Free Data Scientist Quote Template
Data scientists quote per project phase because cleaning messy data often takes longer than the analysis itself. A quote that includes a data assessment phase prevents budget surprises when the client's CRM export turns out to be full of duplicates and formatting errors.
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How does a data scientist write a quote?
A data science quote sets out the planned work and the fee before the project starts, such as an insights report, a data pipeline, and a stakeholder session. List each deliverable, the data scope, and assumptions, and note that model accuracy depends on the data. The fee stays an estimate until accepted.
Typical line items
- Data analysis and insights report
- Data pipeline setup and automation
- Presentation and stakeholder Q&A session
- Data exploration and feature engineering
- Model building and validation
- Documentation and methodology notes
- Day rate for exploratory work
- Data scope and assumptions
How the work is charged
Data scientists usually quote a fixed fee for a defined deliverable, with exploratory or research-heavy work estimated at a day rate. The price assumes a stated data scope and quality.
Payment terms and deposits
A quote commonly proposes a deposit before work begins, with stage payments tied to deliverables. The fee holds for a stated period and remains an estimate until accepted, so note what poor data quality would alter.
Tax and compliance
If you are registered for sales tax or VAT, show it as a separate line with your registration number. Confirm the tax treatment that applies to data services where you work.
Frequently asked questions
How much does data science consulting cost?
Freelance data scientists charge €700 to €1,200 per day. A customer segmentation analysis project typically costs €3,000 to €8,000 depending on data volume and complexity. A predictive model with full documentation and deployment support costs €8,000 to €25,000 or more.
Should a data science quote include data cleaning?
Yes, and separately. Data preparation typically takes 40% to 60% of a project's time. Quote it as a separate phase so clients understand the cost and can choose to do it themselves if they have an internal team. Hiding data cleaning in a blended rate leads to disputes when a 'two-day analysis' becomes a three-week project.
What should a data science deliverables section include?
List the specific outputs: a written report, a Jupyter notebook or code repository, a dashboard (and which tool it's built in), an executive presentation, and the data models or files. Specify whether the client receives the raw code or just the outputs. Clients who want to iterate on the model themselves need the source code.
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Related quote templates
Read the complete quoting guide to see how to price a job and turn an accepted quote into an invoice.
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