Advanced Data Science Services

Turn complex data into a strategic asset with Cleveroad’s data science solutions that collect, analyze, and interpret data to uncover hidden patterns, predict trends, and make smarter decisions

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Cleveroad’s Reliable Data Science Services

Empower your business with data science solutions that turn information into action to uncover insights, automate decisions, and drive measurable growth

Data engineering

We build reliable data pipelines and architectures that collect, clean, and prepare information from multiple sources, ensuring accuracy and consistency for advanced analytics

Data science consulting

Get expert guidance from our data scientists and domain analysts to define use cases, choose the right tech stack, and build a clear roadmap for turning your data into measurable value

Custom data science solutions

We design and develop industry-specific data science systems that enable smarter decisions, automate workflows, and unlock the full potential of your business data

Data solution implementation

Our team delivers end-to-end implementation of data pipelines, ML models, and production-ready systems that improve efficiency, safety, and customer experience

Benefits of Implementing Data Science Service and Solutions

Discover how data science services and solutions empower businesses to make informed decisions and drive measurable growth through data-driven insights

Data-driven decision making

Turn raw data into actionable insights that guide strategy and reduce guesswork

Personalized experiences

Leverage data models to tailor products and recommendations to individual users

Process automation

Use machine learning and analytics to streamline repetitive tasks and boost operational efficiency

Risk prevention

Identify anomalies and potential issues early through predictive analytics and real-time monitoring

Boosted accuracy

Predict demand, customer behavior, and market trends to plan ahead with confidence

Competitive advantage

Unlock new business opportunities and optimize performance through intelligent innovation
Book a tailored consultation on how data science technology can enhance your business based on your needs and industry specifics
Streamline your business with data science

Promised Data Science Use Cases Across Different Industries

Discover how data science empowers innovation, enhances efficiency, and drives measurable outcomes across key business sectors

Healthcare

  • Predictive diagnostics
  • Patient outcome analytics
  • Medical image recognition
  • Operational optimization

Logistics

  • Demand forecasting
  • Route optimization
  • Predictive maintenance
  • Warehouse automation

FinTech

  • Fraud detection
  • Financial reporting
  • Compliance analytics
  • Customer segmentation

Marketplaces

  • Pricing optimization
  • Product recommendations
  • Fraud detection 

Media

  • Performance analytics
  • Engagement prediction
  • Content categorization

Retail

  • Demand forecasting
  • Customer behavior analytics
  • Inventory optimization

Social networks

  • User behavior analysis
  • Content moderation
  • Ad targeting optimization

Travel

  • Dynamic pricing
  • Route optimization
  • Customer analytics

Education

  • Learning analytics
  • Performance prediction
  • Recommendation systems

Our Data Science-Based Case Studies

We handle each project with care and precision to validate value fast, unlock insights, and scale outcomes with production-ready data science
Building a Logistics Platform with WMS/CRM Integrations
Under NDA

USA

Logistics

Building a Logistics Platform with WMS/CRM Integrations

Challenges solved:

  • Integrating the transportation system with the existing WMS and CRM to enable seamless data flow and real-time job tracking
  • Developing a flexible route planning module with manual adjustment and driver navigation features
  • Implementing a predictive analytics model to forecast delivery delays and optimize route performance
Launching a SAMA-compliant app for micro-investing
Under NDA

Saudi Arabia

Fintech

Launching a SAMA-compliant app for micro-investing

Challenges solved:

  • Designing a secure authentication system that meets regional fintech and data protection regulations
  • Developing a scalable architecture to support fast transactions and future business growth
  • Integrating ML to analyze user activity and personalize investment recommendations

Learn about Cleveroad’s expertise in Projects Portfolio.

in Projects Portfolio.

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Our Clients Say About Us

Client photo...
DK flagDenmark
FinTech

CTPO of Penneo A/S

"Cleveroad proved to be a reliable partner in helping augment our internal team with skilled technical specialists in cloud infrastructure."

Certifications

We keep deepening our expertise to meet your highest expectations and build business innovative products
ISO 27001

ISO 27001

Information Security Management System

ISO 9001

ISO 9001

Quality Management Systems

AWS

AWS

Select Tier Partner

AWS

AWS

Solution Architect, Associate

Scrum Alliance

Scrum Alliance

Advanced Certified, Scrum Product Owner

AWS

AWS

SysOps Administrator, Associate

Our Data Science Service Delivery Process

We follow a structured, insight-driven approach to help you extract measurable value from data science to deploy scalable, production-ready solutions
  • Goal definition
  • Data exploration
  • Data preparation
  • Model development
  • Solution deployment

Goal definition

We begin by clarifying your business objectives, available data sources, and success metrics. This stage ensures that every data science initiative is tied to tangible business outcomes.

Key outcomes:

Problem statement

Data availability audit

Success metrics roadmap

Data exploration

Our data scientists perform exploratory analysis to understand data quality and structure. We uncover key patterns and assess whether the data is ready for deeper modeling.

Key outcomes:

Exploratory data analysis

Outlier data detection

Correlation insights

Data preparation

We clean, preprocess, and structure data to make it suitable for machine learning. This includes addressing missing values, feature engineering, and splitting datasets for accurate model validation.

Key outcomes:

Data cleansing pipeline

Feature building report

Dataset split for training/testing

Model development

Our experts design and train ML models using algorithms best suited to your data and objectives. We run multiple experiments, fine-tuning hyperparameters to achieve optimal accuracy.

Key outcomes:

Trained AI/ML models

Performance metrics

Model validation results

Solution deployment

We integrate the trained model into your production environment through APIs or your existing systems. Our AI engineers ensure seamless operation and real-time processing

Key outcomes:

ML model integration

Production API setup

Performance monitoring plan

Techniques We Use for Data Science Products

Cleveroad applies a diverse range of analytical methods and AI techniques to transform raw data into actionable business insights and optimize workflows

Descriptive analytics

We analyze historical data to reveal trends and patterns that explain past performance. This involves extracting insights, evaluating anomalies, and applying statistical analysis to strengthen business intelligence and decision-making.

Predictive analytics

Our data scientists use predictive modeling to forecast outcomes such as market demand or customer behavior. We validate and fine-tune models to deliver reliable, data-driven projections that help optimize investments and reduce risks.

Prescriptive analytics

We help you make informed decisions based on scenarios derived from predictive models. This approach provides actionable recommendations and is critical in sectors where accuracy and compliance are vital.

Machine learning algorithms

We apply supervised, unsupervised, and reinforcement learning methods to solve diverse business tasks, including classification, clustering, recommendation, and decision-support systems.

Neural networks

Our team leverages deep learning architectures, including CNNs, RNNs, and autoencoders, for image recognition, natural language processing, and sequential data analysis, thereby enhancing precision and model adaptability.

Process automation

We combine advanced analytics and ML algorithms to automate complex workflows. This improves efficiency, ensures consistent decision-making, and enables intelligent process optimization across operations.
Build a data science solution
Contact us, our AI engineers are ready to help you turn your data into actionable insights and measurable business value

Tools and Technologies We Use

We leverage a robust technology stack to design and deploy data science solutions that deliver scalability and real business impact
Cloud platforms
AWS
Azure
GCP
Frameworks
Apache Spark
TensorFlow
PyTorch
Ray
Dask
Libraries
Scikit‑learn
Keras
spaCy
XGBoost
LightGBM
Data platforms
Amazon Redshift
AWS glue
Azure Synapse
BigQuery
Databricks
ML platforms
Amazon SageMaker
Azure ML Studio
Vertex AI
Languages
Python
R
Scala

Why Choose Us as Your Data Science Service Provider

As an experienced data science services company, we deliver reliable and scalable solutions that turn raw data into measurable business outcomes
member

Oleksandr Riabushko

Engagement Director

  • Proven expertise in data science and AI

    Our data scientists and engineers master advanced analytics, machine learning, and artificial intelligence tools from AWS, Azure, and Google Cloud. We build accurate, high-performing models that solve complex business problems and enable smarter decision-making.

  • Tailored data science solutions for every domain

    We design and implement customized data-driven systems for Healthcare, Logistics, FinTech, and other sectors. Each solution is adapted to your business processes, ensuring maximum performance, compliance, and return on investment.

  • Accelerated delivery and seamless integration

    Our agile delivery model allows for fast implementation and risk-free deployment. We integrate data science solutions into your existing infrastructure while minimizing downtime and ensuring smooth system interoperability.

  • End-to-end data science services

    We cover the entire data science lifecycle, including consulting and data engineering, model development, deployment, and support. You get production-ready, insight-driven systems that evolve with your business needs.

Industry Contribution Awards

Leading rating & review platforms rank Cleveroad among top software development companies due to our tech assistance in clients' digital transformation.

70 Reviews on Clutch

4.9

Award

Award

Clutch 1000 Service Providers, 2024 Global

Award

Award

Clutch Spring Award, 2025 Global

Ranking

Ranking

Top AI Company,
2025 Award

Ranking

Ranking

Top Software Developers, 2025 Award

Ranking

Ranking

Top Web Developers, 2025 Award

Ranking

Ranking

Top Staff Augmentation Company US, 2025 Award

Our Services Related to Data Science

See how our data science services can help you transform raw data into intelligent insights tailored to your business goals

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Advanced AI Development Services

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Generative AI Development Services

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Robust AWS Development Services

Questions You May Have
Get clear answers to frequently asked questions about data science services
What are data science services and solutions?
Data science services include the end-to-end process of collecting, processing, and analyzing data to extract actionable insights. These solutions use statistics, a machine learning model, and AI to help companies optimize operations, predict outcomes, and make data-driven decisions that improve performance and profitability.
How do data science consulting services help businesses?
Data science consulting services help organizations define their data strategy, assess readiness, and identify the most valuable use cases. Consultants design architectures, select tools, and develop models that align with business goals, ensuring data becomes a measurable driver of growth, innovation, and operational efficiency.
What is data science as a service (DSaaS)?
Data Science as a Service (DSaaS) is a cloud-based model where companies access data visualization, machine learning, and AI capabilities without building in-house infrastructure or teams.
How do I choose a data science services company or provider?
Select a provider with proven expertise in your industry, certified data engineers and AI specialists, and a strong portfolio of real-world implementations. Look for a partner that offers:
  • Proven expertise in your industry
  • Certified data engineers and AI specialists
  • A portfolio of real-world implementations
  • End-to-end capabilities: consulting, data engineering, deployment, and support
  • Transparent communication and scalable delivery

Latest Insights on Data Science

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Machine Learning in Logistics: Key Use Cases to Boost Supply Chain

Oct 09, 2025

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AI in FinTech in 2025: Benefits and Use Cases

May 09, 2025

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AI and Automation in Healthcare: Business Opportunities for 2025

Apr 22, 2025

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