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Internship Mathematical Analyst Jobs (NOW HIRING)

RISK MANAGEMENT ANALYST

Beverly Hills, CA · On-site

$38.46 - $43.27/hr

... broader internship teams Qualifications: * Bachelor's degree in Finance, Economics, Mathematics ... Strong analytical skills and attention to detail * Proficient in Microsoft Excel; exposure to ...

... internships, summer jobs, etc.). Basic Qualifications - Bachelor's degree with a GPA of 3.5 or ... or Mathematics Required Qualifications Highly motivated individuals who - Have a record of ...

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Internship Mathematical Analyst information

What is the difference between Internship Mathematical Analyst vs Data Analyst?

AspectInternship Mathematical AnalystData Analyst
Required CredentialsTypically pursuing or recent graduate in mathematics, statistics, or related fieldOften requires degree in statistics, data science, or related field
Work EnvironmentInternship setting, often in finance, tech, or consulting firmsFull-time or part-time roles in various industries including finance, healthcare, marketing
Employer & Industry UsageUsed by companies seeking entry-level analytical talent for project supportCommon in industries requiring data interpretation and reporting

While both roles involve data handling and analysis, an Internship Mathematical Analyst is typically an entry-level internship focused on mathematical modeling and research, whereas a Data Analyst is a more established role emphasizing data interpretation, reporting, and business insights. The internship provides foundational experience, often leading to full-time data roles.

What types of projects can an Internship Mathematical Analyst expect to work on, and how do they typically contribute to the team?

As an Internship Mathematical Analyst, you can expect to participate in projects involving data analysis, statistical modeling, or optimization problems, often supporting ongoing research or business initiatives. Interns usually collaborate closely with experienced analysts and cross-functional teams to clean data, build mathematical models, and interpret results. A significant part of the role involves presenting findings to both technical and non-technical stakeholders, which helps build valuable communication skills. This exposure provides insight into real-world applications of mathematical concepts and offers opportunities to learn from professionals in the field.

What are the key skills and qualifications needed to thrive as an Internship Mathematical Analyst, and why are they important?

To thrive as an Internship Mathematical Analyst, you need strong quantitative skills, proficiency in mathematical modeling, and a background in mathematics, statistics, or a related field. Familiarity with tools such as MATLAB, R, Python, and Excel is often required, as well as exposure to statistical analysis software. Analytical thinking, attention to detail, and effective communication are vital soft skills that help interns interpret data and present findings clearly. These abilities are crucial for accurately analyzing complex data sets and supporting decision-making processes within organizations.

What does an Internship Mathematical Analyst do?

An Internship Mathematical Analyst typically assists with data collection, analysis, and interpretation using mathematical and statistical methods. They support senior analysts in solving real-world problems by applying mathematical models and quantitative techniques. Interns may work on projects involving forecasting, optimization, or risk analysis, helping organizations make informed decisions. This role provides hands-on experience in data analysis, programming, and mathematical modeling, which are valuable skills for a future career in analytics or research.
What cities are hiring for Internship Mathematical Analyst jobs? Cities with the most Internship Mathematical Analyst job openings:
What are the most commonly searched types of Mathematical Analyst jobs? The most popular types of Mathematical Analyst jobs are:
What states have the most Internship Mathematical Analyst jobs? States with the most job openings for Internship Mathematical Analyst jobs include:
Internship - Research & Development

Internship - Research & Development

QuEra Computing, Inc.

Boston, MA

Other

Posted 18 days ago


Job description

Summary

The individual in this internship role will contribute to the advancement of neutral-atom based quantum computing technologies. You will be involved in the design, implementation, and characterization of neutral-atom quantum computing systems, and collaborate closely with a multidisciplinary team of physicists, engineers, and computer scientists to push the boundaries of quantum computing using neutral-atom platforms.

Responsibilities

  • Assist in the design and build state-of-the-art neutral atom quantum computers as directed by your mentor(s).
  • Collaborate with engineering teams to verify and validate modules and subsystems for neutral atom quantum computers.
  • Investigate sources of noise and decoherence and contribute to proposed mitigation strategies.
  • Assist in experimental setups related to neutral atom quantum computing, which may include working with optical components, lasers, and atom trapping systems.
  • Analyze experimental data using the Python scientific stack to provide insights and feedback for continuous improvement in our quantum computing applications.

Qualifications

  • Pursuing a degree in physics, computer science, mathematics, or a related field.
  • Strong physics background and experience in optics.
  • Programming skills in Python, including the Python scientific stack (PyTorch, NumPy, SciPy, Pandas) are plus but not required.
  • Excellent problem-solving and analytical skills.
  • Strong communication and teamwork skills.

On-site internship. There is no relocation offered for this role.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.