Design, develop, validate, and evolve analytical and predictive models for pattern detection, anomaly identification, and risk classification.
Operationalize AI solutions for automation of recurring analyses, detection of deviations, and evaluation of large volumes of structured and unstructured data.
Participate in the full model lifecycle from data exploration to deployment, monitoring, and evolution in production environments.
Design, develop, and maintain scalable data pipelines and infrastructure.
Collaborate with cross-functional teams to ensure data integrity and usability.
Implement data quality and governance practices within data pipelines.
We help large enterprises transform with AI and tech-integrated solutions. With 8,000 employees across 25+ countries, we collaborate to build solutions with real impact.
Lead the development of analytical, statistical, and machine learning solutions for client use cases.
Translate business questions into structured analytical approaches, modeling strategies, and measurable outputs.
Apply AI methods including LLM workflows to support classification, pattern detection, and decision support.
Valtech is an experience innovation company that partners with leading brands to unlock new value in the digital world. With a global, borderless framework and a culture that fosters creativity, diversity, and autonomy, we empower our people to thrive and grow.
Structure, integrate, and maintain scalable data solutions for credit origination, monitoring, and risk analysis.
Build and evolve the credit analytics layer including datamarts, indicators, and reusable components.
Implement data quality, governance, and observability controls while ensuring compliance with LGPD.
Jobgether is an AI-powered recruitment platform that connects candidates with job opportunities using an objective matching process. It operates with a small team, focusing on efficiency, fairness, and data privacy.
Design and maintain robust ETL/ELT pipelines using Azure and Databricks.
Collaborate with business and data science teams to operationalize AI/ML models.
Implement CI/CD practices, data governance, and quality controls.
The hiring company is a technology-driven organization focused on building scalable data ecosystems in a cloud-first environment. It fosters a collaborative culture with emphasis on innovation, continuous learning, and inclusive practices.
Develop statistical and predictive models for credit-risk indicators, including delinquency and credit losses.
Perform exploratory data analysis and model versioning, backtesting, and performance monitoring.
Collaborate with business and technology stakeholders to translate complex problems into analytical solutions.
The company operates at the intersection of data science, financial analytics, and credit risk management. It fosters a culture of continuous improvement, rigorous analysis, collaboration, and innovation.
Design, develop, and maintain scalable ETL/ELT pipelines in Azure environments.
Build and optimize Data Lake and Data Warehouse solutions to support analytics and business intelligence.
Implement data quality validation, monitoring, and governance to ensure reliable and trustworthy data.
CI&T helps large enterprises transform the potential of AI into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across more than 25 countries, they combine human expertise with AI to build scalable and innovative technology solutions.
Partner with the Business Unit Lead to identify gaps in decisioning performance and implement solutions.
Build production machine learning models to identify fraud in collaboration with other data scientists.
Communicate complex ideas to a variety of audiences, from Customer Success to Sales.
Signifyd helps merchants confidently grow their businesses by building trusted relationships with customers. Their advanced technology creates frictionless shopping experiences, and they are trusted by thousands of merchants across over 100 countries.
Own end-to-end delivery of data assets, ensuring secure, reliable, and timely availability of prioritized data for business use cases.
Lead data design, ingestion, and build processes while coordinating with stakeholders and ensuring compliance with governance standards.
Manage a technical build squad, document data transformations, and own data quality through monitoring and issue resolution.
CI&T helps large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience, they are 8,000 employees across 25 countries, collaborating to build solutions with real impact.
Develop, adjust, and evolve data pipelines using Databricks and PySpark.
Analyze processes migrated from legacy systems (SAS, Hive, Teradata) and make necessary adjustments.
Identify bottlenecks and implement performance improvements and optimizations in pipelines and large-scale data processing.
CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across 25+ countries, we accelerate innovation through expertise in agentic SDLC, application modernization, Data & AI, martech, and business strategy.
Lead design and implementation of data science initiatives from problem definition to production deployment.
Develop, evaluate, and optimize machine learning models on AWS, owning the full data science lifecycle.
Mentor data professionals and partner with stakeholders to drive measurable business value.
The company is a partner of Jobgether, providing data science and machine learning solutions for complex business challenges. It offers a collaborative remote environment with experienced professionals and strong autonomy.
Develop and maintain scalable, resilient data pipelines using PySpark and distributed processing frameworks.
Modernize legacy processes and design data solutions on AWS, building data products and complex transformations.
Support data quality and optimization initiatives, collaborating with stakeholders to translate requirements into technical solutions.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It focuses on efficiency and fairness in recruitment, promoting diversity and inclusion in the workplace.
Use AI tools and techniques to support data standardization processes.
Design and maintain efficient and scalable database resources.
Lead advanced data analysis using ETL techniques to extract valuable insights.
WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. WPP is a global creative transformation company with over 100,000 employees, fostering a culture of creativity and collaboration.
Lead the design and implementation of data science initiatives, defining methodologies and best practices.
Develop, evaluate, and optimize machine learning models to solve complex business problems.
Own the complete data science lifecycle from data exploration to deployment and monitoring.
Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end, working with international clients and building long-term partnerships through technical excellence.
Contributes to existing code repositories by extending and maintaining code according to established patterns and conventions.
Builds data pipelines that feed downstream applications, including AI agents, using Google BigQuery and SAP.
Communicates progress, blockers, and technical decisions clearly and consistently with the broader team.
CI&T helps large enterprises transform with AI and technology solutions. With 6,000+ employees across 25+ countries, they foster a collaborative culture focused on innovation and real business impact.
Partner with stakeholders to solve complex business challenges through data, transforming ambiguous questions into structured analytical approaches.
Design, define, and maintain business KPIs, ensuring metric consistency and data quality across teams and regions.
Analyze large datasets using SQL and Python, and build Power BI dashboards to support strategic decisions.
AB InBev is the leading global brewer and one of the world's top 5 consumer product companies, with over 500 beer brands. The Growth Group unifies B2B, DTC, Sales & Distribution, and Marketing teams, leveraging data to drive digital transformation and organic growth.
Build and maintain trusted product data assets using dbt, Snowflake, and modern analytics infrastructure.
Leverage AI-powered analytics tools to accelerate insight generation and automate repeatable analysis.
Partner closely with Product, Engineering, Design, and Customer Success to influence product strategy through data.
Vanta helps businesses earn and prove trust by enabling continuous security monitoring and compliance. With thousands of customers, Vanta has a kind and talented team focused on building the leading Trust Management Platform.
Collect and clean data from various sources, perform exploratory data analysis.
Develop and implement machine learning models in collaboration with senior data scientists.
Communicate findings through reports, dashboards, and visualizations to stakeholders.
Fulton Bank is a financial services company offering banking solutions. It promotes a culture of continuous learning, work-life integration, and inclusion, with a digitally enabled work environment.
Design advanced analytics and predictive models within Databricks using Python, SQL, and Spark to identify revenue leakage and recovery opportunities.
Develop interactive Databricks dashboards and visualizations for operational and executive visibility into revenue-cycle performance.
Build detection logic for missing charges, coding errors, denied claims, underpayments, and aged receivables, and create recoverability scoring models.
LMI is a digital solutions provider accelerating government impact with innovation and speed, serving defense, space, healthcare, and energy sectors. Headquartered in Tysons, Virginia, the company delivers commercial-grade platforms and mission-ready AI to federal agencies.
Manage the complete lifecycle of data products from ideation to deployment and optimization.
Define and prioritize data product roadmaps balancing business needs, technical feasibility, and stakeholder expectations.
Partner with cross-functional teams including Data Engineers, Data Scientists, and business stakeholders to deliver scalable solutions.
CI&T helps large enterprises harness AI to drive business impact, with 30 years of experience in technological transformation. The company is a global team of 8,000 professionals across 25 countries, fostering a collaborative and innovative culture.
Define and communicate the long-term data architecture vision, aligning with business strategy.
Lead migration of data pipelines to Microsoft Fabric, ensuring reliable data for business consumption.
Mentor team members and explain complex data concepts to diverse stakeholders.
CI&T helps large enterprises transform the potential of AI into real business impact. With 30 years of experience, they are 8,000 employees across more than 25 countries, collaborating to build solutions with real impact.