You’ll play a key role in helping customers stay ahead of evolving fraud threats by designing and deploying data-driven solutions with real-world impact. You’ll work directly with clients to understand their unique fraud challenges, rapidly prototype proof-of-concept models, and build scalable, production-ready solutions using machine learning and graph analytics. This is a hands-on, high-impact role ideal for someone who thrives at the intersection of data science, client-facing problem solving, and real-time risk.
You will teach the Cohere model how to perform across a variety of different functions and logic, focusing on financial modelling and finance-based questions. This role involves labeling, ranking, auditing, and correcting text output to improve Large Language Model’s performance. As an AI Data Trainer, you will evaluate the model’s ability to respond to financial queries, write financial prompts, and improve machine-written and human-written financial outputs.
Transform data into strategic insight as a Senior Data Engineer at Platform.sh. Design and implement scalable data pipelines and models, directly supporting decision-making across product, marketing, finance, and customer success. Apply engineering rigor to turn complex, fragmented data into accessible, trusted assets. You will work in a globally distributed team of data and analytics engineers, constantly learning and evolving.
Looking for a Sr Manager of Data Analytics and Engineering to join the Data team. This person will manage a team of analytics engineers/data analysts, while working closely with product managers, and software engineers to support data product launches and data roadmaps. The ideal candidate will have data infrastructure and data architecture skills, a proven track record of leading and scaling data teams.
Transition legacy systems to a cloud-native, modern data stack leveraging tools such as Informatica, Airflow, Postgres and modern technologies like Snowflake, dbt , BigQuery , Looker, CI/CD, Git, Databricks, PowerBI , Datadog and Grafana. Build innovative, scalable, and reliable data products that support Kinaxis’ strategic goals. Partner with internal business stakeholders from different business units and cross-functional teams to design and deliver tailored data solutions.
Join our Elections Team and help build and scale innovative local election experiences and tools that empower voters throughout the 2025/2026 election cycle. Build and manage robust data pipelines that unify information from third-party civic data providers, scraped sources, and internal editorial overrides into a clean, authoritative dataset. Design and evolve the data models that support fast, accurate lookups of candidate, race, and ballot-level information based on geographic and jurisdictional context.
Shape our data infrastructure, develop frameworks, and establish architectural patterns that enhance our entire data engineering team's efficiency. Contribute to building and maintaining our data processing and storage pipelines/workflows while ensuring robust security, scalability, and innovation through AI integration. Take ownership of our data systems to make them world class.
You will improve Large Language Model’s performance for iterations to come, thus having a lasting impact on Cohere’s tech by labelling, ranking, auditing, and correcting text output. You will label and rank machine learning data, scrutinize and rectify any inaccuracies in language data, and complete reading and text-based assignments. Identify and suggest opportunities for improving data quality and model performance.
As a Data Analyst Intern on the Partnerships Team, you will create dashboards and reports, address internal data requests, and design dashboards to track key metrics, reporting to the Lead of Business Intelligence. You will also assist in setting up BI dashboards, new data sources, and automate data refresh, ensuring data accuracy with extreme attention to detail.
This full-time co-op position starting June 2025 will support the product team, working on new product features and having a meaningful impact on the company. The role involves tackling challenges, learning about new technologies, thinking of creative solutions, and sometimes blazing a new trail. This position is a perfect opportunity to learn and grow.