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Sports Analytics Machine Learning Jobs in Philadelphia, PA

Berkadia

Senior Engineer - Machine Learning

Ambler, PA · Hybrid

$100K - $138K/yr

As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting ... Bachelor's degree in Computer Science or another STEM field with heavy analytics focus preferred We ...

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Sports Analytics Machine Learning information

What is sports analytics machine learning?

Sports analytics machine learning is the application of data science and machine learning techniques to analyze sports data, such as player statistics, game outcomes, and biometric information. Professionals in this field develop models to identify patterns, predict player performance, optimize team strategies, and gain competitive advantages. This work involves collecting large datasets, cleaning and processing data, and using algorithms to extract actionable insights that can benefit teams, coaches, and athletes. Sports analytics with machine learning is increasingly used in professional sports to inform decisions about training, recruitment, and game tactics.

How do sports analytics machine learning professionals typically collaborate with coaches and athletes to impact game strategy?

Sports Analytics Machine Learning professionals often work closely with coaches and athletes by translating complex data insights into practical recommendations. They attend strategy meetings, present findings through visualizations, and help interpret trends that can influence training, player selection, and in-game tactics. Effective communication is key, as these professionals must bridge the gap between technical analyses and real-world sports applications. This collaborative environment not only enhances team performance but also provides opportunities to see the direct impact of your work on the field.

What are the key skills and qualifications needed to thrive as a sports analytics machine learning specialist, and why are they important?

To thrive as a Sports Analytics Machine Learning Specialist, you need a strong background in statistics, data analysis, programming (typically in Python or R), and an understanding of machine learning algorithms, often supported by a degree in data science, statistics, or a related field. Familiarity with data visualization tools, sports databases, and machine learning frameworks like TensorFlow or scikit-learn is essential, along with experience using SQL and data pipelines. Strong problem-solving, communication, and collaboration skills help translate complex data findings into actionable insights for coaches, players, and stakeholders. These skills are crucial for extracting meaningful patterns from vast sports datasets and driving performance improvements or strategic decisions within sports organizations.

What are popular job titles related to Sports Analytics Machine Learning jobs in Philadelphia, PA?

For Sports Analytics Machine Learning jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Sports Analytics Machine Learning jobs in Philadelphia, PA look for?

The top searched job categories for Sports Analytics Machine Learning jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Sports Analytics Machine Learning jobs?

Cities near Philadelphia, PA with the most Sports Analytics Machine Learning job openings:

Sports Analytics Machine Learning jobs near you
Infographic showing various Sports Analytics Machine Learning job openings in Philadelphia, PA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

College to Corporate IT Internship - Data Science (PA)

Vangard, Inc.

Malvern, PA

Full-time

Posted 16 days ago

Job description

Job Description

Launch your career in advanced analytics with Vanguard's College to Corporate (C2C) Internship Program. As a Data Scientist intern, you'll help apply advanced analytics, machine learning, and AI to solve business problems and support data-driven decision-making. This immersive internship combines real-world project work, mentorship, and structured development to help you strengthen your technical depth, business acumen, and leadership capability in a collaborative, purpose-driven environment.

In this internship you will:

  • Support advanced analytics work that helps teams identify patterns, predict outcomes, and improve decision-making at scale.

  • Prepare, transform, and analyze data to support machine learning, statistical modeling, and AI-driven solutions.

  • Contribute to model development, testing, validation, or experimentation efforts in partnership with data scientists and business stakeholders.

  • Help communicate analytical findings, implications, and recommendations in a way that supports business action.

  • Gain exposure to applied AI and advanced analytics work, such as automation, model operationalization, and insight generation.

  • Build foundational leadership skills by taking ownership of work, collaborating across teams, and contributing ideas in a fast-paced, learning-focused environment.

  • Build relationships with program managers, alumni, senior leaders, and peers across the program

  • Receive coaching and mentorship from your department manager and program leaders to support your development.

What it takes:

  • Enrolled in a master's degree or PhD program - or advanced graduate study - in Data Science, Analytics, Applied Mathematics, Statistics, Economics, Computer Science, or a related quantitative field.

  • Strong interest in advanced analytics, machine learning, AI, and using data to solve complex business problems.

  • Experience through coursework, research, internships, or projects using tools such as SQL, Python, statistical methods, machine learning libraries, or cloud-based analytics tools.

  • Demonstrated leadership skills and/or leadership aspirations.

  • Strong analytical, communication, interpersonal, and problem-solving skills.

  • Ability to work independently and as part of a collaborative, team-oriented environment.

  • Cumulative GPA of 3.2 or higher preferred.

Additional Information:

  • This program is a full-time, paid 10-week summer internship

  • Vanguard is not offering sponsorship for this position

  • The start date for this program will be May/June 2027

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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