Remote Data Jobs • Machine Learning

This role involves collaborating to enhance Sift’s data science, ML Ops, and advanced analytics infrastructure, techniques, and practices. The Lead Data Scientist will improve and enhance Sift’s suite of predictive models and operations that work to solve complex healthcare payment problems, present findings to upper management, and mentor team members.

As a Data Scientist at the Experian Innovation Lab, you will help develop analytical solutions, contributing to product prototypes, and helping evaluate data assets. You will bring experience in predictive modeling, machine learning, and deep learning to this position. You will report into the VP of Data Science.

This hybrid leadership role will lead a small team of data scientists while also contributing directly to high-impact projects particularly in the areas of modeling, personalization, and data-informed product strategy. You’ll shape the vision of data science across the company, scale team capabilities, and ensure the delivery of measurable business outcomes.

As a Business Analyst & Data Annotator, you will play a crucial role in gathering and analyzing business requirements, acting as a bridge between stakeholder needs and technical teams. You will also handle the data annotation process, ensuring the production of high-quality, accurately labeled datasets necessary for training machine learning models. This role involves close collaboration with ML engineers, data scientists, and business teams to ensure that data aligns with project goals.

Evaluate, adapt, and integrate pretrained computer‑vision models—such as Vision Transformers and vector‑quantized encoders—into Enchant’s existing modalities. Locate and curate clinical imaging datasets (radiology, pathology, microscopy, etc.) and set clear benchmarks for model performance. Build reliable data pipelines for large image collections, including ingestion, preprocessing, augmentation, and storage.

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.

As a Senior Data Scientist specializing in Payments & Fraud, you will play a pivotal role in reducing revenue leakage, safeguarding platform integrity, and optimizing the user payment experience. You will leverage data science, experimentation, and machine learning to detect and prevent fraud and abuse and evaluate the effectiveness of risk mitigation strategies.

The data science team at Ocrolus builds high-quality, impactful analytics and machine-learning based products that empower lenders to make better credit, fraud, and operational risk decisions. Data scientists play a critical role in the full product development cycle and move fast to ideate, build, deploy, and maintain production quality models. If you are a data scientist looking to leverage your strong engineering abilities in building ML models end-to-end, then we want to talk to you!

Leverage Data Mining techniques to find key business insights; developing and improving Data Science models. Collaborate with Program Managers to explore new data product ideas or enhancements. Work with Machine Learning Engineering team to train, validate and deploy ML products. Become an expert in Autodesk data.

ELEKS Artificial Intelligence Office is looking for an ML Engineer in Poland, Croatia and Ukraine. The job involves developing a cloud-based platform for the biopharma industry that enables users to simulate and interact with digital twins of manufacturing processes. Responsibilities include collecting, transforming, and preprocessing raw data, building statistical and probabilistic models, and implementing the model in a form that can be easily used by engineers.