Data Analytics Consulting Services | Data Science Consulting Services

Data science consulting services

We help you solve your most complex challenges and predict what's next. Our data science consulting services use machine learning and AI to build predictive models that forecast trends, automate decisions, and create new value from your data. Our collaborative team of data scientists, ML engineers, and data experts works to turn your data into a strategic asset and a significant competitive advantage.

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Why businesses partner with Pythian for data science services

Our data science services are powered by a team of top-tier talent, ensuring every aspect of your data journey is handled with precision. We not only deliver on your immediate needs but build a scalable, future-proof analytics environment that fuels your business growth.

25+

Years of data expertise

Our deep experience in data engineering and analytics provides the foundation for successful, enterprise-grade data science.

500+

Global customers

As a global service provider, we serve customers across the world—many who have been with us for decades. 

What's included in Pythian's data science service

An end-to-end approach to data science

Delivering effective data science services requires a blend of technical expertise, deep data knowledge, and a strong understanding of business needs. Pythian has the proven expertise to manage the entire data science lifecycle and deliver real business value.

Business understanding and strategy

We begin by understanding your unique business challenges and goals. Our data science consultants work with you to define the problem and create a strategic roadmap, ensuring the solutions we build will have a direct impact.

Business understanding and strategy

Data engineering and preparation

Our data engineers build the reliable data foundation that is essential for any successful data science initiative. We design and manage robust data pipelines that collect, clean, and prepare data from any source, making it ready for model development.

Data engineering and preparation

Predictive modeling (ML & AI)

This is where we turn your data into predictions. Our data scientists design, build, and train predictive analytics and machine learning models for forecasting sales, reducing churn, detecting fraud, and automating decisions.

Predictive modeling (ML & AI)

MLOps and deployment

A model only provides value when it's in production. We handle the deployment and operationalization of your models, implementing MLOps best practices to ensure they stay accurate and performant over time.

MLOps and deployment

Commodities firm optimizes bid prices with machine learning

A leading commodities trading firm needed to optimize its bidding strategy but lacked the internal resources. Pythian's data scientists designed, built, and deployed a machine-learning model that delivered real-time bid pricing intelligence, driving profitability on high-volume transactions.

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Data science business outcomes

Better utilize your data with visual dashboards and reports

Data science transforms your business from reactive to predictive. Move away from analyzing past events and empower your teams to forecast future trends, automate complex processes, and make strategic decisions that drive better business outcomes.

Forecast future trends

Leverage predictive analytics to anticipate market shifts, forecast sales, and manage inventory with greater accuracy. Make proactive decisions based on reliable data, not just intuition.

Forecast future trends

Automate complex decisions

Implement machine learning models to automate complex, real-time decisions, such as bid pricing, fraud detection, or credit scoring. This increases operational efficiency and reduces the potential for human error.

Automate complex decisions

Mitigate business risks

Use data science to identify potential risks before they impact your business. By analyzing patterns and anomalies in your data, you can proactively address issues like customer churn, supply chain disruptions, or security threats.

Mitigate business risks

Personalize customer experiences

Gain a deeper understanding of your customers by analyzing their behavior. Use these insights to deliver personalized product recommendations, targeted marketing campaigns, and a better overall customer journey, leading to increased loyalty.

Personalize customer experiences
Data analytics services

Turn your data into a predictive asset, no matter the platform

Our data scientists are experts across more than 45 technologies. We leverage your existing data platforms—whether they are data warehouses, data lakes, or in the cloud—to build and deploy machine learning models that solve your most complex challenges.

Oracle analytics services
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Oracle analytics services

Maximize your Oracle investments with our team of certified consultants. We provide solutions that evolve with your business, ensuring you gain the most value from your data whether it's on-premise or in Oracle Cloud Infrastructure (OCI).

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Tableau analytics services
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Tableau analytics services

Transform the way you use data to solve problems. Our experts help you deploy Tableau in the cloud or on-premises, connecting all your data to create powerful visual stories and build a scalable data culture across your organization.

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PowerBI analytics services
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PowerBI analytics services

Turn your data into a competitive advantage with Microsoft PowerBI. As a Microsoft Gold Partner, we help you establish strong processes for collecting and storing data to build intuitive, interactive dashboards that answer your most pressing business questions.

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BigQuery and Looker services
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BigQuery and Looker services

Leverage the power of Google's advanced infrastructure for fast, scalable, serverless analytics. As a trusted Google Cloud Premier Partner, our certified experts will help you harness BigQuery and Looker to accelerate your time to value and drive innovation.

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“From day one, Pythian was an extension of my team. They weren’t a third-party; they were a group of teammates just as intent on project success as the Schnucks employees.”
Tom Henry

Chief Data & Deputy Chief Information Officer, Schnucks

How Pythian's data science service works

A proven process for building and deploying predictive models

We use a proven, end-to-end process to guide you from the initial business problem to a fully operational machine learning model that delivers continuous value. Our experts manage the entire lifecycle to ensure your data science initiatives are successful, scalable, and drive measurable business results.

Discovery for strategic planning

Together, we'll define the business problem and the key success metrics that need to be achieved. This ensures the predictive models we build will directly impact your strategic goals and deliver a measurable return on investment.

Data engineering and preparation

We conduct a thorough assessment of your data landscape and build the robust data pipelines required for machine learning. Our data experts ensure the data is clean, accurate, and structured correctly to train powerful and reliable predictive models.

Predictive modeling and development

With a clear understanding of your business objectives, our data scientists design, build, and train custom machine learning models. We test and validate these models rigorously to ensure they are accurate, fair, and ready to perform in a production environment.

Model deployment and operationalization (MLOps)

We deploy the validated model into your existing business applications and systems. Using MLOps best practices, we continuously monitor the model's performance, manage its lifecycle, and implement automated retraining to ensure it stays accurate over time.

Insight delivery and continuous optimization

We ensure the insights from your model are clear and actionable, often through interactive dashboards and reports. Our experts work with you to interpret the results and identify new opportunities for leveraging your data for business growth.

Go beyond reporting to predict what's next

Ready to solve your most complex challenges?

Related resources

See how our customers are winning with data science

Learn how a strategic approach to data science, machine learning, and predictive analytics can transform your business. Explore real-world success stories below.

Openforce Enhances Data-Driven Decision-Making with Improved Reporting
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Openforce Enhances Data-Driven Decision-Making with Improved Reporting

Facing challenges with siloed data, Openforce partnered with Pythian to build a modern data platform. Our data experts automated data integration and created a single source of truth, building the reliable data foundation required to enable future data science and machine learning initiatives.

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Midwest Grocer Turns Shopper Data Into Satisfied Customers
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Midwest Grocer Turns Shopper Data Into Satisfied Customers

A leading supermarket retailer wanted to use its robust customer data to drive stronger decision-making. Pythian's data scientists helped develop a machine-learning model to predict shopper behavior, enabling more accurate product recommendations and a better customer experience.

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Day & Ross Accelerates Freight Throughput with Generative AI
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Day & Ross Accelerates Freight Throughput with Generative AI

To improve scalability and ensure real-time data visibility, Day & Ross partnered with Pythian to implement a cutting-edge solution. Our data scientists used Google's Gemini Generative AI to enhance their logistics platform, improving data accuracy and accelerating freight throughput.

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Frequently asked questions (FAQ) about data science services

What is the difference between data science and analytics services?

While traditional data and analytics services focus on understanding past performance through reports and dashboards (Business Intelligence), data science and analytics services focus on predicting future outcomes. Data science uses more advanced techniques like machine learning and AI to build models that can forecast trends, automate complex decisions, and prescribe actions to help your business prepare for what's next.

Why should I choose Pythian over other data science service providers?

Unlike many data science service providers who may only focus on building models, Pythian manages the entire end-to-end lifecycle. We have proven expertise in the foundational data engineering required to prepare your data, the advanced skills to build and train custom machine learning models, and the MLOps knowledge to deploy, monitor, and maintain those models in production so they deliver continuous, long-term value.

What is included in your data science consulting services?

Our data science consulting services follow a proven, five-step process to ensure success. We start with discovery and strategic planning to define the business problem, then perform the necessary data engineering and preparation. This is followed by predictive modeling and development, model deployment and operationalization (MLOps), and finally, insight delivery and continuous optimization to ensure the project delivers a measurable return on investment.

What are the benefits of outsource data science services?

When you outsource data science services to a partner like Pythian, you gain immediate access to a collaborative team of experts—including data scientists, data engineers, and ML engineers—without the high cost and long timeframe required to build one in-house. This approach reduces risk, accelerates your time-to-value, and allows your internal teams to remain focused on their core business objectives while we solve your most complex data challenges.

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