IT Solutions - Ireland
Data Science & Machine Learning
Beyond dashboards, real competitive advantage now comes from predictive models - forecasting demand, scoring leads, detecting fraud, optimising pricing. We build and deploy machine learning models suited to your actual data, not an off-the-shelf tool that doesn't fit your business.
What's included in a data science engagement
Forecasting & demand prediction
Predict sales, footfall, stock needs or seasonal demand from your historical data.
Customer & lead scoring
Machine learning models that rank leads or customers by likelihood to convert or churn.
Fraud & anomaly detection
Automatically flag unusual transactions, claims or behaviour for review.
Pricing & revenue optimisation
Data-driven pricing models that respond to demand, competition and margin targets.
Model deployment & MLOps
Models shipped as real, monitored systems in production - not a one-off spreadsheet exercise.
Data pipeline engineering
Clean, automated pipelines so your models run on reliable, up-to-date data.
What's included in a data science engagement
- Data audit - assessing what you have and what's missing
- Model design suited to your specific business problem
- Model training, validation and accuracy benchmarking
- Deployment into a usable dashboard, API or existing system
- Documentation explaining the model in plain English
- Retraining plan to keep the model accurate over time
Not sure what you need?
Book a free 20-minute discovery call. We'll ask about your business and customers, then send a written, fixed-price proposal - within 1 business day.
Book your free callData Science & Machine Learning packages
Published, fixed starting prices - the final quote depends on your exact scope and is always agreed before work begins.
Feasibility Study
Excludes VAT. Final quote confirmed after a free discovery call.
- Data audit & readiness assessment
- Model recommendation report
- ROI estimate
- 1-2 week turnaround
Predictive Model
Excludes VAT. Final quote confirmed after a free discovery call.
- One production model (forecast, scoring, etc.)
- Deployment to dashboard or API
- Accuracy benchmarking
- Documentation & handover
ML Platform
Bigger or more complex projects - scoped and priced after a free consultation.
- Multiple integrated models
- Automated data pipelines
- Ongoing monitoring & retraining
- Dedicated data science support
Data Science & Machine Learning - frequently asked questions
Do I need a lot of data before this is worth doing?
You need enough relevant history to find a pattern - often 12+ months of transactions, bookings or operational records is enough to start. We assess this honestly in the feasibility study before recommending a full build.
What's the difference between this and the AI automation service?
AI Automation focuses on saving time - chatbots and workflow automation. Data Science & Machine Learning focuses on prediction and decisions - forecasting, scoring and optimisation built on your own historical data. Many clients use both.
What tools and platforms do you use?
We select the right stack per project - typically Python (scikit-learn, PyTorch), cloud ML platforms (Azure ML, AWS SageMaker or Google Vertex AI) and standard data warehousing tools - chosen for your scale, not a one-size-fits-all template.
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Learn more →Ready to talk about Data Science & Machine Learning?
Tell us about your business and goals. You'll get a clear, fixed-price proposal - within 1 business day.