Data Science & Machine Learning Jobs

Recommend process improvements to enhance forecasting accuracy, data integrity, and operational efficiency. Strong analytical skills with advanced Excel proficiency (macros, pivot tables, scenario modeling). You also agree to maintain as confidential, to the fullest extent permitted by law, any info

DATA ANALYST: Anlyz data to prov actionable insights for decision-makng, utilizing SQL for build & query datasets. Create & autmt intractv rprts & dshbrds for intrnl prgrms u/Tableau, Data meter, & R for advncd data visulztn & anlys. Impl & mntn CI/CD pipelines to atomt app deplymnts.

Some level of Tableau Server Administration Reporting and data warehouse development Hands-on experience using Microsoft SQL Server Data cleansing and transformation for analytics Data encryption tools and standards Knowledge of the financial/banking industry Experience in working in environments wi

What we're seeking Bachelor’s degree in Engineering or Computer Science 6+ years of experience in Microsoft SQL Server 6+ years of experience in ETL tools like Microsoft SSIS 3 years software development experience on BI Platform like – SSRS, Power BI, TableaU Hands on experience using Microsoft

Define data dictionaries, metadata, and relationships to support data governance and consistency. Data Modeler or Data Architect. Work with data warehouse, ETL, and BI teams to ensure seamless integration of insurance data.

By joining Chubb as a Data Solutions Lead, you will work closely with B360 product owner and evaluate, analyze, and certify data, troubleshoot data issues, promote data quality, and assist in the delivery of key projects in support of Business needs and priorities and as part of our Global Smart Dat

Machine learning applied to growth problems: LTV prediction, churn modeling, attribution. You have at least 4+ years of full-time data science experience. As an early member of Cursor’s data team, this will be a hands-on role: partner with leadership to establish growth as a company priority, work

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Leads all data experiments tasked by

Experience running heavy workloads on a distributed computing cluster (especially EMR or Databricks), leveraging technologies like Spark to work with large datasets preferred. Communicate learnings from data and insights from models in compelling ways to influence product decisions. Possessing a kee

Familiarity with other data formats, such as JSON, XML, and unstructured-to-structured transformation is a plus Experience with at least one of the following: Python, SQL, Power Automate or other large data set software, demonstrating the ability to extract and transform data Demonstrated history of

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Leads all data experiments tasked by

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements;. At PwC, our people in dat

Collaborate with stakeholders to design intuitive UI/UX for data-driven decision-making. Integrate Cortex models with business logic and data pipelines to deliver scalable, real-time insights. Develop Python scripts for automation, data manipulation, and integration with Snowflake via.

Proficiency with analytic queries in SQL and relational databases (we primarily use Snowflake), with experience interfacing directly with databases from Python (we leverage SQLAlchemy Core heavily). Familiarity with panel datasets, especially ones with missing data and attrition. Implementing or aud

We’re interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. Build and scale multi-source data pipelines—source, merge, and transform data assets that power high-visibility client engagements. Experience in data engine

As a leader, you will inspire, lead, and grow a world-class team of data scientists and data science leaders. As a Data Science Manager at Meta, you will play a key role in shaping the future of experiences for billions of people and hundreds of millions of businesses worldwide. Experience in cross-

Technical Skills: Proficient in Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn, XGBoost); Experience with SQL and large-scale data processing; Proven track record deploying ML models to production. Education: PhD/MS in Machine Learning, Data Science, or closely related field. ML Develop

End-to-End Data Solution Development: Design, build, and deploy solutions across the data lifecycle—from data ingestion and pipelines to statistical modeling, experimentation, model evaluation, and insight generation. Expert-level coding in Python for data science (Pandas, NumPy, Scikit-learn) and

As we architect the next wave of data solutions in the AdTech and MarTech sectors, we're on the lookout for a Senior Data Engineer-a maestro in data architecture and pipeline design. Drive initiatives for new data collection while refining existing data sources. Optimize pipelines and data structure