Data science services

Many companies collect data but struggle to use it effectively, which slows operations and risks losing customers. Innowise builds data pipelines, applies advanced analytics, and turns data into actionable reports and dashboards.

100+

data science projects delivered

40+

data science experts

75%

senior & mid-level specialists

Many companies collect data but struggle to use it effectively, which slows operations and risks losing customers. Innowise builds data pipelines, applies advanced analytics, and turns data into actionable reports and dashboards.

100+

data science projects delivered

40+

data science experts

75%

senior & mid-level specialists

  • Data science consulting
  • Data governance
  • Data engineering & integration
  • Customer analytics solutions
  • Predictive analytics solutions
  • Data visualization services
  • Data science support services

Innowise guides your AI and data initiatives from strategy to execution. We define objectives, prioritize projects, and design data workflows that ensure measurable business impact.

Data science consulting

Based on your strategy, our data scientists set measures to keep your data accurate and secure. Your model outputs never contradict each other, while you stay compliant with GDPR, HIPAA, and other regulations.

Data governance

Innowise-build pipelines help your data reliably and securely circulate across all your strategic systems, including ERP, CRM, IoT, etc. We optimize data ingestion, processing, storage, and usage, and leave space for long-term growth.

Data engineering & integration

Customer analytics solutions

We deliver tools that reveal why customers churn, how long they’ll stay, and what they’ll buy next. Our solutions — from churn prediction models to recommendation engines — help you create personalized, profitable customer experiences.

Customer analytics solutions

Predictive analytics solutions

Innowise builds predictive models that forecast demand, market trends, and risks. Executives gain early warnings, proactive insights, and reliable forecasts that support faster, data-driven decisions.

Predictive analytics solutions

Using visual instruments, we help you see a breakdown of your operations in dynamics. You can explore built-in charts, graphics, and tables to track performance — convenient for both technical and non-technical teams.

Data visualization services

Data science support services

Your ML models stay relevant with our ongoing monitoring, fine-tuning, and maintenance. This means your data science investment keeps delivering long-term value, instead of degrading over time.

Data science support services
Data science consulting

Innowise guides your AI and data initiatives from strategy to execution. We define objectives, prioritize projects, and design data workflows that ensure measurable business impact.

See more
Data science consulting
Data governance

Based on your strategy, our data scientists set measures to keep your data accurate and secure. Your model outputs never contradict each other, while you stay compliant with GDPR, HIPAA, and other regulations.

See more
Data governance
Data engineering & integration

Innowise-build pipelines help your data reliably and securely circulate across all your strategic systems, including ERP, CRM, IoT, etc. We optimize data ingestion, processing, storage, and usage, and leave space for long-term growth.

See more
Data engineering & integration
Customer analytics solutions

We deliver tools that reveal why customers churn, how long they’ll stay, and what they’ll buy next. Our solutions — from churn prediction models to recommendation engines — help you create personalized, profitable customer experiences.

Customer analytics solutions
Predictive analytics solutions

Innowise builds predictive models that forecast demand, market trends, and risks. Executives gain early warnings, proactive insights, and reliable forecasts that support faster, data-driven decisions.

Predictive analytics solutions
Data visualization services

Using visual instruments, we help you see a breakdown of your operations in dynamics. You can explore built-in charts, graphics, and tables to track performance — convenient for both technical and non-technical teams.

See more
Data visualization services
Data science support services

Your ML models stay relevant with our ongoing monitoring, fine-tuning, and maintenance. This means your data science investment keeps delivering long-term value, instead of degrading over time.

Data science support services
Our partnerships and awards
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Make data your strongest asset

We integrate and model your data to reveal trends, predict risks, and guide decisions.

What our customers think

Aaron Cesaro CTO Ampligo S.r.l.
Ampligo S.r.l. logo

“Innowise’s collaborative ethos, technical prowess, and unwavering commitment to our success have left a lasting impression on us. Their ability to seamlessly integrate with our internal teams and adapt to the ever-evolving demands of our projects exemplifies a true partnership.”

  • IndustryArts, entertainment & music
  • Team size2 specialists
  • Duration30 months
  • ServicesSoftware modernization, custom development
Nikolay Orlov CEO KEYtec AG
KEYtec AG logo

“What I found most impressive about Innowise was their ability to adapt to our specific needs while maintaining strict timelines. They combined a customer-centric approach with strong project management skills, ensuring that deliverables were of high quality and on time.”

  • IndustryFinancial services
  • Team size2 specialists
  • Duration8 months
  • ServicesIT managed services
Dr. Felix Berthelmann Managing Director Digital Science
Digital Science logo

“Over the years, Innowise has consistently proven to be a long-term, reliable partner. The consistency and quality of the services provided have significantly contributed to the success of our joint initiatives.”

  • IndustryHealthcare, Pharma, Life Sciences
  • Team size2 specialists
  • Duration44 months
  • ServicesStaff augmentation, Data science

Our process in stages

Shape direction
  • Identifying business challenges and data opportunities
  • Assessing sources, quality, and infrastructure
  • Goals, KPIs, and success metrics definition
Design roadmap
  • Models, algorithms, and tools selection
  • Scalable data pipelines and architecture design
  • Building proof of concept for validation
Build & train
  • Pipeline setup and data source integration
  • Training ML/AI models on prepared datasets
  • Accuracy, speed, and performance optimization
Go live
  • Models release into production
  • Automating workflows for real-time insights
  • Scaling to handle data and user growth
Adapt & improve
  • Performance and accuracy monitoring
  • Retraining models with new data
  • Updates, dashboards, and support delivery

Better data in, better decisions out

Our data science expertise across industries

  • FinTech
  • Banking
  • Healthcare
  • Retail
  • E-commerce
  • Insurance
  • Manufacturing
  • Logistics
  • Marketing
  • Education

We help FinTech companies that manage sensitive data personalize financial journeys and strengthen risk control...

  • Real-time anomalies detection & fraud prevention
  • Tailored financial products through predictive modeling
  • Optimized credit scoring and investment strategies
FinTech

Banks manage massive volumes of financial data but often struggle to turn it into value...

  • Automated compliance & regulatory reporting
  • Data-driven personalization for stronger CX
  • Streamlined loan approvals & credit risk management
Banking

Our data science services help healthcare organizations manage high-volume and sensitive data with accuracy...

  • More accurate diagnostics
  • Precise patient outcomes predictions
  • Optimized resource allocation & clinical workflows
Healthcare

Our data science solutions make every store shelf, product, and promotion smarter...

  • Optimized inventory levels with demand forecast
  • Increased sales via personalized promotions
  • Dynamic pricing under market trends
Retail

Clicks, carts, and purchases all leave a trail. Engage data science experts...

  • Boosted revenue with personalized recommendations
  • Reduced churn through predictive customer insights
  • Optimized supply & fulfillment for smoother delivery
E-commerce

We modernize actuarial models with advanced analytics that cut fraud, refine pricing...

  • Smarter risk models for fairer premiums
  • Faster fraud detection with anomaly analysis
  • Stronger customer loyalty with personalized offers
Insurance

Machines talk — in vibrations, in heat, in output. We translate those signals...

  • Predictive maintenance to prevent breakdowns
  • Optimized production efficiency & reduced waste
  • Improved product quality using data-driven insights
Manufacturing

Data science solutions tackle uncertainty — the main catalyst of supply chain collapses...

  • No shortages or overstock with demand forecasts
  • Optimized logistics & route planning
  • Increased resilience with risk & disruption modeling
Logistics

With clustering, attribution modeling, and predictive analytics, campaigns hit the right audience...

  • Precise segmentation, better targeting
  • Optimized campaigns using real-time data
  • Customer lifetime value & churn risk prediction
Marketing

Innowise implements adaptive learning models that adjust lessons to each student’s pace...

  • Personalized learning through adaptive analytics
  • Early identification of at-risk students
  • Optimized resource planning & curriculum development
Education
Head of Big Data and AI
Head of Big Data and AI

Stay ahead with partners who see the road

With Innowise at your side, your data becomes your ace in the hole, driving smarter moves.

Data science methods we use

Statistical foundations
  • Data summaries — Structured insights are gained by calculating averages, distributions, and correlations from the raw inputs.
  • Time-series forecasting (ARMA & ARIMA) — Sales, demand, or stock prices and other sequential data are analyzed over a time period to reveal patterns, such as seasonality, and trends.
  • Probabilistic modeling — Predictions include uncertainty and risk estimation, and are refined continuously, as new data arrive.
Classical machine learning
  • Linear & tree-based models — Interpretable methods applied to highlight factors that influence outcomes.
  • Instance-based & kernel methods — Detecting innate patterns enables segmentation, classification, and anomaly detection.
  • Clustering & dimensionality reduction — Comparable data items are grouped to reveal new structures and trends.
  • Ensemble methods — Models are aggregated for stronger predictions with more stable and less prone to overfitting results.
Neural & deep learning
  • Image and sequence models (CNNs, RNNs, LSTM, GRU) — Image, text, and time-series pattern recognition.
  • Representation learning — The optimal data representation is defined automatically via noise reduction, feature extraction, and data compression.
  • Generative modeling – Creating images, text, and audio by training the models to copy realistic data.
  • Deep Q-network (DQN) — Advanced decision-making enabled through trial-and-error training.
  • Transformer architectures — Language understanding, translation, and vast-scale AI through self-attention.
  • Uncertainty-aware AI — Strong predictions are given with estimates of confidence.

Our core tech stack

Programming languages
Deep learning & ML frameworks
Libraries
Cloud & big data platforms
Visualization & reporting
Programming languages
Python
Python
R
R
Scala
Scala
Java
Java
C++
C++
Deep learning & ML frameworks
TensorFlow
TensorFlow
Keras
Keras
PyTorch
PyTorch
Apache MXNet
Apache MXNet
Caffe
Caffe
Theano
Theano
Libraries
Apache Spark MLlib
Apache Spark MLlib
Apache Mahout
Apache Mahout
Scikit-Learn
Scikit-Learn
XGBoost
XGBoost
CatBoost
CatBoost
SHAP
SHAP
Pandas
Pandas
NumPy
NumPy
Gensim
Gensim
SpaCy
SpaCy
OpenCV
OpenCV
Cloud & big data platforms
Databricks
Databricks
Amazon SageMaker
Amazon SageMaker
Azure ML
Azure ML
GCP Vertex AI
GCP Vertex AI
Visualization & reporting
Matplotlib
Matplotlib
Seaborn
Seaborn
Plotly
Plotly
Programming languages
Python
Python
R
R
Scala
Scala
Java
Java
C++
C++
Python
Python
R
R
Scala
Scala
Java
Java
C++
C++
TensorFlow
TensorFlow
Keras
Keras
PyTorch
PyTorch
Apache MXNet
Apache MXNet
Caffe
Caffe
Theano
Theano
Databricks
Databricks
Amazon SageMaker
Amazon SageMaker
Azure ML
Azure ML
GCP Vertex AI
GCP Vertex AI
Matplotlib
Matplotlib
Seaborn
Seaborn
Plotly
Plotly

FAQ

We focus exclusively on custom solutions. Every company differs in data maturity level, infrastructure, and goals. Forcing them into the same mold doesn’t work. If speed matters, we can bring reusable components, but we always adapt them to your environment.

Our team helps manage data end-to-end, from strategy to engineering and maintenance. We first learn about you through asking the right questions and charting a roadmap. Then we assist in data management, model building, and deployment. Until the solution thrives in your world and proves its worth, we walk with you and assist on demand.

We offer both — and sometimes a mix. If you want us to own the entire project from discovery to deployment, we can. If you already have a team and just need extra horsepower or specific expertise, we’ll plug in seamlessly. Some clients start with staff augmentation and expand into full project delivery once trust is built.

Yes, we do it regularly. It happens all the time after a project stalls or goes sideways. When our team steps in, we first validate strategy and a technical roadmap, then say it straight: refine it, rebuild it, or scale it. The point isn’t tossing your work, but to reboot it in the right direction.

It can take only 3–5 days to staff your project. You’ll get vetted candidate CVs within 1–2 days and can set up interviews right after. Once you make the call, we handle the entire onboarding routine so your team can start adding value right away.

Feel free to book a call and get all the answers you need.

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    What happens next?

    1

    Once we’ve received and processed your request, we’ll get back to you to detail your project needs and sign an NDA to ensure confidentiality.

    2

    After examining your wants, needs, and expectations, our team will devise a project proposal with the scope of work, team size, time, and cost estimates.

    3

    We’ll arrange a meeting with you to discuss the offer and nail down the details.

    4

    Finally, we’ll sign a contract and start working on your project right away.

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