Predictive Analytics Services

Predictive Analytics Services –
Forecast Your Strategic Insights

Transform your data into actionable intelligence with Toptal’s Predictive Analytics Services. Utilize data-driven insights to forecast trends, optimize operations, and enhance decision-making processes.

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Clients Served

30,000+

Total Vetted Professionals

20,000+

Toptal Total Projects Delivered

85,000+

Years in Business

15+

TRUSTED BY LEADING BRANDS

Our Services

Toptal Predictive Analytics Services

Toptal’s Predictive Analytics Services empower organizations to make insightful decisions. Our solutions combine cutting-edge technologies with a wide range of predictive analytics methods, from model development to deployment, to optimize business strategies and predict decisive outcomes.

Forecasting

Predict future trends with precision, maximizing strategic planning and achieving unparalleled business foresight.

Marketing Campaign Optimization

Optimize marketing campaigns through predictive analytics to maximize ROI and customer engagement.

Fraud Detection and Prevention

Develop predictive models to detect and prevent fraudulent activities within your organization

Churn Prediction and Customer Retention

Predict customer churn and implement strategies to retain valuable customers.

Demand Forecasting

Forecast customer demand and enable retailers to optimize inventory levels for improved supply chain efficiency.

Predictive Analytics Training and Workshops

Upskill your team with hands-on training in predictive analytics tools and techniques for better decision-making.

Predictive Analytics Consulting

Get tailored strategies and solutions to leverage data effectively for customized and informed decisions.

MLOps

Streamline the machine learning lifecycle for efficient predictive modeling, from development to deployment and monitoring

Machine Learning Services

Harness machine learning with expert model development, data preprocessing, and strategic deployment.

Predictive Maintenance Optimization

Optimize maintenance, minimize downtime, and enhance equipment efficiency through predictive analytics.

Workforce Planning

Make data-driven decisions in human resources and workforce planning for organizational success.

Real-time Predictive Analytics Solutions

Get real-time predictive analytics solutions for instant insights and decision-making.

Discover the right predictive analytics solution for your needs

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PARTNERSHIP THAT WORKS

How We Deliver Predictive Analytics Services

Our predictive analytics team, with experience at leading companies, will work with you to develop and deploy tailored solutions that meet your business needs and unique industry demands, providing you with 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 project involves modeling a user journey or defining your brand identity.

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 100 manufacturers.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 100 manufacturers.

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Predictive Analytics Solutions That Deliver Value

Toptal delivers leading predictive 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 and Teams

End-to-End Delivery by Toptal

Comprehensive project delivery, tailored to your specific requirements.

CEO, Technology Services

Delivery Manager

Predictive Analytics Expert

Predictive Analytics ML Engineer

Data Analytics Expert

Data Science Developer

Data Visualization Developer

Machine Learning 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

Teresa Scholz

Verified Expert in Engineering

13+ Years

of Experience

Predictive Analytics Expert

With a PhD in physics, a background in mathematics, and more than 13 years of experience modeling real-world data, Teresa has the skills to fulfill any data science role. Teresa enjoys working on the whole pipeline, from data cleaning and analytics to a final predictive model, and she especially enjoys using machine learning models.

Previously at

Dragos Dima

Verified Expert in Engineering

5+ Years

of Experience

Predictive Analytics ML Engineer

Dragos is a passionate machine learning engineer with over five years of experience in artificial intelligence. He is well-grounded in natural language processing, Python, and SQL. Dragos has an excellent knowledge of deep learning frameworks such as TensorFlow and PyTorch.

Previously at

Stephane Ruault

Verified Expert in Engineering

24+ Years

of Experience

Data Analytics Expert

Stephane possesses an impressive 24 years of international experience in data analytics and business process optimization. Throughout his career, he has excelled in various areas, including database design, business intelligence (BI), machine learning algorithms, big data, and predictive analytics. Stephane's expertise lies in developing solutions that automate processes, allowing clients to allocate their efforts toward value-added activities.

Previously at

Denis Volk

Verified Expert in Engineering

24+ Years

of Experience

Data Science Developer

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

Emilio Carnicero

Verified Expert in Engineering

18+ Years

of Experience

Data Visualization Developer

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

Abhimanyu Veer Aditya

Verified Expert in Engineering

19+ Years

of Experience

Machine Learning Engineer

Abhimanyu is a machine learning expert with more than 19 years of experience creating predictive solutions for business and scientific applications. He’s a cross-functional technology leader, experienced in building teams and working with C-level executives. Abhimanyu has a proven technical background in computer science and software engineering with expertise in high-performance computing, big data, algorithms, databases, and distributed systems.

Previously at

On-demand Talent & Teams

20,000+ vetted professionals, ready to deploy individually or in teams.

Predictive Analytics Project Manager

Predictive Analytics Developer

Big Data Analytics Architect

Data Scientist

Machine Learning Engineer

Data Scientist and Developer

Predictive Analytics Product Manager

Machine Learning Engineer

Back-end Engineer

Verified Expert in Project Management

16+ Years

of Experience

Predictive Analytics Project Manager

With extensive expertise in engineering and project management, particularly within Agile methodologies, Mihaela excels in driving digital projects from discovery to production. Her leadership promotes team collaboration and exceeds client expectations. Known for fostering innovation and improving processes, she thrives on challenges. Her mastery of Generative AI, enriched by courses like "Prompting for AI Operations" and "ChatGPT Advanced Data Analysis," places her at the industry forefront.

Previously at

Verified Expert in Engineering

23+ Years

of Experience

Predictive Analytics Developer

Alex has over 23 years of experience in software development and data science. He has worked for large companies building enterprise-scale software and on small agile teams and solo projects. Alex has undertaken data analysis, data visualization, and predictive modeling with a heavy emphasis on financial and time-series data over the past decade.

Previously at

Verified Expert in Engineering

20+ years

of Experience

Big Data Analytics Architect

Daphne is a highly motivated big data analytic architect and SQL/Tableau developer with strong business analytic solution delivery skills and 20 years of progressively responsible OLTP/OLAP database development/architecture experience. She is a frequent seminar speaker and workshop trainer in business intelligence and analytic solutions. Daphne is experienced collaborating with business users in data modeling and business analytic solutions.

Previously at

Verified Expert in Engineering

6+ years

of Experience

Data Scientist

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

14+ Years

of Experience

Machine Learning Engineer

Joao is an AI/ML engineer with more than 14 years of experience at Fortune 100 companies, like Procter & Gamble and Hearst, and startups in the healthcare, energy, and finance industries. Joao holds a master's degree in computer engineering from the University of Porto and has multiple certifications in ML and deep learning.

Previously at

Verified Expert in Engineering

17+ Years

of Experience

Data Scientist and Developer

Thomas has 17+ years of experience in risk modeling and causal inference and has managed over €1 million in research funds as a scientist. Since 2019, he has worked as an independent contractor for various global pharmaceutical companies and CROs. His goal is to improve data-driven decision making by adopting state-of-the-art analysis methods and delivering scientific scrutiny in a timely fashion.

Previously at

Verified Expert in Product Management

9+ Years

of Experience

Predictive Analytics Product Manager

Carson is a seasoned product manager with 9+ years of experience designing data-intensive solutions. He developed a broad range of products, from early warning systems to high-throughput data architectures and software-as-a-service cloud components. Carson is a strategic thinker, passionate about helping businesses scale through data-driven design and automation, who has made outstanding contributions to both Fortune 500 companies and hypergrowth tech unicorns.

Previously at

Verified Expert in Engineering

18+ Years

of Experience

Machine Learning Engineer

Simone is a machine learning scientist and engineer with experience in academia and enterprises, including Microsoft and Huawei. He likes to work at the intersection of deep machine learning, natural language processing, and information retrieval. Simone also loves to work on exploration analysis and building theoretically sound machine learning pipelines ready for production. He especially enjoys building web products.

Previously at

Verified Expert in Engineering

14+ Years

of Experience

Back-end Engineer

Oliver is a versatile data scientist and software engineer with more than a decade 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

Reach your full predictive analytics services potential

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Reach your full predictive analytics services potential

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 data visualization experts build state-of-the-art application for oil and gas leader.

Challenge: Precision Drilling wanted to develop cutting-edge data visualization software that could accelerate the analysis of drilling rig performance data and provide increased value to its customers.

Solution: Toptal assembled a team to help Precision Drilling realize its vision. This team developed Clarity, a state-of-the-art data visualization platform that delivers real-time insights.

Outcome: The platform serves as a central hub for real-time and historical rig fleet performance data, significantly boosting efficiency and enabling instant communication of results across the organization.

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

OUR THOUGHT LEADERSHIP

Explore Insights From the Predictive Analytics Field

Read the latest articles and resources to keep you current on emerging trends in predictive analytics, AI, data mining, statistical insights, machine learning and more.

Optimizing Retailer Revenue With Sales Forecasting AI

Retailers often face supply and demand issues that cause them to miss out on potential sales or tie up a lot of money in overstocked products. In this article, Toptal Data Scientist Ahmed Khaled explains how retailers can boost revenues and cut costs with sales forecasts backed by artificial intelligence.

Ahmed Khaled

Verified Expert in Engineering

Ahmed is a senior data scientist who solves clients’ problems using state-of-the-art, data-driven solutions. With expertise in NLP, Python, machine learning, and data visualization, he designs, implements, and deploys end-to-end data science solutions to optimize outcomes, automate processes, and enhance decision-making. He has worked with both small and large-scale businesses across multiple industries including healthcare and construction.

Expertise

E-commerce Development Artificial Intelligence

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