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Mid-to-senior Data Scientist covering the full ML/AI lifecycle—traditional ML, LLMs, RAG, and agentic AI workflows—deployed on AWS with MLOps practices, for a US insurance-focused company's Belfast hub.
Senior Data Scientist owning the full ML production lifecycle—scaling deep learning models from R&D to reliable production systems, building data/feature pipelines, and establishing MLOps standards. Core stack includes Python/Go/Java, GCP (Vertex AI, BigQuery), Docker, Kubernetes, and MLflow/Kubeflow.
The Data Scientist I at Unum Group contributes to the development of employee benefits and service solutions. The role focuses on data-driven insights to support the company's mission of helping clients and their employees thrive.
Build ML pipelines, time series forecasting, generative AI solutions, and predictive models while performing exploratory data analysis and creating visualizations to support Sales Operations.
Evaluate AI-generated data science solutions and ML outputs for accuracy and reasoning quality on a part-time hourly contract, using Python, SQL, and statistical modeling expertise.
Evaluate AI-generated data science solutions, statistical analyses, and machine learning outputs for accuracy and technical soundness, providing structured expert feedback to improve next-generation AI systems using Python, SQL, and ML frameworks.
Builds and maintains data pipelines, ML models, and backend services for a large-scale platform, focusing on data ingestion, processing, and production-ready analytics. Leads data science initiatives with a focus on IoT/industrial data and GenAI infrastructure.
Data Scientist on a 1-year contract designing data pipelines, ML models, and analytics layers for a large-scale data platform on AWS/Databricks, with IoT/sensor data and optional GenAI preparation.
Revenue Data Scientist at Pan Pacific Hotels Group building BI dashboards (Power BI/Tableau), demand forecasting, and pricing optimization models to support hotel revenue management and sales decisions.
Leads ads fraud detection and enforcement at Reddit, designing scalable pipelines, models, and rules to identify fraud patterns, measure impact, and collaborate cross-functionally to improve platform integrity.
Founding Data Scientist owning the full data science lifecycle, from defining modelling approaches to building predictive models for a service-based business establishing its in-house capability.
Data Scientist at CMHC modeling complex analytics problems with advanced statistical, ML, and NLP techniques to support housing system decision-making, using Python/R, SQL, and big data technologies like Spark and Hadoop.
Staff Data Scientist at Course Hero building forecasting and simulation models for SEO—predicting crawl, indexation, search rankings, and traffic using Python and SQL on a 100M+ page site.
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring…
Position: Senior Data Scientist Location: Hybrid 3-5 days in Downtown Toronto Salary: $120K-$150K Job Type: Permanent Posting Type: Open vacancy We are seeking a Senior Data Scientist to join our client to leverage…
Data Scientist focused on data strategy, forecasting (Holt-Winters), predictive modelling, and Power BI dashboarding using a modern data stack with DataBricks and Snowflake.
Data Scientist developing, deploying, and monitoring machine learning models on-premises and in the cloud (AWS/Databricks) using Python and SQL at a Philippine telecom company.
Lead the data science function at a Philippine bank, defining strategy, managing a team, and developing ML/AI and advanced analytics solutions using Python/R, SQL, and cloud platforms.
Within SDG&E, championing our people is a key part of our values and our strategic mission. Thank you for continuing your journey with SDG&E! *This is a posting for a Temporary Job Change (TJC). Expected length…
The Data Scientist will analyze large geospatial datasets to support store development and mapping initiatives using Python, SQL, and ArcGIS. The role involves building machine learning models, creating data visualizations, and collaborating with cross-functional teams to provide actionable business insights.
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