Advanced Analytics Services

Advanced Analytics Services – Transform Data Into Business Insights

Make data-driven decisions with greater confidence using Toptal’s Advanced Analytics Services. Our data scientists develop sophisticated analytics solutions that help organizations anticipate outcomes, understand performance, and identify opportunities for growth.

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Clients Served

35,000+

Total Vetted Professionals

30,000+

AI & Big Data Experts

2,000+

AI & Data Project Hours Delivered

250,000+

TRUSTED BY LEADING BRANDS

Our Services

Toptal Advanced Analytics Services

Apply advanced analytics to complex business questions across customer behavior, operations, risk, and growth. Toptal’s data scientists select the right analytical methods for each challenge and translate results into insights teams can use to take action.

Predictive Analytics

Build models that forecast business metrics such as demand and customer churn, helping you plan ahead with greater confidence.

Prescriptive Analytics

Identify effective next steps with optimization and scenario modeling that supports complex operational decisions.

Business Intelligence and Dashboards

Build interactive dashboards and reports that give teams a clear, accessible view of performance across the business.

Machine Learning Development

Design and train machine learning models that automate predictions and adapt as new data becomes available.

Data Science Consulting

Define the business questions and analytical approaches that help focus your data science investments on high-value outcomes.

Customer and Marketing Analytics

Analyze customer behavior and campaign performance to improve retention and maximize marketing ROI.

Risk and Fraud Detection

Detect anomalies and evaluate risk as events occur to reduce potential fraud losses while protecting revenue.

Natural Language Processing

Extract meaning from unstructured text to identify intent, sentiment, and recurring themes at scale.

Data Mining and Pattern Discovery

Explore large data sets to uncover relationships and behavioral segments that can shape strategic and product decisions.

Analytics Data Engineering

Build reliable data pipelines that provide clean, structured information for analysis at scale.

Advanced Statistical Modeling

Apply rigorous statistical methods to test hypotheses, quantify relationships, and strengthen evidence-based decision-making.

Model Deployment and MLOps

Deploy and monitor models in production with MLOps practices that support consistent performance as data and business conditions change.

Looking for guidance about the perfect advanced analytics service for your needs?

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PARTNERSHIP THAT WORKS

How We Deliver Advanced Analytics Services

Our advanced analytics experts, with experience at leading companies, develop and deploy tailored solutions to meet your business needs and unique industry demands for sustainable results and long-term success.

Discover

A leader from our team works with you to understand your business challenges, pain points, and strategic goals to uncover new opportunities and identify the options to reach your objectives.

Define

Toptal leaders collaborate with your team to define your specific goals and service needs, evaluating multiple approaches and aligning requirements with your strategic objectives to define the best solution.

Develop

We will create your unique project timeline, process, and first drafts, whether your goal is to launch a new analytics program, put machine learning into production, or turn existing data into actionable business insights.

Deploy

Toptal will get to work, tracking quality assurance, handling project management, and maintaining the delivery schedule.

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Robert Orshaw

CEO, Technology Services

As Toptal’s CEO of Technology Services, Robert leads strategy and operations across our technical services portfolio, spanning AI, automation, and operations. He previously served as Deloitte’s Managing Director & Chief Commercial Officer, transforming its Cloud Operate and Engineering business into a multibillion-dollar operation. He held senior roles at IBM, Velocity, co-founded Corio, and was CIO for two Fortune 500 companies.As Toptal’s CEO of Technology Services, Robert leads strategy and operations across our technical services portfolio, spanning AI, automation, and operations. He previously served as Deloitte’s Managing Director & Chief Commercial Officer, transforming its Cloud Operate and Engineering business into a multibillion-dollar operation. He held senior roles at IBM, Velocity, co-founded Corio, and was CIO for two Fortune 500 companies.

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CUSTOMIZED SOLUTIONS

Advanced Analytics Solutions That Deliver Value

Toptal delivers leading advanced analytics services through its diverse talent network and flexible delivery models. We implement the right skills at each project phase, blending expertise from various roles for seamless execution.

End-to-End Delivery by Toptal
On-demand Talent & Teams

End-to-End Delivery by Toptal

Comprehensive project delivery, tailored to your specific requirements.

CEO, Technology Services

Delivery Manager

Machine Learning Engineer

Data Scientist

Data Analytics Consultant

AI Systems Architect

Data Analyst

Data Engineer

Robert Orshaw

CEO, Technology Services

Previously at

Technology Experience

35+ Years

Rachael Karaffa

Delivery Manager

Rachael serves as a Delivery Manager at Toptal with a focus on leading diverse global teams in developing innovative solutions for our clients. She works across multiple disciplines, including technology, marketing, and management consulting. Rachael specializes in managing people and client relationships, process optimization, and driving teams toward optimal business outcomes.

Previously Managed Client

Experience

9+ Years

Yi Sheng Chan

Verified Expert in Engineering

11+ Years

of Experience

Machine Learning Engineer

Yi is currently working at Apple as a software engineer, building a platform and framework for training machine learning models on hundreds of millions of Apple devices in a privacy-preserving way. He has designed and built scalable ML systems and data infrastructure in cloud environments since 2014, and his expertise spans DevOps, ML, data engineering, both batch and streaming, and back-end web services. Yi's strongest skill is Python, Java, Spark, and SQL, coupled with good ML knowledge.

Previously at

Oliver Holloway

Verified Expert in Engineering

14+ Years

of Experience

Data Scientist

Oliver is a versatile data scientist and software engineer with more than 14 years of experience and a postgraduate mathematics degree from Oxford. With this combination, he is adept at picking up new skills quickly to deliver robust solutions to the most demanding businesses, and his career assignments have ranged from building machine learning solutions for startups to leading project teams and handling vast amounts of data at Goldman Sachs.

Previously at

Radu Marian

Verified Expert in Engineering

27+ Years

of Experience

Data Analytics Consultant

Radu is a senior GenAI and knowledge graph solution architect delivering solutions for cybersecurity, investments, agriculture, and economy domains. For over 27 years, he has accomplished numerous proofs of concept and pilot projects, led standardization efforts at OASIS and ITU-T, and was granted patents for inventions in cybersecurity and enterprise knowledge management. Radu holds a master's degree in computer science from UNC Charlotte.

Previously at

Gabriel Tavares de Souza

Verified Expert in Engineering

19+ Years

of Experience

Gabriel is a principal engineer and AI systems architect with 19+ years of experience delivering production-grade software across AI, cloud, and distributed systems. He specializes in RAG pipelines, agent-based workflows, and scalable back-end architectures, with a strong focus on reliability, latency, and cost control. Gabriel thrives on high-complexity projects that require senior technical ownership from concept to production.

Previously at

A. Rosa Castillo, PhD

Verified Expert in Engineering

14+ Years

of Experience

Data Analyst

Rosa is a full-stack developer and data scientist with a PhD, solid research skills, and extensive software engineering experience. Combining the academy and industry approaches to data sciences, she can contribute to the whole data pipeline—from exploratory data analysis to prototyping and production. Rosa has also efficiently worked on projects across different countries using her professional English, Italian, German, and Spanish proficiency.

Previously at

Ram Verma

Verified Expert in Engineering

9+ Years

of Experience

Data Engineer

Ram has over four years of professional experience architecting and leading the development of engineering solutions with an emphasis on object-oriented design and software infrastructure debugging. He specializes in Java and Python back-end development of large-scale systems, cloud migrations, microservices, and data pipeline processes. Ram's expertise includes developing business plans and requirements specifications and leading technical projects with strong inter-team communication.

Previously at

On-demand Talent & Teams

30,000+ vetted professionals, ready to deploy individually or in teams.

Data Engineer

Machine Learning Developer

Data Scientist

Machine Learning Engineer

Data Engineer

Data Analyst

Data Analytics Consultant

Data Science Lead

Data Analyst

Verified Expert in Engineering

35+ Years

of Experience

Data Engineer

Davide is a data engineer certified by Microsoft Azure and AWS and an experienced data architect. He is the author of "Business Intelligence with MicroStrategy Cookbook." With a career spanning two decades in data warehousing, using relational and NoSQL databases, Davide's job consists of loading, transforming, and visualizing large amounts of data. Lately, he has been working on Cloud Big Data projects with Fortune 500 clients.

Previously at

Verified Expert in Engineering

24+ Years

of Experience

Machine Learning Developer

Lovro is a machine learning engineer and data scientist with a strong enthusiasm for deep learning applications. By combining his academic knowledge with practical industry experience, he is able to contribute to every stage of the AI software development process. Lovro’s professional background spans startups, large corporations such as his engineering role at Amazon, and research positions in academic institutions and universities.

Previously at

Verified Expert in Engineering

24+ Years

of Experience

Data Scientist

Denis is a senior full-stack AI engineer and data scientist, highly skilled in modern generative tech (GPT-4, Midjourney, and more), machine learning, ETL pipelines, data analysis, mathematical modeling, big data, and MLOps. He has a PhD in mathematics, and his data science expertise includes probabilistic risk modeling, revenue forecasting, geospatial data analysis, handwriting recognition, anomaly detection in time series, data engineering, and team leading.

Previously at

Verified Expert in Engineering

9+ Years

of Experience

Machine Learning Engineer

Mohab is a data scientist and machine learning developer who specializes in natural language processing (NLP) and computer vision. He has more than nine years of professional experience, and recent projects have focused on machine learning in the areas of natural language understanding (NLU), cheminformatics, and self-driving cars. Mohab stays current with cutting-edge advancements in deep learning.

Previously at

Verified Expert in Engineering

6+ Years

of Experience

Data Engineer

Karanpreet is an experienced data engineer with a solid background in working with multiple leading international enterprise clients across the retail and investment banking domain.

Previously at

Verified Expert in Engineering

8+ Years

of Experience

Data Analyst

Jhony is a data analytics expert with more than 8 years of experience leading and implementing end-to-end analytics projects, including data project planning and definition; data extraction, ingestion, cleaning, and transformation; and data visualization on cloud platforms.

Previously at

Verified Expert in Management Consulting

14+ Years

of Experience

Data Analytics Consultant

Gustavo is an expert in management consulting with extensive experience working with digital native tech companies and retail, energy, and telecom corporations. He combines strong analytical, abstract thinking and problem-solving skills with a remarkable capacity to connect strategic, product, and commercial perspectives.

Previously at

Verified Expert in Engineering

26+ Years

of Experience

Data Science Lead

Nicolas is an expert data scientist with over 26 years of experience using programming languages, including R and Python, to design and develop AI/ML data products, combined with strong practice leadership and people management skills. Nicolas is a published author and thought leader with a vast track record of success in implementing new and innovative ways of achieving the most scalable, data-centric outcomes to drive new business while promoting a consultative and collaborative environment.

Previously at

Verified Expert in Engineering

18+ Years

of Experience

Data Analyst

Emilio is a computer science engineer and MBA graduate with 18+ years of experience helping businesses define and analyze their KPIs across marketing, sales, operations, and finance. He is skilled in SQL and has been working with Tableau since 2011, developing all data integration required to feed Tableau from any data source. As a Tableau consultant and trainer, Emilio can quickly interpret the business needs and build insightful dashboards.

Previously at

Looking for guidance about the perfect advanced analytics service for your needs?

Get a Free Consultation Now

Looking for guidance about the perfect advanced analytics service for your needs?

UNRIVALED EXPERTISE

Our Talent Has Worked With Top Companies

Having previously worked with these leading global companies, our talent brings valuable insights and expertise to deliver world-class outcomes.

WHY ORGANIZATIONS CHOOSE US

Toptal in Action

Discover the cutting-edge benefits our clients enjoy from the global Toptal network.

Toptal helps Precision Drilling revolutionize rig performance with real-time insights, reducing data retrieval times from months to seconds.

Challenge: Precision Drilling needed a platform to unlock the full potential of its real-time rig data. Previous attempts with third-party vendors failed due to rigid processes and poor collaboration, leaving the company with inefficiencies, stalled innovation, and no scalable solution to drive digital transformation.

Solution: Toptal’s dedicated team of engineers partnered with Precision’s in-house staff to build Clarity—a custom data visualization platform designed to improve rig efficiency and decision-making. Leveraging Snowflake, Python, Kubernetes, and Azure, the platform processes large data sets in real time, providing a scalable foundation for future growth.

Impact: With Clarity, Toptal reduced Precision’s data retrieval times from months to seconds, enabling instant insights that drive faster, smarter decisions and optimized rig performance. This allowed Precision to shift from a traditional service provider to a tech leader, setting a new benchmark for digital transformation in the oil and gas industry.

It wasn’t a customer-vendor relationship; it was more of an integrated relationship.

Shuja Goraya, CTO, Precision Drilling

Toptal Ranked #1 Most Reliable Professional Services Company in America

Newsweek and Statista’s rankings were based on an independent survey of more than 2,400 decision-makers at Fortune 500s.

IBM — Newsweek's Most Reliable Companies in America 2026 ranking. Toptal is ranked #11, the highest-ranked professional services firm.

See the Most Reliable Companies in America

Methodology for the Rankings

How likely the respondent is to recommend the selected company to others.

Measures the convenience of interaction with the company and efficiency of processes.

Measures the company’s cost-effectiveness and quality relative to price.

Measures whether the company consistently meets or exceeds expectations in quality and timeliness of deliverables.

Measures the company’s ability to consistently fulfill commitments and maintain customer trust.

See the Most Reliable Companies in America

Industry Insights

Explore Insights From the Advanced Analytics Field

Read the latest articles and resources on advanced analytics, covering machine learning, predictive modeling, data visualization, and MLOps, to keep your team current as tools and techniques evolve.

Small Data, Big Opportunities

By now, most have heard of Big Data – the buzzword du jour across most business circles. In this exploratory piece, Management Consultant, Gregory Thompson, introduces us to the wonderful world of Small Data. Specifically, he guides us through its broader market dynamics, tools, players and solutions, and includes a practical implementation guide for how small businesses might add analytics as a core-capability to their respective business arsenals.

Gregory Thompson

Verified Expert in Management Consulting

Greg is an experienced finance and corporate development executive with experience at technology companies including Fair Isaac Corporation and Oracle. At Fair Isaac, he led more than $1.2 billion in acquisitions, helping the company grow approximately 400%. Greg has also served as a CFO and consultant to public companies and venture-backed businesses, with expertise spanning finance, M&A, strategy, and business development.

Expertise

Data Analysis Consulting

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