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Summer Data Science Physics Jobs in Houston, TX (NOW HIRING)

A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning ... Data Science Consultant Our Deloitte Customer team empowers organizations to build deeper ...

Required : • A Bachelor's in a quantitative field (engineering, mathematics, physics, machine ... data science department. This entails adeptness in tailoring messages effectively and choosing ...

An exciting chance to employ your data science expertise and creative problem-solving skills to ... Good analytical and programming skills with strong math or, statistics, engineering, physics ...

Data Scientist

Houston, TX · On-site

$52/hr

An exciting chance to employ your data science expertise and creative problem-solving skills to ... Good analytical and programming skills with strong math or, statistics, engineering, physics ...

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Summer Data Science Physics information

What are the key skills and qualifications needed to thrive as a Summer Data Science Physics intern, and why are they important?

To thrive as a Summer Data Science Physics intern, you need a solid background in physics, statistics, and programming, typically supported by coursework or a degree in physics, data science, or a related field. Familiarity with programming languages such as Python, data analysis libraries (e.g., NumPy, Pandas), and data visualization tools is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and present findings clearly. These skills are crucial for extracting meaningful insights from scientific data and contributing to research projects in a collaborative environment.

What types of projects or research tasks can I expect to work on in a Summer Data Science Physics role?

In a Summer Data Science Physics position, you'll likely engage in projects that involve analyzing large datasets from physics experiments or simulations. Common tasks include data cleaning, statistical analysis, building predictive models, and visualizing results to support ongoing research. You'll often collaborate with physicists and data scientists, contributing to the interpretation of experimental data or the development of computational tools. This role offers a fast-paced, collaborative environment where you'll gain hands-on experience with both physics concepts and practical data science techniques.

What is a Summer Data Science Physics job?

A Summer Data Science Physics job is a temporary, usually internship-based position where students or recent graduates apply data science techniques to solve problems in physics. These roles typically involve working with large datasets, coding in languages like Python, and using statistical or machine learning methods to analyze experimental or simulation data. The goal is to gain hands-on experience at the intersection of physics and data science, often contributing to research projects or industry applications. Such positions are common at universities, research labs, and tech companies during the summer months, providing valuable exposure to both fields.

What is the difference between Summer Data Science Physics vs Summer Data Science Engineering?

AspectSummer Data Science PhysicsSummer Data Science Engineering
Required CredentialsTypically requires physics or data science coursework, basic programming skillsRequires engineering fundamentals, programming, and data analysis skills
Work EnvironmentResearch labs, academic institutions, tech companiesManufacturing, product development, tech firms
Industry UsageResearch, academia, tech industryEngineering, manufacturing, software development
Common Search IntentComparing physics-focused data science roles with engineering data science rolesUnderstanding differences between physics and engineering data science internships

Summer Data Science Physics roles focus on applying data analysis within physics research or academic settings, often emphasizing theoretical understanding. In contrast, Summer Data Science Engineering positions are geared toward practical engineering applications, product development, and manufacturing. Both roles require programming skills and data analysis, but their industry focus and work environments differ significantly.

What cities near Houston, TX are hiring for Summer Data Science Physics jobs? Cities near Houston, TX with the most Summer Data Science Physics job openings:
Data Science Consultant

Data Science Consultant

Deloitte

Houston, TX

Other

Posted 24 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

60th of 138 rated financial services


Job description

Data Science Consultant

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce. 

Recruiting for this role ends on June 5, 2026

Work you'll do

Do you enjoy exploring datasets? Are you passionate about helping people make sense of terabytes of data? If so, Deloitte Digital's Data Science and Analytics practice is seeking creative minds and persistent problem solvers to build and support cutting-edge marketing data science solutions that help our clients deliver customer value at every touchpoint.

As a Consultant, you will be tasked with solving data problems end to end. This means: 

  • Ability to understand business goals and translate them into Machine Learning use cases and model design
  • Understanding and applying clustering/sampling techniques to design
  • Grow your understanding of the multi-channel marketing optimization problem space 
  • Performing exploratory data analysis to understand relationships, opportunities to influence outcomes and how to attribute cross channel outcomes 
  • Being able to quickly iterate over common feature transformation and model types in order to find the best predictive models
  • Being able to interpret the models that are being generated 
  • Developing proofs of concept to verify your ideas
  • Closing the loop to make sure that the proposed solution is performing as it should and is correctly understood by clients
  • Working closely with clients throughout

You'll join a team of passionate, talented data scientists who collaborate to design, build and maintain cutting-edge models that arm our clients with the ability to spot customer value and act upon it. If you're intellectually curious, hardworking and solution-oriented, you'll fit right into our fast-paced, collaborative environment. In addition to working with our data science team, you'll also work closely with our omni-channel analytics and data engineering teams to develop data pipelines and deliver on cross-functional engagements.

The team

Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth. 

Qualifications

Required:

  • A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates. 
  • At least 2+ years of industry experience outside of academia
  • Ability to travel 30%, on average, based on the work you do and the client and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship now or at any time in the future

Preferred:

  • A Master's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates.
  • Good problem decomposition skills and autonomy when faced with solving data problems 
  • Experience manipulating large marketing data sets and performing ETL
  • Excellent hands-on knowledge of modeling approaches such as Boosted Trees, Logistic regression, Classification Techniques, Unsupervised models, LLM, and experimental design
  • Experience with large data sets generated in the Ad Tech or Marketing technology spaces
  • Excellent verbal and written communication skills are required. Candidates must be proficient in conveying complex data insights in an accessible manner to a non-technical audience, including those outside the data science department. This entails adeptness in tailoring messages effectively and choosing appropriate visual aids to facilitate understanding.
  • Proficiency in high level scripting language, such as Python or R
  • Understanding of the strategic application of data science methodologies in driving valuable business outcomes for large enterprises
  • If you have code in the open domain (for example GitHub) or have written about AI/DS please share this with us 
  • Experience with Deep Learning architectures and/or Reinforcement Learning 

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $93,000 to $171,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#AMC_US

Qualifications:

Data Science Consultant

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce. 

Recruiting for this role ends on June 5, 2026

Work you'll do

Do you enjoy exploring datasets? Are you passionate about helping people make sense of terabytes of data? If so, Deloitte Digital's Data Science and Analytics practice is seeking creative minds and persistent problem solvers to build and support cutting-edge marketing data science solutions that help our clients deliver customer value at every touchpoint.

As a Consultant, you will be tasked with solving data problems end to end. This means: 

  • Ability to understand business goals and translate them into Machine Learning use cases and model design
  • Understanding and applying clustering/sampling techniques to design
  • Grow your understanding of the multi-channel marketing optimization problem space 
  • Performing exploratory data analysis to understand relationships, opportunities to influence outcomes and how to attribute cross channel outcomes 
  • Being able to quickly iterate over common feature transformation and model types in order to find the best predictive models
  • Being able to interpret the models that are being generated 
  • Developing proofs of concept to verify your ideas
  • Closing the loop to make sure that the proposed solution is performing as it should and is correctly understood by clients
  • Working closely with clients throughout

You'll join a team of passionate, talented data scientists who collaborate to design, build and maintain cutting-edge models that arm our clients with the ability to spot customer value and act upon it. If you're intellectually curious, hardworking and solution-oriented, you'll fit right into our fast-paced, collaborative environment. In addition to working with our data science team, you'll also work closely with our omni-channel analytics and data engineering teams to develop data pipelines and deliver on cross-functional engagements.

The team

Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth. 

Qualifications

Required:

  • A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates. 
  • At least 2+ years of industry experience outside of academia
  • Ability to travel 30%, on average, based on the work you do and the client and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship now or at any time in the future

Preferred:

  • A Master's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates.
  • Good problem decomposition skills and autonomy when faced with solving data problems 
  • Experience manipulating large marketing data sets and performing ETL
  • Excellent hands-on knowledge of modeling approaches such as Boosted Trees, Logistic regression, Classification Techniques, Unsupervised models, LLM, and experimental design
  • Experience with large data sets generated in the Ad Tech or Marketing technology spaces
  • Excellent verbal and written communication skills are required. Candidates must be proficient in conveying complex data insights in an accessible manner to a non-technical audience, including those outside the data science department. This entails adeptness in tailoring messages effectively and choosing appropriate visual aids to facilitate understanding.
  • Proficiency in high level scripting language, such as Python or R
  • Understanding of the strategic application of data science methodologies in driving valuable business outcomes for large enterprises
  • If you have code in the open domain (for example GitHub) or have written about AI/DS please share this with us 
  • Experience with Deep Learning architectures and/or Reinforcement Learning 

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $93,000 to $171,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#AMC_US

Education:Bachelor's DegreeEmployment Type:

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