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The Data Scientist will design, develop, and deploy scalable machine learning and AI solutions, focusing on Generative AI, LLMs, and NLP models. The role involves end-to-end ownership of projects, from data analysis and feature engineering to production deployment and monitoring using Python and PySpark.
This internship program places students in teams to solve complex, real-world problems using data science techniques and Booz Allen's engagement models. Interns will work collaboratively on challenge projects, receive mentorship, and present their solutions to senior leadership.
Data Scientist intern on a competitive summer 2027 team project, using statistical programming and data analysis to solve complex customer problems in a startup-accelerator-style program.
Data Scientist detecting financial crime by analyzing customer/transaction data, building ML pipelines, and developing visualizations using Python, SQL, and Git in a Prague-based advisory team.
As a Data Scientist at enercity, you will develop machine learning and time series forecasting models for energy prices and volumes using Python and Azure. You will manage the end-to-end data pipeline, from data ingestion and transformation using Snowflake and dbt to deploying models and visualizing insights for trading and management stakeholders.
Develops data-driven solutions for solar power plant operations, analyzing large-scale time-series data to improve performance, troubleshoot issues, and support customer-facing reporting. Core tech: Python, SQL, PySpark, and cloud analytics platforms like Databricks.
Data Scientist at King (Microsoft) in Barcelona driving A/B tests, statistical modeling, and data exploration for mobile games using SQL, Python/R, and big data platforms like BigQuery.
Designs and deploys AI/ML algorithms for processing geophysical sensor data (seismic, acoustic, hydro-acoustic, infrasound) to support U.S. Air Force missions, focusing on deep learning architectures and signal detection.
This Data Scientist role supports a FinCEN program in Washington, DC, by applying machine learning and statistical modeling to large-scale financial datasets to detect financial crimes. The position requires an active Top Secret/SCI clearance and proficiency in Python, R, SQL, and AWS cloud-native technologies.
Founding Data Scientist owning the full ML lifecycle for a subscription-based service business, building churn and complaint propensity models from scratch and taking them to production using Python and SQL.
As a working student Data Scientist, you will support the team by performing statistical analyses, developing agentic workflows, and extending web-based software solutions using Python and AI tools. The role requires 10-20 hours per week and is based in Dresden.
Leads a data science team building advanced analytics, machine learning models, and data-driven solutions for an auto finance company, using Python, R, SAS, SQL, and statistical modeling techniques.
Builds predictive models and data products to drive customer lifetime value (CLV) by developing churn/retention models, segmentation strategies, and personalized CRM campaigns. Owns end-to-end ML workflows, including feature engineering, validation, deployment, and production monitoring in Databricks, while collaborating with CRM, Marketing, and Merchandising teams.
Builds, validates, and deploys clinical ML models using Quest’s lab data to improve healthcare outcomes. Focuses on end-to-end ML delivery, model governance, and integrating analytics into business products while collaborating with clinicians and product teams.
Data Scientist on the Fire TV team building ML models, statistical analyses, A/B experiments, and customer segmentation frameworks to drive engagement, lifecycle analytics, and ads monetization decisions.
Builds AI-driven data products and semantic models to improve process intelligence and governance at a large bank, using Python, SQL, and GenAI techniques.
Build and deploy predictive models and statistical analyses to detect tax fraud and non-compliance using Python/R, SQL, and Databricks for the IRS.
Senior Data Scientist builds forecasting and Marketing Mix Modelling tools in Python to improve marketing decisions and sales predictions for Square Enix’s game franchises.
Develops advanced AI/ML models (tree models, deep learning, reinforcement learning, Generative/Agentic AI) to optimize P&G’s billion-dollar operations, combining cloud-based data analysis with scalable production deployment.
Data Scientist at P&G designing and implementing scalable ML/AI algorithms—including Generative/Agentic AI, optimization, and deep learning—on massive cloud-hosted datasets using Python and mainstream ML libraries.
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