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Trainee Fintech Data Scientist Jobs (NOW HIRING)

CYNET SYSTEMS

Senior Data Scientist

Washington, DC · On-site

$65/hr

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 ...

BlackLine, Inc.

Data Scientist

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

Calliere

Product Data Scientist

Manhattan, NY · Hybrid

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 ...

Medium

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 ...

StartX

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 ...

BlackLine, Inc.

Data Scientist

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

Rock Connections

Data Scientist

Detroit, MI · On-site

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 ...

Triumph Arcade, Inc

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 ...

Findigs

Data Scientist

New York, NY · On-site

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 ...

Triumph

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 ...

Jobtailor

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 ...

Rocket Limited Partnership

Data Scientist

Detroit, MI · On-site

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 ...

Findigs

Data Scientist

New York, NY · Hybrid

$160K - $185K/yr

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 ...

Moniepoint Group

NY · On-site

$120 - $180/hr

Who we are Ranked in 2024 by the Financial Times, Moniepoint is Africa's fastest-growing fintech ... About this role: We're looking for a Data Scientist to sit at the heart of how we fight fraud ...

Democrance

NY · On-site

$120 - $180/hr

Who we are Ranked in 2024 by the Financial Times, Moniepoint is Africa's fastest-growing fintech ... About this role: We're looking for a Data Scientist to sit at the heart of how we fight fraud ...

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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 Aug 23, 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 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 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 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.

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Trainee Fintech Data Scientist jobs near you
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, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Data Scientist

CYNET SYSTEMS

Washington, DC • On-site

$65/hr

Contractor

Re-posted 14 days ago

Job description

Job Overview:

Requirement/Must Have:

  • Master's or PhD in Computer Science, Data Science, Machine Learning, AI, or related field.
  • 8+ years of hands-on experience building and deploying machine learning models in production.
  • Proven expertise with LLMs, transformer architectures, transfer learning, and model fine-tuning.
  • Strong proficiency in Python, PyTorch or TensorFlow, and ML libraries such as Transformers.
  • Experience with cloud ML platforms, containerization (Docker/Kubernetes), and MLOps tools.
  • Solid understanding of statistical modeling, optimization, and evaluation methodologies.
  • Strong communication skills and ability to collaborate in cross-functional, fast-paced environments.

Responsibilities:

  • Design, build, and optimize Generative AI, LLM, and multimodal foundation models for enterprise fintech applications.
  • Fine-tune or adapt open-source and proprietary models.
  • Build high-performance models for NLP, document intelligence, anomaly detection, risk scoring, predictive analytics, and decisioning use cases.
  • Lead experimentation to evaluate model accuracy, scalability, and fairness.
  • Partner with engineering teams to deploy models on cloud-based ML pipelines (Azure, AWS) & data platforms (Databricks & Snowflake).
  • Work with large-scale structured and unstructured datasets across the payments and financial ecosystem.
  • Implement model monitoring, drift detection, and continuous retraining strategies.
  • Evaluate and operationalize new AI technologies, foundation model architectures, responsible AI frameworks, and emerging research.
  • Drive POCs and innovation initiatives that enhance AI capabilities and differentiate our products.

Nice to Have:

  • Experience working in fintech, payments, banking, or fraud/risk environments.
  • Background in vector databases, RAG pipelines, and knowledge graph integration.
  • Experience with data privacy, model governance, and Responsible AI frameworks.
  • Contributions to open-source AI/ML communities or research publications.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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