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Trainee Fintech Data Scientist Jobs (NOW HIRING)

They are seeking a Data Scientist to build predictive models, analyze consumer risk behavior, and ... or FinTech • Marketing analytical experience Company : NinjaHoldings is a digital financial ...

Senior Data Scientist About Current Current is a leading U ... S. fintech serving people who have been overlooked by traditional banks. We are one of the fastest ...

Data Scientist

New York, NY · On-site

$50K/yr

This role is for a high agency Data Scientist who ensures data is useful and adopted, not just ... Experience in fintech, payments, card programs, or financial infrastructure. * Python proficiency ...

Data Scientist

San Diego, CA · On-site

$125K - $144K/yr

... 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 ...

About the Role As a Operations Data Scientist at Kikoff, you work closely with cross functional ... Enthusiasm and comfort with using AI in analytics or for fintech problems * Experience with Machine ...

About the Role As a Senior Data Scientist at Kikoff, you work closely with cross functional teams ... Enthusiasm and comfort with using AI in analytics or for fintech problems * Experience with Machine ...

Data Scientist

San Diego, CA · On-site

$125K - $144K/yr

... 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 ...

Data Scientist

San Diego, CA · On-site

$125K - $144K/yr

... 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 ...

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 ...

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 ...

Kikoff: The Fintech Powering Financial Security at Scale Kikoff is a profitable, pre-IPO fintech ... and our Head of Marketing Data Science. Responsibilities * Own marketing measurement and ...

Data Scientist

$150K - $180K/yr

The Role We're looking for a hands-on Data Scientist who treats AI tooling as a core part of the ... You'll learn a tremendous amount about fintech, and there's a significant career runway at Pipe.

Prior experience in Fintech * Software engineering experience TEAM CULTURE: We are seeking ... data technology and science. Our ideal candidates are those who aim to foster a team spirit and ...

Prior experience in Fintech * Software engineering experience TEAM CULTURE: We are seeking ... data technology and science. Our ideal candidates are those who aim to foster a team spirit and ...

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Trainee Fintech Data Scientist information

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$37.5K

$122.7K

$196.5K

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

As of Jun 14, 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:
What job categories do people searching Trainee Fintech Data Scientist jobs look for? The top searched job categories for Trainee Fintech Data Scientist jobs are:
Infographic showing various Trainee Fintech Data Scientist job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

Full-time

Posted 3 days ago


Job description

Job Summary:
NinjaHoldings is a company founded in 2017 aiming to transform the interaction between everyday Americans and financial services. They are seeking a Data Scientist to build predictive models, analyze consumer risk behavior, and support model implementation while collaborating with cross-functional teams.
Responsibilities:
• Build predictive models to optimize lending decisions by using advanced statistical modeling and simulation techniques
• Use advanced data analytics to understand consumer risk behavior trends, their impact on the portfolio, and resulting business opportunities
• Support the implementation of models by working closely with the software engineering team and performing post release checks and analysis
• Assist with development of technical tools and platforms to standardize and streamline model development and monitoring processes
• Establish key performance metrics and develop automated reporting dashboards using SQL and Python
• Design A/B testing for models and underwriting strategies, evaluate impact, and provide recommendations
• Work with cross-functional teams to explore new ways of finding insights from data and provide recommendations
• Communicate concise and actionable business strategies to senior management
Qualifications:
Required:
• Bachelor's degree required
• 2+ years of professional experience with data analytics and statistical modeling
• Experience with relational databases and SQL
• Programming experience with Python
• Strong quantitative and problem-solving skills with key attention to detail
• Experience supporting and working with cross-functional teams in a dynamic environment
Preferred:
• Advanced degree in a quantitative discipline (e.g., math, statistics, analytics, quantitative finance, engineering, or other quantitative fields)
• Experience working with specialty finance or FinTech
• Marketing analytical experience
Company:
NinjaHoldings is a digital financial platform that offers loans, cards, payments, lending, and other financial products. Founded in 2017, the company is headquartered in Chicago, USA, with a team of 51-200 employees. The company is currently Growth Stage.