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• Understand complex business challenges and translate them into data science problems.
• Design and implement machine learning models, statistical tests, and optimization strategies.
• Deliver Proof-of-Concepts and production-ready models within Agile and cross-functional teams.

CI&T is a tech transformation specialist, uniting human expertise with AI to create scalable tech solutions. With over 8,000 employees around the world, they value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment.

• Lead the development of machine learning projects from requirements gathering to deployment.
• Design, implement, and maintain ML pipelines, including data ingestion, feature engineering, modeling, evaluation, and deployment.
• Conduct research and develop advanced analytical and optimization methods to enhance platform capabilities.

Jobgether is a company that is looking for a highly skilled and motivated Senior Data Scientist to join a dynamic, data-driven team.

• Design, build, and deploy machine learning models for personalization, automation, and insights.
• Manage the full ML lifecycle: data preprocessing, feature engineering, training, tuning, evaluation, deployment.
• Integrate ML outputs into user-facing products and backend systems.

BJAK is a leading digital insurance platform, helping millions of users access affordable and transparent financial protection.

We are seeking a highly skilled and motivated Senior Data Scientist to join a dynamic, data-driven team. Work on designing, building, and enhancing AI-powered analytics solutions that transform how organizations manage financial risk and optimize spend. Collaborate closely with product managers, engineers, and fellow data scientists to deliver machine learning models and analytical tools that have a direct impact on business outcomes.

Jobgether is a company that uses AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.

• Lead the full ML model lifecycle from feature engineering to ongoing improvement.
• Architect and implement scalable ranking and personalization models using ML frameworks.
• Collaborate with Product and Data Engineering to translate business needs into user impact.

Groupon is a marketplace where customers discover new experiences and services everyday and local businesses thrive.

• Apply state-of-the-art AI/ML techniques to develop cybersecurity solutions addressing complex real-world challenges.
• Collaborate with cross-functional teams to translate prototypes into production-ready systems.
• Contribute to research initiatives, keeping the team at the forefront of AI/ML and cybersecurity innovations.

This position is posted by Jobgether on behalf of a partner company.

The Senior Data Scientist will collaborate with cross-functional teams to design, develop, and deploy machine learning models. The role involves research, experimentation, and innovation to advance AI capabilities in financial and operational analytics. The position will also mentor junior team members and contribute to technical strategy, ensuring scalable, reliable, and explainable AI solutions.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

• Build, lead, and mentor a machine learning engineering team, taking a hands-on approach while assuming increasing management responsibilities as the team grows
• Design, develop, and deploy machine learning models to strengthen risk management and fraud detection capabilities
• Own technical direction within the risk and fraud domain, helping define strategy, architecture, and best practices

Jobgether is a company that uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

Lead AI and ML initiatives to design and implement production-grade machine learning systems and pipelines. Develop scalable infrastructure for model training, evaluation, and deployment, ensuring reliability and observability. Collaborate with cross-functional teams to drive innovation and efficiency.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

As a Data Scientist, you will leverage data to drive impactful solutions, working on the full data science lifecycle from data acquisition to model deployment. You will implement generative AI solutions and collaborate to translate business requirements into data-driven solutions. The role involves innovating with cutting-edge technologies and contributing to high-impact projects, while mentoring peers and promoting best practices in AI and analytics.

This position is posted by Jobgether on behalf of a partner company.

Lead the full data science lifecycle, from data acquisition and preparation to model development, deployment, and performance monitoring. Leverage advanced machine learning, deep learning, and generative AI techniques to solve challenging problems and deliver impactful solutions. Collaborate with cross-functional teams, including product managers, engineers, and analysts, to translate business needs into scalable, production-ready AI/ML solutions.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

• Design and deploy production-ready ML solutions, leveraging cutting-edge platforms.
• Conduct causal analysis to guide high-stakes business strategy.
• Integrate models into production systems and monitor their performance using advanced observability tools.

CSC Generation is the AI-native holding company re-engineering omni-channel retail by acquiring iconic brands and transforming them with their operating platform.

• Perform in-depth analysis of healthcare data to independently design, develop, and deliver clinical ML models.
• Build reliable and scalable production machine learning systems.
• Work on feature engineering, statistical analysis, developing novel ML techniques, understanding performance, and improving model run time.

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration.

Work on impactful AI and machine learning projects and contribute to solutions. Help build and support machine learning models and AI systems that power Experian's products and services. Participate in research and experimentation with new AI techniques and tools and machine learning models focusing on real-world applications.

Experian is a global data and technology company, powering opportunities for people and businesses around the world.

• Drive the development and implementation of cutting-edge machine learning algorithms.
• Design system and model architectures, conduct rigorous experimentation and model evaluations.
• Collaborate with product, engineering, and analytics teams to build AI functionalities.

At Atlassian, we're motivated by a common goal: to unleash the potential of every team.

• Analyze complex datasets and find insights from data.
• Create data models and ETL pipelines for robust and scalable Machine Learning systems.
• Work with distributed computing, big data frameworks, Kubernetes, and Docker.

Kinaxis powers the world’s supply chains to help preserve the planet’s resources and enrich the human experience with more than 40,000 users in over 100 countries.

• Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes.
• Develop advanced ML models and LLM-powered agents for critical use cases like patient recruitment, enrollment forecasting, and study feasibility.
• Leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy models at scale.

At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes.

Develop production data science applications in Python, end to end. Design and develop new AI services from scratch. Maintain and enhance current data science pipelines in complex high-load applications.

Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets.

• Contribute to designing, building, evaluating, shipping, and improving Sword’s products by hands-on AI/ML development.
• Develop and maintain data processing pipelines for getting the data required to build and evaluate models.
• Work alongside the Product, Data & Engineering Teams to define and implement AI/ML-powered features for internal and external users.

Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform, making world-class healthcare available anytime, anywhere.

• Build and maintain data pipelines to support machine learning and analytics workflows.
• Collect, clean, and transform large, complex datasets from engineering environments.
• Develop and train predictive models for yield, performance, and anomaly detection.

We're seeking a Data & AI Engineer at FortifyIQ. The company seems to be in technology, possibly related to silicon design based on the job description.