise. We advise universities on what subjects to add to the curriculum in data science programs.

Together with the Ministry of Culture, our team has created a short educational series on artificial intelligence. Our Head of Consulting, Veronica Tamayo Flores, teaches at the Kyiv School of Economics and Vodafone Big Data School.

We work with the largest database of CV/ML engineers and data scientists in Ukraine (more than 8000 warm candidates). We know almost all of them in person; that’s why we can provide extremely fast and efficient hiring (2-4 weeks on average), and not only for AI/ML roles - we help to hire all IT professionals and C-level executives.

We offer complete cost transparency to our Clients (they know salaries, bonuses, social benefits of each engineer hired for them), and a flexible business model.
What industries do you generally cater to? Are your customers repetitive? If yes, what ratio of clients has been repetitive to you?
The boom in big data started; everyone accumulated large arrays of data but did not know what to do with them. Now we cooperate with various companies in the banking sector, pharmaceuticals, retail, and others. We analyze and simplify their work, help build practical models and visual reports, and make user behavior predictions.
Please share some of the services that you offer for which clients approach you the most for?
We know almost every AI/ML engineer and data scientist here in Ukraine - so we are the first to know about all their professional updates. This really helps us conduct a fast search of “warm” candidates for a particular position. We are leaders in Data Science and AI recruiting, and we help our clients establish their AI R&D centers in Ukraine - forming a dedicated team of developers tailored to the exact requirements of the client.

We closed 150+ Data Science positions (including senior roles) and are hiring for all major product and service companies in Ukraine.
What is your customer satisfaction rate according to you? What steps do you take to cater to your customer’s needs and requirements?
We have long-term relations with multiple partners and clients for 2+ years, and many recommend us to their network and friends. I think it is the best rate of customer satisfaction. Our primary focus is long-term projects and engagements, that’s where our business model is the most attractive.
What kind of support system do you offer to your clients for catering to their queries and issues?
We work with IT product companies and solve their issues on a daily basis, which enables us to stay proactive and master the expertise for our client's success. We aim to cover all operational aspects of our client's business in Ukraine, from accounting and legal, recruiting and hardware to HR and office management and even employer branding. There is always a tech support person and administrative support specialist who can help clients resolve their queries or issues. This allows our clients to focus only on their business processes and deliverables.
What kind of payment structure do you follow to bill your clients? Is it Pay per Feature, Fixed Cost, Pay per Milestone (could be in phases, months, versions etc.)
We try to be flexible when we’re defining the pricing models with our clients. It can be fixed price, T&M, or managed delivery.
Do you take in projects which meet your basic budget requirement? If yes, what is the minimum requirement? If no, on what minimum budget you have worked for?
Budget isn’t the only factor we consider in our discussions with clients. We negotiate with many start-up initiatives that have the potential to grow into bigger and promising companies. We are flexible in terms of minimum budget, but 10K USD would be our bottom line from our experience.
What is the price range (min and max) of the projects that you catered to in 2020?
It’s not like in web or mobile development, where it is much easier to estimate the budgets. It is much complicated with AI projects, and we start to work on discovery and building a pilot model; after that, we split it into milestones and plan our next steps and budgets together with the client. Some stages can cost 10K USD or less, some stages are more expensive (100K-200K USD and above).
Where do you see your company in the next 10 years?
I see Data Science UA in the Top AI development companies globally and that our Data Science and AI community here in Ukraine will grow 5x or maybe even 10x.

Our ML engineers and data scientists have a strong technical and math background, and we continue to unite top AI talents with our educational events and international conferences.

Ukraine is very attractive in terms of R&D centers opening. We aim to help international companies open their AI R&D in Ukraine with our top data scientists and machine learning engineers.