The Data Science & AI (DSAI) organization is a key part of BAM’s continued growth. Year over year, the knowledge needed to leverage data plays an increasingly important role in the firm’s core business. The analytical expertise that the Data Science & AI organization provides the firm are part of BAM’s competitive advantage. The DSAI organization supports Investment Teams across all asset classes by providing research and tools powered by data science and AI to help deliver results and PnL.

As a Geospatial Data Scientist Intern, you will go through a hands-on 12-week program and solve complex, real-world problems. You will experience firsthand how data science and AI are used to enhance and support the investment process. Our internship program includes a two-week training block where you will learn how investing works at a hedge fund and get hands-on experience with our DSAI tools and environments before hitting the desk. It also offers mentorship and collaboration with senior members of the team in addition to the opportunity to expand your network with the greater intern cohort.

In this role, you will be responsible for extracting actionable insights from our many rich alternative datasets with a specific focus on geospatial analytics, including but not limited to imagery analysis, meteorological and hydrological modeling, crop yield forecasting, and spatial data science projects. You will be involved at every stage of this process, including hypothesis generation, data wrangling, building and testing appropriate statistical and machine learning models, and communicating your findings to senior managers.

Responsibilities:

·      Imagery Processing and Analysis: Acquire, process, and analyze imagery data from both publicly available satellite sources and commercial vendors with demonstrated familiarity with a range of imagery data types (optical, SAR, multispectral, hyperspectral, etc.) and associated metadata.

·      Generate Insights: Extract actionable investment insights through advanced image processing and modeling techniques such as object detection and change detection to extract actionable insights.

·      Weather Prediction & Simulation: Utilize information from land, sea, and upper atmosphere to predict or simulate weather conditions and study their causes. Use the latest forecast technology to predict severe weather events such as tornadoes, flooding, hurricanes, strong winds, and extreme temperatures.

·      Research Design: Develop proof of concepts (POC) in partnership with and with iterative inputs from sponsoring investment teams.

·      Present Results: Present results to both technical and non-technical audiences

·      Teamwork & Mindset: Self-driven and results oriented. Perpetually curious while staying exceptionally organized and collaborative in a fast-paced, ambiguous environment.

·      GIS Platforms: Experience and proficiency with ERDAS, ENVI ESRI, QGIS, or other imagery or GIS platforms. Comfortable working with geospatial data formats.

Qualifications:

·      PhD student graduating between December 2026 and May 2027 who is pursuing a degree in Earth Sciences, Geospatial Information Systems, Computer Science, Mathematics, Statistics, Data Science or another related quantitative field.

·      Exceptional analytical, data processing and programming skills (at a minimum, python, numpy, pandas, scikit-learn, matplotlib and SQL)

·      Exceptional understanding of statistical and machine learning concepts

·      Familiarity with ETL tools and managing code repositories (GitHub)

·      Familiarity with GIS Software (QGIS, ArcGIS)

·      Ability to clearly communicate complex and technical subject matters

·      Results driven mindset, ability to work in an ambiguous environment, and work collaboratively within a team environment

·      Experience with the following technologies is a plus: Vector Databases, OpenSearch, Apache Airflow, AWS, Spark, Databricks, Deep learning frameworks (e.g., Tensorflow, Keras and PyTorch)

·      Academic or industry experience in the following fields is a plus: natural science, spectral imaging, hydrology, meteorology, weather/flood modelling, computer vision, econometrics

Opportunities are available in our New York office. 

The Data Science & AI (DSAI) organization is a key part of BAM’s continued growth. Year over year, the knowledge needed to leverage data plays an increasingly important role in the firm’s core business. The analytical expertise that the Data Science & AI organization provides the firm are part of BAM’s competitive advantage. The DSAI organization supports Investment Teams across all asset classes by providing research and tools powered by data science and AI to help deliver results and PnL.

As a Data Science Intern, you will go through a hands-on 12-week program and solve complex, real-world problems. You will experience firsthand how data science is used to enhance and support the investment process. Our internship program includes a two-week training block where you will learn how investing works at a hedge fund and get hands-on experience with our data science tools and environments before hitting the desk. It also offers mentorship and collaboration with senior members of the team in addition to the opportunity to expand your network with the greater intern cohort.

Data Science Interns work on the Alternative Data Research team. In this role, you will be responsible for extracting actionable insights from our many rich alternative datasets. You will be involved at every stage of this process, including hypothesis generation, data wrangling, building and testing appropriate statistical and machine learning models, and communicating your findings to senior managers.

Qualifications:

·        Undergraduate or Master’s student graduating between December 2026 and May 2027 who is pursuing a degree Computer Science, Mathematics, Statistics, Data Science with a focus on Machine Learning and/or Generative AI techniques, or another related quantitative field.

·        Exceptional analytical, data processing and programming skills (at a minimum, python, numpy, pandas, scikit-learn, matplotlib and SQL)

·        Exceptional understanding of statistical and machine learning concepts

·        Familiarity with ETL tools and managing code repositories (GitHub)

·        Ability to clearly communicate complex and technical subject matters

·        Results driven mindset, ability to work in an ambiguous environment, and work collaboratively within a team environment

·        Experience with the following technologies is a plus: Apache Airflow, AWS, Spark, Databricks, Deep learning frameworks (e.g., Tensorflow, Keras and PyTorch)

·        Prior experience working with alternative datasets is a strong plus.

Opportunities are available in our New York office. 

The Data Science & AI (DSAI) organization is a key part of BAM’s continued growth. Year over year, the knowledge needed to leverage data plays an increasingly important role in the firm’s core business. The analytical expertise that the Data Science & AI organization provides the firm are part of BAM’s competitive advantage. The DSAI organization supports Investment Teams across all asset classes by providing research and tools powered by data science and AI to help deliver results and PnL.

As an Applied AI Intern, you will go through a hands-on 12-week program and solve complex, real-world problems. You will experience firsthand how AI is used to enhance and support the investment process. Our internship program includes a two-week training block where you will learn how investing works at a hedge fund and get hands-on experience with our AI tools and environments before hitting the desk. It also offers mentorship and collaboration with senior members of the team in addition to the opportunity to expand your network with the greater intern cohort.

Applied AI interns will be responsible for researching and implementing generative AI solutions to empower our investment teams to work more efficiently and effectively. You’ll be involved in every phase of the analytics process, from research and idea generation to the hands-on development of systems to store, retrieve and derive insights from textual data. As part of the Applied AI team, you’ll get to see first-hand how AI can be used to enhance and support the investment process.

Qualifications:

·        Master’s or PhD student graduating between December 2026 and May 2027 who is pursuing a degree Computer Science, Mathematics, Statistics, Data Science with a focus on Machine Learning and/or Generative AI techniques, or another related quantitative field.

·        Exceptional analytical, data processing and programming skills (at a minimum, python, numpy, pandas, scikit-learn, matplotlib and SQL)

·        Exceptional understanding of statistical and machine learning concepts

·        Familiarity with ETL tools and managing code repositories (GitHub)

·        Experience training and fine-tuning large language and embedding models, and using these to build applications (e.g. using LangChain)

·        Ability to clearly communicate complex and technical subject matters

·        Results driven mindset, ability to work in an ambiguous environment, and work collaboratively within a team environment

·        Experience with the following technologies is a plus: Vector Databases, OpenSearch, Apache Airflow, AWS, Spark, Databricks, Deep learning frameworks (e.g., Tensorflow, Keras and PyTorch)

·        AI research experience is a plus

Opportunities are available in our New York and Austin Offices.

As an Applied AI Intern, you will go through a hands-on 12-week program and solve complex, real-world problems. You will experience firsthand how AI is used to enhance and support the investment process. Our internship program includes a two-week training block where you will learn how investing works at a hedge fund and get hands-on experience with our AI tools and environments before hitting the desk. It also offers mentorship and collaboration with senior members of the team in addition to the opportunity to expand your network with the greater intern cohort.

Applied AI interns will be responsible for researching and implementing generative AI solutions to empower our investment teams to work more efficiently and effectively. You’ll be involved in every phase of the analytics process, from research and idea generation to the hands-on development of systems to store, retrieve and derive insights from textual data. As part of the Applied AI team, you’ll get to see first-hand how AI can be used to enhance and support the investment process.

Qualifications:

·        Master’s or PhD student graduating between December 2026 and May 2027 who is pursuing a degree Computer Science, Mathematics, Statistics, Data Science with a focus on Machine Learning and/or Generative AI techniques, or another related quantitative field.

·        Exceptional analytical, data processing and programming skills (at a minimum, python, numpy, pandas, scikit-learn, matplotlib and SQL)

·        Exceptional understanding of statistical and machine learning concepts

·        Familiarity with ETL tools and managing code repositories (GitHub)

·        Experience training and fine-tuning large language and embedding models, and using these to build applications (e.g. using LangChain)

·        Ability to clearly communicate complex and technical subject matters

·        Results driven mindset, ability to work in an ambiguous environment, and work collaboratively within a team environment

·        Experience with the following technologies is a plus: Vector Databases, OpenSearch, Apache Airflow, AWS, Spark, Databricks, Deep learning frameworks (e.g., Tensorflow, Keras and PyTorch)

·        AI research experience is a plus

Opportunities are available in our New York and Austin Offices. 

Underscore VC Venture Fellow Program

About Us

Program Snapshot

Description

Career Area:

Students and Graduates

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

Big machines mean big technology. Are you looking for your next big challenge?

Here at Caterpillar, we believe in The Power of Everyone. Our competitive advantage as a Fortune 100 leader begins with our employees who remain passionate, innovative, and diverse. Our most valuable work comes from the inclusive environment we’ve fostered to celebrate people of all backgrounds, ensuring everyone feels seen, heard, and valued. United under our Values in Action, our dedicated teams at Caterpillar do the work to build a better world.

What does a Digital & Analytics Internship offer?

Cat Digital is leading our industry with the utilization of data, analytics, innovation, digital channels and techniques to drive profit, create more efficient revenue growth, unlock new revenue streams, and provide more durable competitive advantages for the business through unexpectedly great experiences for our customers.
 

You’ll join a team with diverse project responsibilities and have valuable networking opportunities with all levels of Caterpillar employees. The internship is a 40-hour-per-week assignment lasting 12 weeks.
 

You can focus on building technical abilities in roles including (but not limited to):
 

Applications Engineering – Interns will be emersed in designing and rapidly developing consistent customer-centric, premium digital experiences. This includes product development, mobile and service applications, eCommerce and digital marketing, etc.

Digital Platform - Interns will work to help simplify enterprise digital infrastructure, accelerate application development, ensuring greater data availability, quality and security. Teams include but are not limited to digital data and artificial intelligence, telematics gateway and datahub, DevOps and Cybersecurity.

Data Analytics - Interns will apply analytics techniques on a very large set of diverse data from IoT connected assets, anomaly detection, business analytics, data visualization, and business marketing analytics. The Data Analytics interns contribute to the analytics project teams tasked with solving problems of medium to high complexity working in an analytics approach, related digital technology, or business domain.

Digital Business Analyst – Interns work with internal and external customers by creating, analyzing and validating business requirements, translating them into detailed functional requirements and user stories, and defining acceptance criteria and test cases.

Dealer & Customer Support – Interns will help drive deployment and support of Caterpillar’s key digital products and maturing data management processes.

Digital Connectivity – Interns will help develop, certify and deliver high quality telematics solutions to enhance customer insights.

Program Qualifications – Skills & Experience

​

Top Candidates will also have:

• Demonstrated leadership experience
• Previous technical internship, co-op, or research/relevant experience
• Participation in school clubs or student organizations
• Demonstrated experience with several of the following: Python, Java, SQL, Snowflake, AWS/Azure, Tableau, Power BI, Google Analytics, Machine Learning, Deep Learning, Salesforce, React, JavaScript, Node.js, HTML, UI Design, UX Research, writing API’s for deployment, etc.
• Relevant coursework and/or projects
• Strong analytical and problem-solving skills
• Ability to demonstrate strong communication skills, initiative, and intellectual curiosity
• Able to work independently or as a collaborative team member
• Ability to learn and comply with company policies and procedures
• Comfortable working in a dynamic environment where digital is still evolving as a core offering
• Passion for technology and an eagerness to contribute to a team-orientated environment
• Ability to clearly communicate technical ideas, regardless of the technical capacity of the audience

Compensation and Benefits:
 

At Caterpillar, our internship pay rates are standardized for Digital and Analytics roles and we take into account the number of completed semester credit hours.

Besides exciting work, Corporate Interns will experience:

• Comprehensive internship orientation
• Tours of state-of-the-art manufacturing and research facilities
• Product Demonstration
• Mentorship Programs
• Various social events
• Networking with leadership
• Business skill building
• Career discussion with leaders and experts
   

If you are interested in applying for this position, please attach a copy of your resume and an unofficial copy of your transcripts to your application.

Summary Pay Range:

$25.00 - $43.00

Intern Hour Rate:

An intern's hourly rate is based on the major/degree being pursued and the number of completed academic hours achieved before the start of the internship.

Intern Benefits:

The total rewards package, beyond base salary, may include if eligible:

• Accrued Paid Time Off (PTO)
• Paid Holidays
• Paid Volunteer Day
• Housing Stipend
• Relocation Assistance
• Medical coverage
• Voluntary benefits

Relocation is available for this position.

Visa Sponsorship is not available for this position. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at www.caterpillar.com/careers.

Posting Dates:

September 3, 2025 - September 20, 2025

Any offer of employment is conditioned upon the successful completion of a drug screen.

Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.

Balyasny Asset Management L.P. (BAM) founded in 2001, is a global institutional investment firm. We strive to deliver consistent, uncorrelated, absolute returns in all market environments by fostering a culture of research, innovation, and collaboration. BAM exists at the intersection of finance and technology, combining the deep industry knowledge of leading portfolio managers and financial analysts with software engineers and quantitative researchers. We leverage the collective expertise of our teams to seek out new investment opportunities, analyze market conditions, minimize risk, and provide superior service to our investment partners.

With 2,000+ employees in 17 offices around the world, we embrace a culture that welcomes the free flow of ideas, promotes career development, and supports the health and well-being of our people through world-class benefits. At BAM, we are our talent. We are a growing firm that offers a multitude of professional opportunities. Through BAM’s selective hiring process, we target the best and brightest in the business and strive to create an environment which attracts and retains top talent. Maintaining a culture where people are energized to come to work is paramount to our success. Our team is motivated to perform each and every day.

The Data Science & AI (DSAI) organization is a key part of BAM’s continued growth. Year over year, the knowledge needed to leverage data plays an increasingly important role in the firm’s core business. The analytical expertise that the Data Science & AI organization provides the firm are part of BAM’s competitive advantage. The DSAI organization supports Investment Teams across all asset classes by providing research and tools powered by data science and AI to help deliver results and PnL. 

As a Data Science & AI Intern, you will go through a hands-on 12-week program and solve complex, real-world problems. You will experience firsthand how data science and AI are used to enhance and support the investment process. Our internship program includes a two-week training block where you will learn how investing works at a hedge fund and get hands-on experience with our DSAI tools and environments before hitting the desk. It also offers mentorship and collaboration with senior members of the team in addition to the opportunity to expand your network with the greater intern cohort.

Single Application, Dual Consideration:

By applying to the Data Science & AI Internship, you will automatically be considered for both the Data Science and Applied AI Research tracks within the DSAI organization. Our interview process is designed to assess your skills and interests across both areas, ensuring you are matched to the team and projects where you can have the greatest impact. You do not need to submit separate applications for each track.

·        Data Science: Data Science Interns work on the Geospatial + Alternative Data team. In this role, you will be responsible for extracting actionable insights from our many rich alternative datasets. You will be involved at every stage of this process, including hypothesis generation, data wrangling, building and testing appropriate statistical and machine learning models, and communicating your findings to senior managers.

·        Applied AI: Applied AI Research interns will be responsible for researching and implementing generative AI solutions to empower our investment teams to work more efficiently and effectively. You’ll be involved in every phase of the analytics process, from research and idea generation to the hands-on development of systems to store, retrieve and derive insights from textual data. As part of the Applied AI team, you’ll get to see first-hand how AI can be used to enhance and support the investment process. 

Qualifications:

·        Master’s or PhD student graduating between December 2026 and May 2027 who is pursuing a degree Computer Science, Mathematics, Statistics, Data Science with a focus on Machine Learning and/or Generative AI techniques, or another related quantitative field. 

·        Exceptional analytical, data processing and programming skills (at a minimum, python, numpy, pandas, scikit-learn, matplotlib and SQL)

·        Exceptional understanding of statistical and machine learning concepts 

·        Familiarity with ETL tools and managing code repositories (GitHub) 

·        Experience training and fine-tuning large language and embedding models, and using these to build applications (e.g. using LangChain)

·        Ability to clearly communicate complex and technical subject matters

·        Results driven mindset, ability to work in an ambiguous environment, and work collaboratively within a team environment

·        Experience with the following technologies is a plus: Vector Databases, OpenSearch, Apache Airflow, AWS, Spark, Databricks, Deep learning frameworks (e.g., Tensorflow, Keras and PyTorch)

·        Academic or industry experience in the following fields is a plus for our Geospatial + Alt Data teams: natural science, spectral imaging, hydrology, meteorology, weather/flood modelling, computer vision, econometrics 

Opportunities are available in our New York and Austin Offices.

Balyasny Asset Management L.P. (BAM) founded in 2001, is a global institutional investment firm. We strive to deliver consistent, uncorrelated, absolute returns in all market environments by fostering a culture of research, innovation, and collaboration. BAM exists at the intersection of finance and technology, combining the deep industry knowledge of leading portfolio managers and financial analysts with software engineers and quantitative researchers. We leverage the collective expertise of our teams to seek out new investment opportunities, analyze market conditions, minimize risk, and provide superior service to our investment partners.

With 2,000+ employees in 17 offices around the world, we embrace a culture that welcomes the free flow of ideas, promotes career development, and supports the health and well-being of our people through world-class benefits. At BAM, we are our talent. We are a growing firm that offers a multitude of professional opportunities. Through BAM’s selective hiring process, we target the best and brightest in the business and strive to create an environment which attracts and retains top talent. Maintaining a culture where people are energized to come to work is paramount to our success. Our team is motivated to perform each and every day.

The Data Science & AI (DSAI) organization is a key part of BAM’s continued growth. Year over year, the knowledge needed to leverage data plays an increasingly important role in the firm’s core business. The analytical expertise that the Data Science & AI organization provides the firm is part of BAM’s competitive advantage. The DSAI organization supports Investment Teams across all asset classes by providing research and tools powered by data science and AI to help deliver results and PnL. 

Overview

We are seeking a highly skilled Data Engineer Summer Associate to join the Data Science & AI Academy at BAM in summer 2026. In this role, you will help to design, develop, and maintain our data infrastructure. You will be responsible for creating data systems and pipelines that enable effective management, analytics, and reporting for large, complex datasets. In doing so, you will gain a solid understanding of enterprise development and exposure to a wide range of cloud and enterprise technologies.

Responsibilities

·        Develop and deploy data pipelines and workflows in the cloud

·        Create data models and infrastructure for a wide variety of market and alternative datasets

·        Design and build services and plugins to enhance our data platform

·        Participate in data architecture discussions

·        Maintain alerting systems to ensure smooth day-to-day operations for hundreds of datasets

·        Author tests to validate data quality and the stability of the platform

·        Help document and maintain internal processes and data management policies

Qualifications & Requirements

Pursuing a bachelor’s or master’s degree in data science, computer science, engineering, or a related quantitative field with a graduation date of December 2026 or Spring 2027.

·        Outstanding programming skills: SQL and Python experience is required

·        Experience with data architectures, data modelling, and database design principles

·        Experience deploying data-driven application to production

·        Experience working in and with containers

·        Familiarity with Kubernetes

·        Familiarity with ETL tools and data ingestion techniques

·        Strong analytical and problem-solving skills

·        Excellent communication skills

·        Ability to work independently and collaborate with cross-functional teams

·        Working knowledge of various relational and NoSQL databases is a plus

·        Bonus points for experience with AWS or other cloud-based services

Opportunities are available in our Austin Office. 

Description: As the Go-To-Market Lead, you will be responsible for driving the commercial success of Skyline Nav AI’s cutting-edge visual navigation solutions. Your focus will be on generating and closing new business opportunities, spearheading product marketing initiatives, and cultivating long-term customer relationships. 

This is a high-impact role requiring a strategic mindset, a passion for innovation, and the ability to execute sales and marketing strategies in a fast-paced, technology-driven environment. You'll represent the company in meetings, at conferences, and during client engagements, requiring significant travel.

This role is ideal for candidates with 1 to 2 years of industry experience (including internships).

Responsibilities:

1. Lead outbound sales efforts and maintain a robust sales pipeline to identify and close new business opportunities.

2. Develop and execute go-to-market strategies to effectively position Skyline Nav AI’s solutions in the commercial, defense, and space sectors.

3. Build and nurture customer relationships, acting as the primary point of contact for high-value clients.

4. Collaborate with product and engineering teams to refine marketing messages and ensure successful product launches.

5. Identify revenue-generating opportunities and drive profitable growth through a combination of market analysis and customer feedback.

6. Travel to customer sites and industry events (up to 50% of the time) to promote products and close deals.

Requirements:

1. Proven experience in a go-to-market, business development, or product marketing role, preferably in technology or AI-driven industries.

2. Strong track record of generating leads, closing deals, and achieving revenue targets.

3. Excellent communication and presentation skills, with the ability to clearly articulate complex technical solutions to diverse stakeholders.

4. Ability to travel extensively to meet with clients and represent the company at events (up to 50% of the time).

5. Self-motivated and able to work in a fast-paced, dynamic startup environment.

Preferred:

1. Experience in positioning, navigation, or related technologies such as GPS, AI, or computer vision.

2. Familiarity with government, defense, or aerospace sectors.

3. Previous experience with API-based or SDK-based products.

We don't use automated chatbots to review applicants. Every applicant is reviewed by our leadership team. We typically get back to candidates within a few days of applying. 

If you are passionate about visual navigation and want to make an impact in this exciting and rapidly growing industry, we would love to hear from you. We offer competitive compensation packages, remote work and opportunities for growth within our company.

If you require any special accommodations to participate in this application process, please do not hesitate to email us at careers@skylinenav.com so we can assist you.