Outsource Data Science Services

Data science outsourcing is an efficient solution that gives you access to the best professionals without the need to look for them in the market and carry organizational burden.

Why does your business need data science outsourcing?

Your business sees the way to profit from data but creating a separate data team seems expensive and not cost-effective? You should miss an opportunity to make data serve your needs and extract valuable insights from it (as your competitors sure do not). Data science outsourcing is an efficient solution that gives you access to the best professionals without the need to look for them in the market and carry organizational burden. At Data Science UA, we gladly help you with that. 

Here are 5 main reasons why data science outsourcing is important:

  • Get your “reinforcements” in no time. You can boost your team’s expertise and productivity very quickly. New data scientists start their work within 2 weeks after the offer;
  • Access to the top talents. The search for professionals with the right skills and expertise can be time-consuming and expensive. To benefit from the best expertise in the field you might want to outsource data science services;
  • Extra capacity and scalability. Even if you already have data scientists, analysts, and software developers on the staff, you may still require extra resources to build something new. Besides, at some point, the company needs to scale its operations. To do it quickly you could outsource the data science part of the project;
  • Cost-effectiveness. The recruitment process takes plenty of resources. Outsourcing data science or some other services saves your time and money;
  • Keeping your focus. Outsourcing data science to some other company, you allow your in-house staff to focus on the mission-critical operations of your business. Even more than that, an external team may provide an entirely new perspective for your business processes. The outsourced team will take a new look at your tools and processes, which could drive your business to the next level.

Why should you choose Data Science UA for data science outsourcing?

In today’s data-driven world, businesses are increasingly recognizing the power of data science in gaining valuable insights, making informed decisions, and driving growth. However, not all organizations have the necessary expertise or resources in-house to harness the full potential of data science. That’s where Data Science UA comes in. As a leading data science and AI development company, we offer exclusive Data Science Services to help businesses unlock the value of their data through strategic outsourcing.

Data Science Outsourcing: Leveraging External Expertise for Success

Data Science UA understands that every business has unique requirements and challenges when it comes to data analysis, predictive modeling, and deriving actionable insights. By leveraging our data science outsourcing services, you can tap into the expertise of our highly skilled data scientists, engineers, and analysts who are dedicated to delivering tailored solutions for your specific needs.

Comprehensive Data Science Solutions

  1. Data Analysis and Visualization: Our team of experts possesses advanced analytical skills and employs cutting-edge tools to perform in-depth data analysis, uncover hidden patterns, and visualize complex data sets. Through our data visualization techniques, we transform raw data into visually appealing and interactive dashboards, enabling you to gain a comprehensive understanding of your business metrics.
  2. Predictive Modeling and Machine Learning: With our expertise in predictive modeling and machine learning algorithms, we help businesses build accurate and reliable models that can forecast trends, identify patterns, and make data-driven predictions. By harnessing the power of machine learning, we enable you to optimize processes, enhance customer experiences, and drive revenue growth.
  3. Big Data Analytics: Dealing with large volumes of data can be overwhelming for many organizations. Our data science services include the ability to handle big data effectively. We employ advanced techniques such as distributed computing and parallel processing to extract valuable insights from massive datasets. By harnessing the power of big data analytics, we empower you to make informed decisions based on comprehensive and accurate information.
  4. Data Science Consulting: Data Science UA goes beyond providing technical solutions. We also offer data science consulting services to help organizations develop a data-driven culture, implement best practices, and maximize the value derived from data. Our experienced consultants work closely with you to understand your business objectives, identify data and analytics challenges, and develop a roadmap for success.

 We offer a team of highly skilled data scientists, engineers, and analysts with expertise in various domains and industries. Our professionals stay up to date with the latest data science trends and technologies, ensuring that you receive cutting-edge solutions tailored to your specific requirements.

In Data Science UA, we understand that each business has unique needs and challenges. Our data science services are highly customizable to address your specific objectives and deliver tangible results. We work closely with you to understand your business goals, data sources, and existing infrastructure to design a personalized solution.

Outsourcing your data science needs to Data Science UA can be a cost-effective solution compared to building an in-house data science team from scratch. You can avoid the expenses associated with hiring, training, and maintaining a dedicated team, while still benefiting from the expertise and capabilities of our professionals.

What tasks can we help different industries to solve with the help of data science outsourcing?

As outsourcing data science company, we have a lot of experience, working with clients from various industries. Here are some examples of data science-related tasks you can outsource:

  • Retail:
    • customer analysis, 
    • assortment analysis, 
    • sales forecasts, 
    • marketing budgets optimization; 
  • FMCG: optimizing all the processes from the moment raw materials enter production lines till the product hits the market and a customers put it in their shopping bags;
  • Banks and fintech companies:
  • credit scoring, 
  • product selection systems for both new and prospective clients;
    • Services: any tasks related to clients, staff, or management;
    • Internet-companies (e-commerce):  
      • forecast sales, 
      • recommend products, 
      • analyze assortment and so on;
    • Pharmaceutics (distribution): 
      • creating analytics and report systems, 
      • KPI forecasting;
  • Technology startups:
    • main data mining and data analysis tasks, 
    • analyzing if the use of AI in the core product is worth it;
  • Logistics:
    • warehouse optimization,
    • route optimization (“traveling salesman”-problem), 
    • developing optimal loading systems and utilization systems for vehicles;
  • Manufacturing: 
    • optimizing production lines and logistic chains, 
    • forecasting revenue, 
    • determining optimal employee workloads,
    • organizing predictive maintenance,
    • setting up automated systems for monitoring compliance with safety regulations.

Technologies we leverage

We’ve helped our clients data science outsource for a lot of different data science projects and are ready to take on new challenges. Here are some areas, in which we’ve honed our skills to the full. Note: If you happen to specialize in some of these spheres — contact us, we will be glad to find new partners!

  • Computer Vision is aimed to understand and automate tasks that the humans can do in analyzing digital images or videos. In particular, we have experience in:

– Object detection 

– Image classification

– Semantic segmentation

– GANs (Generative adversarial networks)

  • Speech recognition deals with recognition and translation of spoken language into text. We can help you with the projects, which involve such operations as:

– speech to text

– speech to speech

– speaker recognition

  • Audio processing has become an indispensable feature under the hood of many modern music and audio services. It includes such tasks as:

– Audio Classification

– Automatic Music Tagging

– Audio Segmentation 

– Audio Source Separation 

– Music Recommendation

– Music Retrieval

  • NLP (Natural Language Processing) is concerned with how computers can process and analyze large amounts of natural language data.

What are the key steps of the process?

  • The initial call: the first call, dedicated to finding out client’s needs and deadlines for fulfilling those needs, delivering the first results;
  • Looking for candidates. The lead of our recruitment team sends you the CVs of professionals with relevant experience. Rest assured — we will find the candidates matching your requirements very fast;
  • The second call: the discussion of salaries, total costs, and detailed sample calculations;
  • Following the personalized cooperation map: we execute the plan, which takes into account each client’s needs and timelines

How to get started?

You may choose the option, which suits you most:

  • Fill in the form and we will contact you;
  • Follow the link to the calendar and book the 15-minute time-slot for the initial call;
  • Email directly to our CEO/Founder

Advantages of Outsource Data Science Services

  • Get your “reinforcements” in no time.

    You can outsource data science projects to boost your team’s expertise and productivity very quickly. New data scientists start their work within 2 weeks after the offer;

  • Access to the top talents.

    The search for professionals with the right skills and expertise can be time-consuming and expensive. To benefit from the best expertise in the field you might want to outsource data science services;

  • Cost-effectiveness.

    The recruitment process takes plenty of resources. Outsourcing data science or some other services saves your time and money;

  • Extra capacity and scalability.

    Even if you already have data scientists, analysts, and software developers on the staff, you may still require extra resources to build something new. Besides, at some point, the company needs to scale its operations. To do it quickly you could outsource the data science part of the project;

  • Keeping your focus.

    Outsourcing data science to some other company, allows your in-house staff to focus on the mission-critical operations of your business. Even more than that, an external team may provide an entirely new perspective for your business processes. The outsourced team will take a new look at your tools and processes, which could drive your business to the next level.

Data science employs computer science disciplines like mathematics and statistics and incorporates the following techniques:

  • Data mining
  • Cluster analysis
  • Visualization
  • Machine learning

Industries We Serve

1. Marketing

Marketing teams tend to have lots of data about advertising, web analytics, customer behavior, etc. We can fine-tune all data analysis solutions to run like clockwork and  free up more of your marketing team’s time to be strategic and effective. Our data science services company uses machine learning to:
– forecast sales;
– recommend products;
– analyze assortment and so on.

2. Retail (E-commerce)

Retail usually accumulates large amounts of data and is eager to use data analytics.
We can help with:
– customer analysis;
– assortment analysis;
– sales forecasts;
– marketing and advertising budgets optimization;
– increase the efficiency of merchandising and supply chain management.

3. Manufacturing

Generation of optimized plans that enable predictive maintenance is one of the key goals for AI in manufacturing, as well it helps in:
– optimizing production lines and logistic chains;
– forecasting revenue;
– determining optimal employee workloads;
– setting up automated systems for monitoring compliance with safety regulations.

4. IoT

When artificial intelligence is working with IoT devices it means that data can be analyzed and decisions can be made without involvement by people. In a broad variety of industries where IoT is implemented, AI can help to identify patterns and detect anomalies in the data that smart devices and sensors transfer (for example, air quality, humidity, temperature, pressure, vibration, sound, and others).

5. FinTech

FinTech companies usually work with sensitive information and have high-security standards. We take all necessary precautions to keep their data safe. Data Science UA can assist such businesses in:
– credit scoring;
– recommendation systems for both new and prospective clients.

6. Logistics & Warehouses

The transportation and warehouse industry is data-driven and needs analysis of historical and real-time data performed by intelligent algorithms. So our team can help with:

  • traffic management improvements
  • warehouse optimization,
  • route optimization (“travelling salesman” problem),
  •  developing optimal loading systems and utilization systems for vehicles;

7. Insuarance

AI can help insurance companies deliver high-quality service as it has done for major leaders in other industries such as Healthcare, Fintech, etc.

Our data science agency can help to:

  • create a more personalized service;
  • predict the repair costs from historical data;
  • provide a selection of better investments based on risks, preferences, and spending patterns;
  • improve claims analysis.

8. Agriculture

Farmers aim to maximize production and profits using innovative software and data collection and analysis.  We can make the analysis of historical and real-time images & data collected from databases, satellites, drones, IoT sensors that can help to:

  • increase the yield of farmlands;
  • ensure serviceability of farm equipment;
  • monitor fields conditions, irrigation, soil moisture, etc;
  • predict weather conditions.

9. Cybersecurity

Nowadays AI helps to deploy effective cybersecurity technology and allows businesses to solve major cybersecurity challenges: cyberattack, financial loss, or brand reputation damage. We can help cybersecurity teams to:

  • analyze patterns in user behaviors and respond to changing behavior;
  • identify cyber vulnerabilities and irregularities in the network.

10. Healthcare

AI is already transforming the healthcare industry—helping patients and hospitals optimize costs and increase care delivery through actionable insights. We can help to:

  • manage and analyze data to provide;
  • improve preventive care;
  • create personalized treatments;
  • make optimization of scheduling and bed management;
  • detect and analyze patient patterns and correlations for better decision making.

What clients and partners say about us

Technologies we leverage

Languages: Python, R, Scala, SQL, C++, etc.
Visualization: Power BI, Tableau, Qlik, Matplotlib, seaborn, ggplot2, plotly, Bokeh
DBMS: Relational (MS SQL, PostgreSQL, MySQL), Non-relational (MongoDB, CouchDB, Cassandra etc.), Distributed (Hadoop etc.)
DL Frameworks: PyTorch, Tensorflow, Keras
Architectures: On-premise, cloud, hybrid
Algorithms: Supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction, anomaly detection, pattern search), ensembles, reinforcement learning
Fields: Natural Language Processing, Computer Vision, Recommendation systems, Tabular data analysis, Signal Processing
Neural Networks: CNN, RNN, DNN, LSTM, GAN, Autoencoders
Cloud Platforms: Amazon Web Services, Google Cloud Platform, Microsoft Azure

Our Cases

AI R&D center for US product company

Together with American colleagues, our team creates a solution based on Computer Vision / Machine Learning.

Objectives:
– Reduce injury risks and prevent accidents in steel production with AI.
– Assemble a team of 10 talented engineers in a month amid quarantine.

Beauty and health stores chain (Ukraine)

The largest national retail chain of beauty and health stores, offering more than 30,000 assortment items.

Objectives:
– Up-sell and cross-sell enabling through a recommendation system.
– Clients churn prediction

Solar panels installer (Netherlands)

Rooftop solar panels installation for residential houses.

Objectives:
– Label roof coordinates and types based on satellite images (R&D project).

Odin money (US)

Odin is a global mobile banking app that offers keeping all your bank accounts in one place. Bills and financial milestones track through one integrated experience.

Objectives:
– Create and use ML model for the classification of all transactions.

Why Choosing Data Science UA?

  • Our monthly service fee is relatively low and in the long run, it is very cost-effective cooperation;
  • We strive to make our cooperation transparent. After the initial call we send you our business proposal with all details about the salaries, costs, detailed sample calculations, and other outsource data science services;
  • You can choose to work with us in team-extension-mode or on a project basis. The engineers we hire will be 100%-focused on the tasks you provide.

Outsource Data Science Services We Provide

Data Science Analysis

Data analysis services are about cleaning, transforming, and modeling data to discover meaningful insights for business decision-making.

Learn More

Data Science Development

We provide the full cycle of data science development services: from consulting to software development and creating technical documentation.

Learn More

Data Science Consulting: FAQ for Data Science UA

What exactly is data science outsourcing?

Data science outsourcing refers to the practice of partnering with external experts, such as Data Science UA, to handle various aspects of data science projects and initiatives. It involves entrusting specialized tasks like data analysis, predictive modeling, machine learning, and business intelligence to a dedicated team of data scientists, engineers, and analysts from an outsourcing company.

Why outsourcing data management is so popular?

Outsourcing data management has gained popularity due to several reasons. Data Science Outsource provides access to a pool of skilled professionals who have expertise in managing and analyzing data effectively and helps reduce costs associated with hiring and maintaining an in-house data management team.

Data Science outsourcing: why is it important in business?

Data science outsourcing plays a crucial role in business for several reasons. It allows businesses to access specialized expertise and resources that may not be available internally, enabling them to leverage advanced data analysis techniques, predictive modeling, and machine learning to drive informed decision-making.

Grow Your Business In a Smarter Way, Let’s talk!