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Trainee Fintech Data Scientist Jobs (NOW HIRING)

Data Scientist

San Diego, CA · On-site

$125 - $144/hr

... trainee measurement aids when required for training of new or upgraded equipment due to a major ... Bachelor's Degree in Data Science or equivalent * 5 (Five) or more years of professional experience ...

A minimum of 7 years industry experience in data science; previous experience in a marketplace or fintech company is a plus * Strong and relevant experience with advanced experimentation and ...

Staff Data Scientist

San Francisco, CA · On-site

$170K - $225K/yr

A minimum of 7 years industry experience in data science; previous experience in a marketplace or fintech company is a plus * Strong and relevant experience with advanced experimentation and ...

We're a fintech company focused on modernising how workers access and manage their pay, giving them ... Product Data Scientist \n \n \n \n \n \n We're hiring a Product Data Scientist to own the ...

Data Scientist

Manhattan, NY · On-site

$160 - $185/hr

Qualifications * 4+ years of hands‑on data science or applied ML experience (fintech, proptech, or other high‑stakes decisioning environments preferred) * Strong Python skills (pandas ...

Data Scientist

Manhattan, NY · On-site

$160 - $185/hr

Qualifications * 4+ years of hands‑on data science or applied ML experience (fintech, proptech, or other high‑stakes decisioning environments preferred) * Strong Python skills (pandas ...

Master's or PhD in Computer Science, Data Science, Machine Learning, AI, or related field. * 8+ ... Experience working in fintech, payments, banking, or fraud/risk environments. * Background in ...

We are looking for a Data Scientist to join our Product & Technology organization and play a ... Experience working in data-intensive, product-driven environments, preferably in SaaS or FinTech

Data Scientist

Milpitas, CA · On-site

$110 - $140/hr

We are Payactiv, a FinTech company in the heart of Silicon Valley, devoted to giving workers access ... Payactiv's Finance Risk & Analytics team is seeking an experienced Data Scientist , based out of ...

Data Scientist

San Francisco, CA · On-site

$200K - $400K/yr

Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization, LTV modeling, or experimentation. * Prior experience as a quantitative trader or quantitative ...

Data Scientist

Manhattan, NY · On-site

$100 - $130/hr

We'd love to hear from you if you have * 4+ years of hands‑on data science or applied ML experience (fintech, proptech, or other high‑stakes decisioning environments preferred). * Strong Python ...

Data Scientist

San Francisco, CA · On-site

$200K - $400K/yr

Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization, LTV modeling, or experimentation. * Prior experience as a quantitative trader or quantitative ...

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature ... fintech, real estate and more. We're insistently different in how we look at the world and are ...

We'd love to hear from you if you have: * 4+ years of hands-on data science or applied ML experience (fintech, proptech, or other high-stakes decisioning environments preferred) * Strong Python ...

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature ... fintech, real estate and more. We're insistently different in how we look at the world and are ...

Showing results 41-60

Trainee Fintech Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do trainee fintech data scientist jobs pay per year?

As of Aug 10, 2026, the average yearly pay for trainee fintech data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What kinds of projects and collaborations can a trainee fintech data scientist expect to be involved in during their first year?

As a Trainee Fintech Data Scientist, you'll typically work on real-world data projects such as analyzing transaction patterns, detecting fraud, or building predictive models for credit scoring. You'll collaborate closely with experienced data scientists, software engineers, and business analysts, often participating in agile teams and cross-functional meetings. It's common to have mentorship opportunities and structured training sessions to help you ramp up on both technical skills and domain knowledge. Over time, you'll gain experience presenting your findings to both technical and non-technical stakeholders, which is key for career growth in fintech.

What are the key skills and qualifications needed to thrive as a trainee fintech data scientist, and why are they important?

To thrive as a Trainee Fintech Data Scientist, you need a solid grounding in statistics, data analysis, and programming (often with Python or R), typically supported by an academic background in a quantitative field. Familiarity with data visualization tools, SQL databases, and introductory machine learning libraries is highly beneficial, as is exposure to fintech platforms or certifications like Data Science or Fintech Foundations. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data insights and collaborate with cross-functional teams. These competencies are crucial for extracting meaningful value from complex financial data and driving innovation in a rapidly evolving fintech landscape.

What is a trainee fintech data scientist?

A Trainee Fintech Data Scientist is an entry-level professional who works with financial technology (fintech) companies to analyze and interpret complex financial data. This role involves learning to use data science tools and techniques such as machine learning, programming, and statistical analysis to solve business problems in areas like risk assessment, fraud detection, and customer insights. Trainees typically work under the supervision of experienced data scientists to gain hands-on experience and develop their technical and domain expertise in the fintech sector.

What is the difference between Trainee Fintech Data Scientist vs Junior Data Analyst?

AspectTrainee Fintech Data ScientistJunior Data Analyst
Required CredentialsTypically a degree in data science, computer science, or related field; some certifications beneficialOften a degree in statistics, mathematics, or related field; certifications are optional
Work EnvironmentFintech companies, startups, or financial institutions; focus on developing models and algorithmsVarious industries including finance, retail, or healthcare; focus on data reporting and analysis
Employer & Industry UsageCommonly used in fintech for developing predictive models and algorithmsUsed across industries for data reporting, visualization, and basic analysis

The Trainee Fintech Data Scientist focuses on developing advanced models and algorithms within the fintech industry, often requiring programming skills and statistical knowledge. In contrast, a Junior Data Analyst primarily handles data reporting and visualization tasks. While both roles require a background in data-related fields, the trainee data scientist role emphasizes machine learning and model development, making it more technical and specialized.

More about Trainee Fintech Data Scientist jobs
What cities are hiring for Trainee Fintech Data Scientist jobs? Cities with the most Trainee Fintech Data Scientist job openings:
What are the most commonly searched types of Fintech Data Scientist jobs? The most popular types of Fintech Data Scientist jobs are:
What states have the most Trainee Fintech Data Scientist jobs? States with the most job openings for Trainee Fintech Data Scientist jobs include:
Infographic showing various Trainee Fintech Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Full-time

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Job description

Overview
Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. Objective. Responsive. Trusted.
The AUKUS, Submarines, and Industrial Base Group (ASIG), within the Sea, Land, Air Division, provides timely, objective, analytic assessments that integrate technical, operational, programmatic, policy and business analysis to Director Submarine Program directorates and key stakeholders surrounding submarine platform construction. Director Submarine Program unifies submarine platform procurement activities, which includes the Columbia-class SSBN program (a Major Defense Acquisition Program and the Navy's top acquisition priority), the Virginia-class SSN program, the new SSN-X program (developing the next generation attack submarine), and the AUKUS Integration and Acquisition Office, to bring improved capabilities to our undersea forces. Analysts and Engineers supporting Director Submarine Program will continue SPA's decades of support to the SSBN force, as well as supporting oversight of cutting-edge attack submarine construction, assisting in developing the design requirements for the SSN platform of the future, and helping plan and execute new and innovative strategies to strengthen the critical submarine shipbuilding industrial base. These are high-profile, major acquisition and manufacturing programs of significant importance to the future capabilities of the US Navy in an era of renewed strategic competition.
SPA is looking for a Mid-Level Data Scientist with Artificial Intelligence experience in the training and development field to support a contingent role with Naval Information Warfare Systems Command (NAVWAR) Manpower, Personnel & Training in San Diego, CA. #KS M
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Responsibilities
In this role, a Mid-Level Data Scientist will work with NAVWAR's CNO's Integrated Product Team for Data Science to help develop data scientist training for NAVWAR Enterprise products. Work will include creation and modification of initial training plans, usable training packages for systems in production as well as training guides for instructors and maintenance personnel; support installation of new training equipment, including preparation of plans; alterations, conversions, rehabilitations, of facilities required incident to installation (excluding military construction); and field engineer services; support removals and re-installation of an initial equipment installation project, removal of equipment no longer used for training purposes, and re-installations required because of the re-establishment of upgrade of a training program; support initial training for new production equipment furnished until the training agency can acquire the capability; prepare technical or journeyman's manuals with associated instructor guides and trainee measurement aids when required for training of new or upgraded equipment due to a major system modification.
Qualifications
Required Qualifications:
  • Bachelor's Degree in Data Science or equivalent
  • 5 (Five) or more years of professional experience in data science related to training and development, with a artificial intelligence focus
  • Data management and data visualization experience with Navy or comparable DoW databases
  • Possession of 1 or more relevant industry certifications such as CompTIA Cloud Essentials, Microsoft Technical Associate (MTA), Certificate of Cloud Security (CCSK), CompTIA A+, CompTIA Security+, EMC Data Science Associate (EMCDSA), Cloudera Certified Data Scientist (CCDH), Certified Apache Hadoop Developer (HCAHD) (Hortonworks), Certified Information System Security Professional (CISSP), Certified Cloud Professional (CCP) (Cloudera), Microsoft Certified Professional Developer (MCPD), Microsoft Certified Solution Developer(MCSD), Microsoft Certified Solution Expert (MCSE), Private Cloud, Certified Administrator for Apache Hadoop (CCAH) (Cloudera)
  • Proven ability to work independently and within a team environment to achieve client objectives.
  • DoD Top Secret Clearance and the ability to maintain it throughout employment

Desired Qualifications:
  • Ability to collaborate with Navy partners to execute integrated training products
  • Experience in direct support of a Navy or DoW data visualization product developing, preferably within NAVWAR or NETC

At SPA, we strive to deliver a robust total compensation package that will attract and retain top talent. Elements of the compensation package include competitive base pay and variable compensation opportunities.
SPA provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, etc.
Please note that the salary information shown below is a general guideline only. Salaries are commensurate with experience and qualifications, as well as market and business considerations. Pay Transparency Range: $125K-$144K.
Pay Range Information
At SPA, we strive to deliver a robust total compensation package that will attract and retain top talent. Elements of the compensation package include competitive base pay and variable compensation opportunities. SPA provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, etc. Please note that the salary information shown below is a general guideline only. Salaries are commensurate with experience and qualifications, as well as market and business considerations. California, Pay Transparency Salary range: USD $125,000.00/Yr. - USD $144,000.00/Yr.