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Entry Level Data Scientist Finance Jobs (NOW HIRING)

Ramp

Data Scientist, Finance

New York, NY · On-site

$137K - $297K/yr

Minimum of 3 years of industry experience in Data Science / Software Engineering / Finance * Strong AI proficiency as a lever to quickly adopt new skills and subject matter * Track record of shipping ...

New

Triwill Group

Data Scientist, Finance

Manhattan, NY · On-site

$140 - $220/hr

Minimum of 3 years of industry experience in Data Science / Software Engineering / Finance * Strong AI proficiency as a lever to quickly adopt new skills and subject matter * Track record of shipping ...

New

Ramp Corp.

Data Scientist, Finance

Manhattan, NY · On-site

$130 - $190/hr

Minimum of 3 years of industry experience in Data Science / Software Engineering / Finance * Strong AI proficiency as a lever to quickly adopt new skills and subject matter * Track record of shipping ...

New

DeFiner Inc

Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions. * Present and defend results to leadership ...

The Hollister Group

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

... Mathematics, Finance, etc.) or equivalent professional experience * Experience with machine ... entry-level data science concepts) * Experience writing code in Python * Experience handling ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

... Retail, Finance and Hospitality, adding tremendous value to those organizations by increasing ... This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ...

GainAm

Entry Level Data Scientist job

Hicksville, NY · On-site

$70K/yr

... scientists who research and integrate algorithms to develop an application, software, and computer system solutions to address complex data problems Assess project requirements and develop data ...

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Entry Level Data Scientist Finance information

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$37.5K

$122.7K

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How much do entry level data scientist finance jobs pay per year?

As of Aug 15, 2026, the average yearly pay for entry level data scientist finance 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 the difference between Entry Level Data Scientist Finance vs Entry Level Data Analyst Finance?

AspectEntry Level Data Scientist FinanceEntry Level Data Analyst Finance
Required CredentialsBachelor's in Data Science, Statistics, or related field; some roles prefer Python, R, SQL skillsBachelor's in Finance, Economics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentData teams, analytics departments, or finance divisions within banks, investment firms, or corporationsFinancial institutions, consulting firms, or corporate finance departments
Employer & Industry UsageUsed in financial modeling, risk analysis, and predictive analyticsUsed in reporting, trend analysis, and operational insights

Entry Level Data Scientist Finance focuses on advanced analytics, machine learning, and programming skills, while Entry Level Data Analyst Finance emphasizes data reporting, visualization, and basic analysis. Both roles are essential in finance but differ in technical complexity and focus areas.

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States with the most job openings for Entry Level Data Scientist Finance jobs include:

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Entry Level Data Scientist Finance jobs near you
Infographic showing various Entry Level Data Scientist Finance job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist, Finance

Ramp

New York, NY • On-site

$137K - $297K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Job description

About Ramp
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you've built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 5% and grows revenue 16% in their first year - far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
What You'll Do
  • Full stack development, building models to consume, transform, and expose data to stakeholders and production systems
  • Drive a culture of experimental design, testing agenda, and best practices
  • Contribute to the culture of Ramp's data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way
  • Collaborate with Finance teams (e.g. GTM Finance, StratFin) to develop financial insights and influence business decisions
  • Work closely with data engineering teams to capture, move, store, and transform raw data into highly actionable insights, and partner with business teams to turn those insights into action
What You Need
  • Minimum of 3 years of industry experience in Data Science / Software Engineering / Finance
  • Strong AI proficiency as a lever to quickly adopt new skills and subject matter
  • Track record of shipping high quality products and features at scale
  • Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
  • Familiarity with financial metrics and processes (e.g. contribution profit, financial statements, monthly close) and / or B2B enterprise sales cycle metrics and processes
  • Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries
Nice-to-Haves
  • Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)
  • Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards
  • Strong intuition on business strategy and customer empathy (ROI, growth channels, sales cycles, customer incentives)
  • Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
  • Experience partnering with finance teams or within the payments and financial technology space

Benefits available to all full-time Ramp employees (Global)
  • Flexible PTO
  • Centralized home-office equipment ordering
  • Health and wellness stipend
  • Budget for intra-office travel
  • Weekly coffee stipend

United States
  • 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
  • One Medical annual membership
  • 401(k), including employer match on contributions made while employed by Ramp
  • Fertility HRA (up to $10,000 per year)
  • Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
  • Pet insurance
  • In-office perks: lunch, snacks, drinks, and more
  • Relocation support to NYC or SF (as needed)
Canada
  • Group medical, dental, and vision coverage through Sun Life
  • Life, AD&D, and disability coverage
  • Fertility drug coverage (up to $4,000 lifetime)
  • Group Retirement Plan with employer match (RRSP + DPSP)
  • Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
  • Employee Assistance Program and virtual care through Lumino Health

United Kingdom
  • Private medical insurance through Freedom Elite
  • Virtual GP and at-home care via eMed x Livi
  • Workplace pension through Penfold, with salary sacrifice option
  • Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay

Referral Instructions
If you are being referred for the role, please contact that person to apply on your behalf.
Other notices
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice

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