Data science as a service (DSaaS)

Drowning in data, short on direction? Innowise brings data science know-how to cut reporting by 60%, slash costs by 40%, and spot ROI-boosting wins. We turn messy data into clear dashboards that move your business forward.

40+

successfully completed DSaaS projects

40+

data engineers

years in big data

85%

mid & senior-level specialists

40+

successfully completed DSaaS projects

40+

data engineers

years in big data

85%

mid & senior-level specialists

Signs your business needs data science services

Customer behavior is a black box You’ve got data streaming in, but churn, conversions, and loyalty still feel like guesswork. Data science experts reveal the drivers behind behavior so you can lift retention, improve targeting, and reduce churn costs.

Processes are slow and resource-heavy Your teams are stuck in repetitive tasks, manual number-crunching, or outdated systems. It’s draining time and hurts margins. With data science solutions, experts pinpoint what to automate, what to streamline, and where your operations are leaking efficiency.

Data exists, but insights don’t You’ve invested in BI tools and dashboards, but still don’t have clear answers. Reports pile up, but action doesn’t follow. Our data scientists dig deeper than dashboards, surfacing patterns that tools miss and delivering clear actions tied to ROI.

Growth is outpacing your systems As the business scales, data gets messier, teams lose visibility, and decision-making slows down. You know there’s value in the numbers, but it’s buried. Data science professionals clean, organize, and align your data so it scales with you.

Decisions rely on gut, not facts Your leadership team lacks reliable, real-time insights. That means key decisions are delayed or, worse, based on gut feeling. It’s risky, and it’s costing you. Data science solutions bring the right data to the table, on time, in context, and ready to support action.

Costs keep rising without explanation Unexpected maintenance bills, inventory waste, or hidden inefficiencies are quietly eroding profits. You know the answers are in your data, but you lack the tools to find them. Data science uncovers the cost drivers, reveals waste, and helps protect margins.

Our data science success stories

Our data science as a service offerings

From data engineering to predictive AI and LLM integration, our DSaaS solutions cover the full data science lifecycle. Every service is designed to scale with your business, delivering faster insights, reduced costs, and tangible revenue growth.

Data cleaning & integration

Feature engineering

Data infrastructure pipelines

Analytics & BI platforms

Predictive model development

Model assessment & validation

Visualization & reporting

Recommendation engines

Advanced AI & LLM integration

Computer vision applications

Fraud & risk monitoring

AutoML & scalable AI

Data cleaning & integration

Eliminate silos by consolidating all your sources into one clean data flow. Companies that invest in unified data typically reduce decision-making delays by 30-40%.

Feature engineering

We design the right inputs for your models, capturing hidden patterns that improve predictive accuracy. Smart features boost performance by up to 50% vs default setups.

Data infrastructure pipelines

Automated ETL, data lakes, and warehouses that scale with demand. Businesses adopting modern pipelines see 2–3x faster reporting and 25–35% lower infrastructure costs.

Analytics & BI platforms

Real-time dashboards put insights in front of decision-makers instantly. On average, this cuts reporting time by 60% and increases adoption across teams by 40%.

Predictive model development

From forecasting demand to reducing downtime, predictive ML cuts costs and prevents disruption. Clients see 15–25% lower ops costs and 20–30% more accurate forecasts.

Model assessment & validation

Stress-tested models maintain stability and avoid costly failures. This reduces model drift incidents by up to 70%, ensuring reliable long-term ROI.

Visualization & reporting

Interactive dashboards cut complexity and boost team alignment. Clear visuals accelerate decision-making, with executives reporting 30% faster response to market changes.

Recommendation engines

Personalized recommendations lift engagement and sales. Businesses usually achieve 10-30% higher conversion rates and 20-40% revenue growth in targeted channels.

Advanced AI & LLM integration

We embed LLMs for automation and natural-language queries. Clients see 25-40% faster workflows, 30% lower service costs, and a sharp rise in employee productivity.

Computer vision applications

AI-powered defect detection reduces production errors by up to 90% and enhances accuracy in medical scans by 20–40% compared to manual review alone.

Fraud & risk monitoring

Our anomaly-detection models catch threats in real time, reducing fraud losses by 30-50% and minimizing compliance risk.

AutoML & scalable AI

With AutoML, businesses accelerate model deployment by 60-80%, reduce development costs, and still maintain enterprise-level accuracy.

Data cleaning & integration

Eliminate silos by consolidating all your sources into one clean data flow. Companies that invest in unified data typically reduce decision-making delays by 30-40%.

Feature engineering

We design the right inputs for your models, capturing hidden patterns that improve predictive accuracy. Smart features boost performance by up to 50% vs default setups.

Data infrastructure pipelines

Automated ETL, data lakes, and warehouses that scale with demand. Businesses adopting modern pipelines see 2–3x faster reporting and 25–35% lower infrastructure costs.

Analytics & BI platforms

Real-time dashboards put insights in front of decision-makers instantly. On average, this cuts reporting time by 60% and increases adoption across teams by 40%.

Predictive model development

From forecasting demand to reducing downtime, predictive ML cuts costs and prevents disruption. Clients see 15–25% lower ops costs and 20–30% more accurate forecasts.

Model assessment & validation

Stress-tested models maintain stability and avoid costly failures. This reduces model drift incidents by up to 70%, ensuring reliable long-term ROI.

Visualization & reporting

Interactive dashboards cut complexity and boost team alignment. Clear visuals accelerate decision-making, with executives reporting 30% faster response to market changes.

Recommendation engines

Personalized recommendations lift engagement and sales. Businesses usually achieve 10-30% higher conversion rates and 20-40% revenue growth in targeted channels.

Advanced AI & LLM integration

We embed LLMs for automation and natural-language queries. Clients see 25-40% faster workflows, 30% lower service costs, and a sharp rise in employee productivity.

Computer vision applications

AI-powered defect detection reduces production errors by up to 90% and enhances accuracy in medical scans by 20–40% compared to manual review alone.

Fraud & risk monitoring

Our anomaly-detection models catch threats in real time, reducing fraud losses by 30-50% and minimizing compliance risk.

AutoML & scalable AI

With AutoML, businesses accelerate model deployment by 60-80%, reduce development costs, and still maintain enterprise-level accuracy.

Seeing problems too late to fix them fast?

Our data science experts catch the drop before it costs you.

Data science solutions we provide

Predictive analytics

Anomaly and risk detection

Operational intelligence

Customer insights & segments

Churn & retention modeling

Revenue & pricing optimization

Workforce & resource planning

Supply chain forecasting

Smart search & discovery

Fulfillment optimization

Cause & effect analysis

Energy & efficiency tuning

Philip Tikhanovich

Head of Big Data and AI

Having more data doesn’t help if you can’t make sense of it. What businesses really need is clarity. Our job is to find the signal in the noise and turn it into decisions that move the business forward. That’s where data science as a service makes the difference: you get experienced minds, proven methods, and production-ready results, without the delays and risk of building it all in-house.

Philip Tikhanovich

Head of Big Data and AI

Choose Innowise as your data science service provider

Good data science belongs in the real world, not buried in Jupyter notebooks. At Innowise, we make it clear, functional, and built to deliver. From cleanup to deployment, we move fast, integrate seamlessly, and bring outcomes tied to revenue and scale.

Analytics areas covered by our DSaaS solutions

Our DSaaS solutions don’t stop at models. They support decisions across your organization. From operations and finance to customer experience and supply chain, we embed data science into the core areas of your business.

Supply chain analytics

Forecast demand with accuracy, balance inventory, and cut logistics costs by 10-20%. We turn fragmented data into strategies that reduce disruption and maximize margins.

Operations analytics

Uncover bottlenecks, improve throughput, and monitor KPIs in real time. Clients often see 15-30% faster workflows and measurable efficiency gains across operations.

Risk & compliance analytics

Spot risks before they escalate — from financial exposure to regulatory drift. Our models reduce compliance incidents by up to 40%, keeping you audit-ready at all times.

Production analytics

For manufacturers, we use sensor and machine data to improve yield and reduce downtime, typically cutting production losses by 15-25%.

Predictive maintenance

AI-driven monitoring predicts failures before they occur, reducing unplanned downtime by 30-50% and lowering repair costs significantly.

Customer & product analytics

Reveal buying patterns, segment audiences, and optimize product strategies. Businesses report 10-20% higher retention and faster product adoption.

Financial analytics

Move from static reporting to dynamic forecasting and scenario modeling. This approach improves budgeting accuracy by 20-30% and strengthens cost control.

Sales forecasting

Our models account for seasonality and uncertainty, making pipelines more reliable. On average, sales teams see 15-25% greater forecast accuracy.

Marketing analytics

Identify which campaigns drive conversions, not just clicks. Optimized spend leads to 20-40% better ROI on marketing budgets.

Workforce & HR analytics

Predict churn, optimize hiring, and align workforce planning. Companies typically reduce turnover by 10-15% while improving recruitment outcomes.

Quality & defect analytics

Detect issues earlier using images, logs, and inspections. This helps reduce rework by up to 30% and boosts customer satisfaction.

Fraud & anomaly detection

Catch suspicious activity in real time, lowering fraud losses by 30-50% and safeguarding revenue streams without disrupting the user experience.

Our data science as a service methodology

Business goal mapping

Translating goals into data science objectives
Aligning scope with business priorities and KPIs
Identifying success metrics and risk factors

Data audit & access

Auditing all available data sources and formats
Resolving quality issues, gaps, and duplicates
Structuring and unifying data for analysis

Exploratory analysis

Visualizing trends, distributions, and patterns
Identifying correlations and early hypotheses
Flagging anomalies, noise, or missing signals

Model design

Choosing algorithms aligned with project goals
Building baseline models for benchmarking
Reiterating based on early performance results

Model validation

Testing models on real, unseen business data
Optimizing for accuracy, recall, and precision
Stress-testing for edge cases and variability

System integration

Packaging model for production environments
Integrating with existing tech infrastructure
Enabling real-time or batch predictions

Ongoing support

Tracking drift, performance, and accuracy drops
Scheduling periodic model updates
Providing ongoing tech and business support

Our industry-focused data science solutions

Manufacturing
Healthcare & life sciences
Retail & e-commerce
Logistics & supply chain
Finance & insurance
Energy & utilities
Telecom & media
SaaS & technology

Manufacturing

Increase uptime, reduce waste, and boost throughput by embedding intelligence across your production lines and operations. Our data science solutions are designed to improve decision-making on the factory floor and beyond.

Predictive maintenance for machines and assets
Computer vision for defect and anomaly detection
Process analytics for yield and energy efficiency

Healthcare & life sciences

Accelerate diagnostics, personalize treatment, and unlock insights from complex datasets, while staying compliant with regulations. We support data-driven decisions that improve outcomes at scale.

Patient risk scoring and triage modeling
Medical imaging analysis with AI
Clinical trial optimization and analytics

Retail & e-commerce

Drive personalized experiences, optimize inventory, and boost profitability with a 360° view of your customers and products. We help retailers turn window shopping into real purchases — both online and offline.

Dynamic pricing and promotion engines
AI-powered recommendation systems
Customer segmentation and behavior modeling

Logistics & supply chain

Cut delays, lower costs, and boost on-time delivery by bringing predictability and automation to every node of your supply chain. Our solutions help you anticipate disruptions, optimize routes, and make faster, data-backed decisions.

Route optimization and delivery forecasting
Inventory planning and stockout prevention
Real-time disruption modeling

Finance & insurance

Make smarter, faster, and safer decisions. From underwriting and risk assessment to fraud detection, our data science experts help strengthen resilience, reduce losses, and protect margins across operations.

Credit scoring and portfolio risk modeling
Real-time fraud and anomaly detection
Claims automation and compliance analytics

Energy & utilities

Balance demand, reduce outages, and optimize resource use through predictive modeling and real-time data integration. Whether you're managing grids, utilities, or renewables, we help improve reliability and support smarter energy distribution at scale.

Energy demand and load forecasting
Grid monitoring and fault prediction
Consumption analytics for efficiency

Telecom & media

Reduce churn, personalize content, and manage bandwidth proactively. We help telecom and media companies understand user behavior, forecast demand, and optimize infrastructure for performance and retention.

Subscriber churn prediction
Content recommendation and targeting
Network traffic and capacity forecasting

SaaS & technology

Improve features with product-level analytics that align directly with your roadmap and tech stack. Our solutions uncover behavioral patterns, highlight friction points, and support faster, product decision-making at every stage of growth.

Feature adoption and usage analysis
Churn modeling and retention forecasting
LLM and AI integration into product workflows

Drowning in dashboards but starving for answers?

Our data science experts turn noise into next steps, with impact you can track.

Our data science tech stack

Apache Hadoop
Apache Spark
ETL Tools

Python
R
Scikit-learn

SciPy
Pandas

Apache Kafka
MongoDB

Cassandra
HBase

Matplotlib
seaborn

Keras
PyTorch
TensorFlow
MXNet
Chainer

Theano
Transformers
bitsandbytes
OpenNN

MySQL
PostgreSQL
Microsoft SQL

Snowflake
Amazon Redshift

Docker
Kubernetes

Jenkins
GitLab CI/CD

What our customers think

Dr. Felix Berthelmann Managing Director Digital Science

“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.”

Industry Healthcare, Pharma, Life Sciences
Team size 2 specialists
Duration 44 months
Services Staff augmentation, Data science

Pierre Sipidin CEO PS Consult

“I was honestly very satisfied with their work. The client can now complete a task that used to take 10–15 minutes in seconds. The project has resulted in financial and time savings, and Innowise provided a range of technology expertise throughout the engagement.”

Industry IT services
Team size 1 specialist
Duration 7 days
Services Custom software development, consulting, staff augmentation

Dominik Märkl Director OneStop Pro

“When it comes to handling pressure situations, Innowise has always proven its deftness in managing these situations. They do this by having a clear understanding of our expected results to take our business towards growth and customer satisfaction.”

Industry Construction
Team size 7 specialists
Duration 36+ months
Services Custom software development

FAQ

Data science as a service (DSaaS) is a model where expert data teams, tools, and infrastructure are provided on demand to help businesses analyze data, build predictive models, and generate actionable insights, without needing an in-house data science team. It’s ideal for businesses that need fast, scalable insights, want to avoid the cost of full-time hires.

Data science service providers secure data using multi-layered measures: encryption during storage and transmission, strict user access controls, anonymization or pseudonymization of sensitive data, and secure cloud environments. They also adhere to key compliance frameworks such as GDPR, HIPAA, and SOC 2 to ensure industry-specific data protection, regulatory alignment, and long-term trust from clients.

DSaaS helps companies unlock value from their data without building costly internal teams. It enables faster decision-making, risk reduction, process automation, and more precise forecasting. For example, Airbnb increased booking conversion rates by over 3% after using machine learning models to personalize search results, built by their external data science partners.

High-quality data analytics starts with clean, consistent data and robust validation processes. We apply proven methodologies like cross-validation, A/B testing, and error analysis to evaluate model accuracy and reliability. Our team continuously monitors performance, updates assumptions, and aligns insights with business goals, so outputs are not just accurate but also relevant in real-world scenarios.

Data analytics focuses on interpreting existing data to uncover trends, answer specific questions, and support decisions — often using dashboards, reports, and descriptive statistics. Data science goes further by building predictive models, applying machine learning, and uncovering patterns in complex or unstructured data. It’s forward-looking, and it enables businesses to forecast outcomes and automate intelligent decision-making.

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

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What happens next?

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.

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.

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

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

Data science as a service (DSaaS)

Signs your business needs data science services

Our data science success stories

Our data science as a service offerings

Data cleaning & integration

Feature engineering

Data infrastructure pipelines

Analytics & BI platforms

Predictive model development

Model assessment & validation

Visualization & reporting

Recommendation engines

Advanced AI & LLM integration

Computer vision applications

Fraud & risk monitoring

AutoML & scalable AI

Seeing problems too late to fix them fast?

Data science solutions we provide

Choose Innowise as your data science service provider

Analytics areas covered by our DSaaS solutions

Supply chain analytics

Operations analytics

Risk & compliance analytics

Production analytics

Predictive maintenance

Customer & product analytics

Financial analytics

Sales forecasting

Marketing analytics

Workforce & HR analytics

Quality & defect analytics

Fraud & anomaly detection

Our data science as a service methodology

Business goal mapping

Data audit & access

Exploratory analysis

Model design

Model validation

System integration

Ongoing support

Our industry-focused data science solutions

Manufacturing

Healthcare & life sciences

Retail & e-commerce

Logistics & supply chain

Finance & insurance

Energy & utilities

Telecom & media

SaaS & technology

Drowning in dashboards but starving for answers?

Our data science tech stack

What our customers think

FAQ

What is data science as a service?

How do data science service providers secure data?

How does data science as a service benefit businesses?

How do you ensure the quality of data analytics insights?

What are the key differences between data science and data analytics?

Contact us

What happens next?

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