Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Principal Data Scientist builds and deploys ML models to drive credit decisions and financial progress for customers, using PyData tools and production-grade pipelines.
Senior Data Scientist builds and deploys machine learning models to make lending decisions for a fintech company, using Python and PyData tools.
Kroll is hiring a Data Science Manager to lead and grow our data science function within the Enterprise Data Group. This role sits at the intersection of technical leadership and strategic delivery — you will shape how…
Senior Data Scientist designs and deploys ML models (traditional, deep learning, NLP, LLM/GenAI) on Azure/Databricks to solve fintech risk and compliance challenges.
Builds and deploys ML models (traditional, NLP, GenAI) for fintech/government clients, focusing on data pipelines, feature engineering, and model monitoring in Databricks/Azure.
Build and deploy AI-driven solutions like GenAI copilots and predictive models to solve banking challenges and deliver measurable business value.
Designs and implements AI-native security architecture for an AI-first enterprise platform, securing GenAI agents, models, and integrations while building ML-driven threat detection and autonomous security agents to analyze 22B+ monthly security events across 176K+ hosts and 266+ Kubernetes clusters.
Build and optimize Neo4j graph models to detect fraud rings and money laundering in real time for banking clients, using Python, GDS algorithms, and Bloom dashboards.
Lead AI/ML projects for generative AI and LLMs in Japanese, designing models, fine-tuning on domain text, and driving end-to-end delivery with business stakeholders.
Develops fraud detection models and analytics to identify transactional anomalies, analyze fraud patterns, and deploy mitigation strategies for a fintech company’s debit/banking payments. Uses Python/R, Spark, SQL, and cloud platforms to build predictive models and dashboards for risk management.
Design and implement AI models for aquaculture using computer vision and deep learning to analyze aquatic species traits from imaging data.
The Senior AI Engineer will design, develop, and deploy AI and machine learning solutions, including LLMs and RAG applications, for global clients. The role requires strong Python skills and experience managing the full ML lifecycle within a consulting environment.
This role involves designing and building data pipelines, APIs, and backend services using Python and AWS to support data-driven products and machine learning models. The engineer will work with complex datasets and manage cloud infrastructure to deliver actionable insights.
The Data Scientist will design and deploy fraud detection models and strategies to analyze transactional anomalies and mitigate fraud risks. The role involves using Python, R, SQL, and cloud-based data platforms to develop predictive variables and automate analytics processes.
This is a data science internship at DBS where the intern will assist senior data scientists in designing and testing machine learning, GenAI, and agentic AI solutions. The role involves data preparation, model development, and maintaining project documentation using tools like Python, SQL, and GCP.
The Senior Data Scientist will build and deploy commercial machine learning models, such as churn prediction and propensity modeling, to drive revenue and customer retention. The role involves end-to-end model lifecycle management using Python, SQL, and AWS within a hybrid work environment.
Build and deploy ML models and GenAI tools to turn retail data into actionable insights for suppliers and merchants using Python, GCP, and MLOps.
Lead the end-to-end data analytics lifecycle at an NBFC lender—building executive dashboards in Tableau/Power BI, writing advanced SQL across cloud warehouses (Snowflake/BigQuery/Redshift), and performing statistical analysis with Python/R to drive decisions across Risk, Finance, and Operations.
The Data Scientist Consultant will analyze complex, unstructured data to build and deploy machine learning models and AI-driven solutions for clients. The role focuses on leveraging Python, SQL, and modern AI frameworks like LLMs and RAG patterns to create actionable business insights.
Staff Engineer leading an applied AI team to take models from prototype to production across restaurant operations, digital ordering, and supply chain using Python, ML frameworks (PyTorch/TensorFlow), LLMs, AWS SageMaker/Bedrock, and modern data platforms.
We couldn't check your fit for this role — add a CV to your profile to see it next time.