How we make this list: we compare pricing pages, product documentation and public user reviews. Ratings come from G2, Capterra or Trustpilot, with the date we checked them.
Key takeaways
- This guide covers companies you hire for data science work, stated plainly, since data science here means teams and programs, not apps.
- Fractal and Tiger Analytics lead for Fortune 500 decision science, while Mu Sigma suits continuous decision support at scale.
- LatentView leads for marketing and customer analytics, and Quantiphi leads for Google Cloud-based machine learning work.
- Pricing is mostly quote-based, with hourly bands from about $50 to $300 depending on the firm and engagement type.
- Always ask how a firm deploys and monitors models after the proof of concept, since that is where most programs fail.
Quick comparison
| Tool | Best for | Starting price | Free plan |
|---|
 Fractal Analytics | Fortune 500 decision science | See website | Not applicable |
 Tiger Analytics | Large enterprise data science teams | See website | Not applicable |
 Mu Sigma | Continuous decision science | See website | Not applicable |
 LatentView Analytics | Marketing and customer analytics | See website | Not applicable |
 Tredence | Retail and consumer goods analytics | See website | Not applicable |
 Quantiphi | Google Cloud machine learning | See website | Not applicable |
 Deloitte | Governed enterprise programs | See website | Not applicable |
 Slalom | Local consultants with cloud delivery | See website | Not applicable |
Is your product missing or out of date?
We review this list regularly. Vendors can request a listing, send updated pricing or ask about featured placement.
The best data science companies
Starting priceSee website
Free planNot applicable
Fractal Analytics is one of the most established decision-science firms, serving Fortune 500 companies in consumer goods, retail, and financial services. Its work centers on decision intelligence: forecasting, pricing, customer analytics, and AI solutions that change how large companies decide, not just how they report.
Guides put Fractal rates around $150 to $300 per hour, with engagements running into multi-year programs. That pricing suits large enterprises with large data teams and large budgets. Smaller companies get more value from a fixed-scope firm, but for a Fortune 500 program, Fractal is a top shortlist name.
What we like- Deep decision-science practice
- Strong in consumer goods, retail, and financial services
- High business alignment
Watch out for- Upper-mid to premium rates, roughly $150 to $300 per hour by guides
- Enterprise focus
- Weeks to start
Starting priceSee website
Free planNot applicable
Tiger Analytics builds large data science teams for multi-year enterprise programs, covering data engineering, machine learning, forecasting, and business intelligence. Its model suits companies that need a whole analytics function, not a single project, with teams that stay embedded across business units.
Pricing is not published, and engagements run at enterprise scale, so expect upper-mid rates and a weeks-long start. For a large company that wants a long-term analytics partner rather than a one-off vendor, Tiger Analytics is a strong candidate, especially where forecasting and modernized data infrastructure matter.
What we like- Large data science teams at scale
- Strong machine learning and forecasting
- Multi-year program experience
Watch out for- Enterprise focus
- Pricing not published
- Weeks to start
Starting priceSee website
Free planNot applicable
Mu Sigma pioneered the decision-sciences model for large enterprises, staffing teams that support decisions continuously rather than delivering a single model and leaving. That approach suits companies with steady streams of pricing, supply, and customer decisions, where an embedded team beats a rotating cast of vendors.
Guides place Mu Sigma rates in the mid range, below the premium strategy houses. The model fits large enterprises best, since continuous support needs steady volume to justify it. For a big company that wants decisions supported week after week, Mu Sigma remains a proven choice.
What we like- Decision-science model built for continuous support
- Large enterprise experience
- Mid-range rates by guides
Watch out for- Less product depth than platform firms
- Engagement model suits large companies best
- Weeks to start
Starting priceSee website
Free planNot applicable
LatentView Analytics focuses on marketing, customer, and supply chain analytics for large brands, with a strong record on review platforms: a 4.5 out of 5 Clutch rating and a $150 to $199 hourly band published there. In March 2026 it confirmed Databricks Gold Partner status, and its GenAI revenue reached about 28 percent of fiscal 2026 revenue by its own earnings release.
The honest gap is documentation of named agentic products: platform breadth and client history are strong, but specific flagship case studies are thinner than at some specialists. Ask for a named reference and a concrete prior deliverable before signing. For marketing analytics at scale, LatentView is a top pick.
What we like- Strong marketing and customer analytics
- Clutch rating 4.5 out of 5
- Databricks Gold Partner status in 2026
Watch out for- Clutch hourly band $150 to $199
- Parent listed in India, US arm handles delivery
- Agentic deliverables less documented
Starting priceSee website
Free planNot applicable
Tredence specializes in data science and AI for retail, consumer goods, and supply chain, with deep work on Databricks. Its pitch is connecting analytics to operations: better forecasting, better decisions, and measurable business outcomes rather than dashboards nobody opens.
Rates sit in the mid range by guides, with pricing not published. The sector focus is a strength for retailers and a limit for others, so companies outside retail and consumer goods should look elsewhere first. Inside those sectors, Tredence is a focused, proven partner.
What we like- Data science on Databricks for retail and consumer goods
- Decision support tied to operations
- Mid-range rates
Watch out for- Sector focus is narrow
- Pricing not published
- Weeks to start
Starting priceSee website
Free planNot applicable
Quantiphi is an AI-first digital engineering firm built around Google Cloud, covering data science, machine learning, and analytics programs on that stack. For companies already standardized on Google Cloud, Quantiphi offers deeper platform expertise than a generalist firm, with delivery teams that know the cloud services inside out.
The Google focus is also the limit: companies on Azure, AWS, or Databricks get less value here. Rates sit in the mid range by guides, with pricing not published. For a Google Cloud shop that wants machine learning in production, Quantiphi is the natural first call.
What we like- AI-first engineering on Google Cloud
- Strong machine learning delivery
- Mid-range rates
Watch out for- Google Cloud focus narrows platform choice
- Pricing not published
- Weeks to start
Starting priceSee website
Free planNot applicable
Deloitte brings Big Four governance to data science, which matters most in regulated industries where risk, audit, and compliance shape every model. Its data science work sits inside governed programs tied to finance, risk, and audit, with global delivery teams and a formal approach to model validation.
Rates run premium, around $150 to $300 per hour by guides, and start times run to weeks with heavy process. For a small or mid-size project, that weight is overkill. For a regulated enterprise that needs AI tied to risk and audit, Deloitte is the safest large-firm choice.
What we like- Big Four governance and risk strength
- Regulated AI programs
- Global delivery at scale
Watch out for- Premium rates around $150 to $300 per hour by guides
- Slower start
- Heavy process for small scopes
Starting priceSee website
Free planNot applicable
Slalom offers local data science consultants in US cities, paired with cloud delivery teams. That local model suits companies that want consultants on site, in their time zone, and familiar with their market, rather than a fully remote team. Its analytics and BI depth is strong, with AI as one part of broader cloud transformation work.
Rates sit in the upper-mid range, around $150 to $300 per hour by guides. Pure analytics depth trails firms like Fractal or Tiger, so companies needing the deepest modeling talent should compare carefully. For a US company that values local presence and cloud delivery, Slalom is a strong fit.
What we like- Local consultants in US cities
- Cloud and analytics delivery
- Strong business alignment
Watch out for- Upper-mid rates around $150 to $300 per hour by guides
- Less deep specialization than pure analytics firms
How we chose
We compared data science firms on enterprise track record, sector depth, platform partnerships, published rate signals, and current 2026 standing, using vendor pages and October 2026 firm guides. We favored firms with verifiable client work and review history, and we left out vendors with no clear data science practice or no published evidence. Rates here are guide estimates, not quotes, since most firms price by engagement, so request a written proposal for your scope.
How to pick a data science company
Start with the problem, not the firm ranking. If marketing analytics is the bottleneck, shortlist LatentView. If Fortune 500 decision science is the need, shortlist Fractal or Tiger. If Google Cloud is your stack, call Quantiphi. If regulation governs the work, talk to Deloitte. Sector and platform fit predict success better than any league table.
Ask about life after the pilot
Most data science programs fail after the proof of concept, when nobody owns deployment and monitoring. Ask every finalist how models move to production, who monitors drift and accuracy, and what happens when a model degrades. A firm with a clear answer here beats a firm with a flashier demo.
Price the engagement honestly
Hourly bands from $50 to $300 hide the real cost, which is team size times duration. Ask for a fixed-scope pilot price, a monthly managed-team price, and the cost of a full production rollout, then compare totals rather than rates. A cheaper hourly rate with a larger team can cost more than a premium firm with a smaller, faster team. Get all three figures in writing before you sign, since verbal rate quotes rarely survive the first scope change.
Frequently asked questions
How much does hiring a data science company cost?
Most firms price by engagement, not by product. Guide hourly bands run $50 to $99 for boutique firms, $150 to $199 for firms like LatentView, and $150 to $300 for premium firms like Fractal and Deloitte. Fixed pilots often run $50,000 to $150,000, with managed teams at $40,000 to $110,000 per month by some guides.
Which company is best for a mid-size business?
Fixed-scope firms such as ScienceSoft or InData Labs suit mid-size budgets better than enterprise firms, though they are not on this list. Among the firms here, LatentView and Tredence offer the most mid-range value, while Fractal, Tiger, and Deloitte suit larger budgets.
Should I hire a firm or build an in-house team?
Hire a firm for speed and specialist skills on a defined program, and build in-house for work that repeats every quarter. Many companies do both: a firm builds the first models, and an internal team takes over monitoring and iteration.
What should I check before signing?
Named references, a concrete prior deliverable in your sector, deployment and monitoring plans, and data governance terms. Confirm who owns the models and code, and get exit terms in writing before the engagement starts.
Do these firms work with small companies?
Mostly no, at least not at enterprise rates. Small companies do better with boutique firms or freelancers on fixed scopes. The firms here suit mid-size to large companies with real data volume and multi-month programs, so match the firm size to your own before you start outreach.
Sources we checked (8)
- https://fractal.ai
- https://www.tigeranalytics.com
- https://www.mu-sigma.com
- https://www.latentview.com
- https://www.tredence.com
- https://quantiphi.com
- https://www.deloitte.com
- https://www.slalom.com
Is your product missing or out of date?
We review this list regularly. Vendors can request a listing, send updated pricing or ask about featured placement.
Shihab Mia · Founder, Rankite
Shihab has 5+ years in B2B and SaaS SEO. He writes Rankite's software buying guides from pricing pages, documentation and public user reviews. More about Shihab.