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Bsc Maths Physics Computer Science Jobs (NOW HIRING)

Rich Data Co

Senior Data Scientist

San Jose, CA · On-site

$150K - $175K/yr

Bachelor's degree in in Statistics, Mathematics, Physics, Computer Science, or other Quantitative related degree. * 5+ years of data science experience, ideally in credit risk or financial services.

AJ Tutoring

Physics Tutor

Mountain View, CA

$35 - $40/hr

Master an academic subject at the high school AP level (Pre-Calculus or Calculus, Physics, Computer Science, English, History, Biology, or Chemistry)Commit to a minimum of 15 tutoring hours per week ...

Newton Research

Data Scientist

Boston, MA

Master's or PhD in a quantitative field such as Mathematics, Physics, Computer Science, or a related discipline. * Strong foundation in data analysis, statistical modeling, and machine learning ...

Triumph

Quant Strategist

San Francisco, CA · On-site

$200K - $400K/yr

Bachelor's degree in a quantitative subject: math, physics, computer science, data science, or a related discipline. * True depth and mastery over any quantitative domain: probability, statistics ...

Triumph Arcade, Inc

Quant Strategist

San Francisco, CA · On-site

$200K - $400K/yr

Bachelor's degree in a quantitative subject: math, physics, computer science, data science, or a related discipline. * True depth and mastery over any quantitative domain: probability, statistics ...

Quanta Search

Jr. Quantitative Developer

Manhattan, NY · On-site

$73.20K - $95K/yr

... Math. Physics, Computer Science/Engineering, • Basic Proficiency in C++ including modern OOP for building scalable production applications • Proficiency in suitable data research & modeling ...

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How much do bsc maths physics computer science jobs pay per hour?

As of May 31, 2026, the average hourly pay for bsc maths physics computer science in the United States is $27.46, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $28.85 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a professional with a BSc in Maths, Physics, and Computer Science, and why are they important?

A professional with a BSc in Maths, Physics, and Computer Science should have strong analytical skills, quantitative reasoning, and a solid foundation in programming and scientific principles, typically gained through their degree. Familiarity with programming languages (such as Python, C++, or Java), mathematical modeling tools, and statistical software is highly beneficial. Critical thinking, problem-solving abilities, and effective communication are standout soft skills in this interdisciplinary field. These skills are essential for solving complex problems, working on innovative projects, and collaborating across diverse scientific and technical teams.

What types of projects or tasks can someone with a BSc in Maths, Physics, and Computer Science expect to work on in entry-level roles?

Graduates with a BSc in Maths, Physics, and Computer Science often find themselves working on data analysis, software development, or research support projects, depending on the industry. In technology firms, you might contribute to coding, debugging, or algorithm development, while roles in research or engineering may involve running simulations or analyzing experimental data. Collaboration with cross-functional teams—such as engineers, analysts, or developers—is common, and clear communication is key when translating technical findings into actionable insights. These roles offer a strong foundation for advancement into specialized or leadership positions as you gain experience and expertise.

What are BSc Maths Physics Computer Science graduates qualified to do?

Graduates with a BSc in Maths, Physics, and Computer Science are well-qualified for a wide range of careers in technology, research, education, and data analysis. Their interdisciplinary training provides strong analytical, problem-solving, and programming skills, making them suitable for roles such as software developer, data analyst, research assistant, and technical consultant. Many also pursue higher studies or research in one of the three fields, or work in industries like IT, finance, engineering, or academia. Their diverse education allows them to adapt to rapidly changing technological environments and complex problem domains.

What is the difference between Bsc Maths Physics Computer Science vs Data Analyst?

AspectBsc Maths Physics Computer ScienceData Analyst
Required CredentialsBachelor's degree in Maths, Physics, or Computer ScienceBachelor's degree in Statistics, Mathematics, or related field
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, healthcare sectors
Industry UsageResearch, software development, academiaData interpretation, reporting, decision-making

While Bsc Maths Physics Computer Science provides a strong foundation in analytical and technical skills, Data Analysts focus on interpreting data to inform business decisions. Both roles require quantitative skills, but Data Analysts emphasize data visualization and reporting, often using tools like Excel and SQL. Understanding these differences helps in choosing the right career path based on interests and skills.

More about Bsc Maths Physics Computer Science jobs
What job categories do people searching Bsc Maths Physics Computer Science jobs look for? The top searched job categories for Bsc Maths Physics Computer Science jobs are:
Bsc Maths Physics Computer Science jobs near you
Infographic showing various Bsc Maths Physics Computer Science job openings in the United States as of May 2026, with employment types broken down into 27% Full Time, and 73% Part Time. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $57,116 per year, or $27.5 per hour.

Senior Data Scientist

Rich Data Co

San Jose, CA • On-site

$150K - $175K/yr

Full-time

PTO

Posted 26 days ago

Job description

About RDC.AI
What started in 2016 with five people and two chairs has become a global force transforming how banks lend, grow, and protect their portfolios. RDC.AI helps business and commercial bankers know more, do more, and grow more by turning complex data into actionable intelligence. Our platform uniquely combines predictive and agentic AI to deliver transparent, explainable insights across the entire lending lifecycle from origination to monitoring. With built-in AI assistants and clear rationales for every recommendation, we empower banks across the globe to make confident decisions faster, launch innovative products, and generate tens of millions of dollars in measurable value. We're not just building AI - we're pioneering the future of intelligent banking, where every decision is explainable, every insight is actionable, and every outcome drives real impact.
Join the AI Revolution
Award-Winning Innovation
  • Winner: The Digital Banker's 2025 Global AI Innovation Awards (Best AI-Powered Platform)
  • Two-time finalist: American Chamber of Commerce Alliance Awards (Advanced Capabilities category)

Cutting-Edge Technology
  • Building agentic AI solutions that solve real world banking problems
  • We are live in major banks, making millions of decisions, generating tens of millions in value
  • Highest security accreditations: SOC2 Type 2 and ISO 27001 certified

5-Star Employer Experience
  • Named "Best Companies to Work For" by HRD Australia (2023)
  • High-performance teams working alongside industry-leading data scientists and credit experts
  • Vibrant, innovative culture that celebrates wins and solves complex problems together

Global Impact & Growth
  • Fast-expanding presence across Australia, New Zealand, and North America
  • Helping drive financial inclusion through fair, accessible, sustainable credit
  • Opportunity to gain AI expertise and international experience in a rapidly growing market

Work-Life Excellence
  • Flexible working arrangements - work how's right for you
  • Collaborative, agile environment where your contributions matter
  • Be part of a mission that's transforming financial services globally

RDC.AI North America offers:
  • Competitive benefits package (80% of premiums paid by RDC.ai)
  • 12 paid holidays
  • 20 days PTO per year + 5 paid personal or sick days per year
  • Paid Maternity/Paternity leave

Ready to shape the future of intelligent banking? Join us.
About the Role
RDC.AI is a cloud native AI Decisioning company and the Data Science function is key to our organizational success. As we look to expand in North America, we are looking for a Senior Data Scientist to join our North America team. A Sr Data Scientist will work closely with our customers on developing AI/ML based solutions to solve complex credit-based decisions in the Business and Commercial lending space. Key responsibilities will include:
  • Design, present & document AI-based initiatives to our clients, typically banking and risk executives.
  • Develop use cases for clients with clear objectives and success criteria, matching our AI platform capabilities and client needs.
  • Assist in developing data processing solutions and machine learning models to address the business objectives of our clients using RDC.AI platform.
  • Assist in developing AI/ML based solutions to be deployed on the RDC.AI platform for clients across use cases in Business and Commercial lending within North America
  • Help mentor and train junior data scientists on RDC.AI methodologies, AI/ML best practices and credit risk modelling methodologies in the Business and Commercial lending space.

About the Candidate
Essential-Experience/Skills
  • Bachelor's degree in in Statistics, Mathematics, Physics, Computer Science, or other Quantitative related degree.
  • 5+ years of data science experience, ideally in credit risk or financial services.
  • Experience developing and managing quantitative credit risk models including credit decisioning models.
  • Programming experience in Python for 3+ years.
  • Programming in SQL for 1+ years.
  • Knowledge of data discovery, statistics, and data-driven model discovery, development, and validation, and tracking.
  • Ability to learn and adapt to new or emerging modeling techniques (e.g., LLM, GenAI, LSTM, etc.)
  • Experience presenting to technical, and non-technical stakeholders, including senior leadership.
  • Excellent communication and client engagement skills.
  • Ability to travel within North America (estimated 25% travel).

Desired-Experience/Skills
  • Advanced degree in Statistics, Mathematics, Physics, Computer Science, or other Quantitative related degree.
  • Experience with commercial and/or business lending.
  • Experience working with traditional and non-traditional data sources such as transaction, accounting, and e-commerce data.
  • Understanding the decision-making process behind the lending process.
  • Experience in credit risk analysis, strategy design, and monitoring.
  • Experience with additional programming languages is nice-to-have (e.g., Java, Scala, R, SAS, Perl, etc.)

Apply