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Internship International Data Scientist Jobs (NOW HIRING)

Newton Research

Data Scientist

Boston, MA

$160K - $180K/yr

Data Scientist Company Description Newton Research is a fast-growing software start-up founded by ... Experience in projects or internships involving collaboration with teams is a plus. * Experience in ...

Accurant International

Data Scientist

$120K - $150K/yr

FlexEnergi, a Subsidiary of Accurant International Location: Remote (US ONLY) Status: Exempt Salary Range: $120K to $150K USD Job Title: Data Scientist Position Description We are hiring a Data ...

ManTech International

Data Scientist

Tampa, FL · On-site

... MANTECH International Corporation! Join a dynamic team dedicated to national security through ... The Data Scientist will leverage their strong technical background and knowledge to interpret and ...

The Tile Shop

Our Data Science team sits at the heart of innovation, driving impactful solutions across customer ... internship/work experience.

ManTech International

Data Scientist

Washington, DC · On-site

$141K - $236K/yr

... MANTECH International Corporation! Join a dynamic team dedicated to national security through ... MANTECH seeks motivated, career, and customer-oriented Data Scientist for a new initiative within ...

Conversica, Inc

Data Scientist

Seattle, WA · On-site

... for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate ...

GC-Squared Resources, LLC

Data Scientist

Preferred : • Prior internship or project experience involving industrial IoT sensor data and ... physical science discipline • Research publications or patents in equipment reliability ...

State Farm

Data Scientist

Richardson, TX · Hybrid

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

State Farm

Data Scientist

Bloomington, IL · On-site

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

State Farm

Data Scientist

Bloomington, IL · Hybrid

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

State Farm

Data Scientist

Bloomington, IL · Hybrid

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Pantheon Data

Data Scientist

Washington, DC · On-site

$80K - $150K/yr

Position Overview The Data Scientist designs and develops advanced analytical models to support ... international law. As part of the application process, you are expected to be on camera during ...

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Internship International Data Scientist information

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How much do internship international data scientist jobs pay per year?

As of Jul 31, 2026, the average yearly pay for internship international data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Internship International Data Scientist vs Data Analyst?

AspectInternship International Data ScientistData Analyst
Required CredentialsTypically pursuing or recent graduate in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related fields
Work EnvironmentInternship setting, often in tech or finance industries, with mentorshipFull-time or part-time roles in various industries, focusing on data interpretation
Employer & Industry UsageUsed by companies seeking entry-level data science skills, especially in tech and financeCommon across industries for business insights and reporting

The main difference is that an Internship International Data Scientist is an entry-level, temporary position aimed at gaining data science experience, while a Data Analyst is a more established role focused on analyzing and interpreting data for business decisions. Internships are ideal for students or recent graduates, whereas Data Analysts often have more experience and responsibilities.

What cities are hiring for Internship International Data Scientist jobs? Cities with the most Internship International Data Scientist job openings:
What are the most commonly searched types of International Data Scientist jobs? The most popular types of International Data Scientist jobs are:
What states have the most Internship International Data Scientist jobs? States with the most job openings for Internship International Data Scientist jobs include:
Internship International Data Scientist jobs near you

Senior Data Scientist - International eKYC, Identity Graph

Socure

San Francisco, CA • On-site

$170K - $200K/yr

Full-time

Re-posted 8 days ago

Job description

Why Socure?
Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won't be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading.
About the Role
The Big Data R&D team builds the core entity‑resolution and graph‑based intelligence that underpins Socure's Verify and KYC products. As a Senior Data Scientist focused on international eKYC, you will be a technical leader driving the next generation of global identity verification solutions. You will design and deploy ML and graph-based systems tailored to diverse international markets, regulations, and data ecosystems-covering government IDs, telco and credit bureaus, mobile-first data, and non‑traditional signals.
You will own complex, cross‑product initiatives such as international identity graph evolution, probabilistic matching for non‑US identities, and scalable evaluation frameworks that account for regional regulatory and fairness constraints. You will closely partner with Product, Engineering, Compliance, and GTM teams to launch and scale eKYC solutions across multiple countries and regions.
What You'll Do
International eKYC Modeling & Entity Resolution
  • Lead the design, development, and deployment of ML and graph-based algorithms for international entity resolution, identity trust scoring, and anomaly detection across heterogeneous, country‑specific datasets.
  • Architect reusable matching and linking frameworks that work across multiple ID schemes (e.g., national ID numbers, passports, voter IDs, mobile accounts, bank accounts) and local name/address conventions.
  • Develop probabilistic and rule‑augmented models that handle noisy, sparse, or partially labeled international data while maintaining explainability and regulatory defensibility.

Global Identity Graph & Data Quality
  • Define and evolve the international extension of Socure's identity graph: schema design, linkage strategies, quality tiers, and confidence scoring that can be leveraged by multiple products (Verify, KYC, watchlists, fraud).
  • Design and implement robust data quality and monitoring frameworks for international identity data (coverage, stability, drift, regional bias, label quality) and integrate them into modeling and production monitoring workflows.
  • Build scalable approaches for handling linguistic and cultural variation (e.g., transliteration, multi‑script names, address normalization, local naming patterns) in the identity graph and matching pipelines.

Evaluation, Experimentation, and Model Governance
  • Own experimentation strategy for major international eKYC initiatives:
  • Design offline evaluations and online A/B tests that reflect local ground truth constraints and data sparsity.
  • Define success metrics that balance approval rates, fraud capture, and regulatory/operational constraints per market.
  • Analyze lift, stability, and fairness trade‑offs and drive go/no‑go decisions with Product and Engineering.
  • Define and maintain evaluation frameworks specific to international eKYC (e.g., regional coverage maps, cross‑border identity leakage, local demographic impact, regulatory thresholds).
  • Contribute to model governance documentation and support responses to regulators and large enterprise customers regarding model logic, data provenance, fairness, and monitoring for international markets.

Data Source Strategy & Vendor Evaluation (International)
  • Lead the evaluation and integration of international data vendors (e.g., bureaus, telcos, public records, alternative data):
  • Design benchmarking methodologies for signal quality, incremental value, stability, and fairness by country/segment.
  • Quantify ROI and trade‑offs across multiple vendors and data types; provide clear recommendations that influence product and commercial decisions.
  • Partner with Data Acquisition, Legal, and Compliance to ensure that data usage and modeling approaches meet regional regulatory requirements (e.g., GDPR and local privacy/AML/KYC rules).

Technical Leadership & Cross‑Functional Partnership
  • Collaborate with engineering leaders to design scalable, reliable international data and model pipelines using Spark/PySpark, AWS (EMR, S3, SageMaker, Neptune), and modern MLOps workflows.
  • Act as a subject‑matter expert on international identity, eKYC regulations, and cross‑border data limitations for internal stakeholders, supporting complex customer questions and strategic roadmap discussions.
  • Mentor Data Scientists and Senior Data Scientists on best practices for international modeling: handling low‑label regimes, domain adaptation, localization of thresholds/logic, and building reusable abstractions instead of one‑off country fixes.
  • Communicate strategy, progress, and results to senior leadership and cross‑functional partners through clear documents and presentations, framing complex technical work in terms of business impact, regional risk, and regulatory trade‑offs.
What You Bring
Education & Experience
  • Master's or Ph.D. in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or a related field, or equivalent practical experience.
  • 6+ years of hands-on applied ML / data science experience (4+ with Ph.D.), including owning production models and pipelines in high‑stakes domains (fraud, risk, identity, payments, credit, or similar).
  • Significant prior work on international or multi‑region products is strongly preferred (e.g., cross‑country KYC, credit risk, payments, or compliance systems).

Technical Skills
  • Expert‑level proficiency in Python and SQL, with extensive experience in distributed data processing (Spark/PySpark, Databricks or similar) on very large datasets.
  • Deep experience designing, training, and deploying models for classification, ranking, anomaly detection, and/or graph learning, including:
  • Feature engineering for noisy/heterogeneous identity data.
  • Robust evaluation under label sparsity and feedback delays.
  • Calibration and thresholding tailored to regional risk and regulatory constraints.
  • Proven expertise with graph technologies (e.g., Neo4j, AWS Neptune, GraphFrames, DGL, PyTorch Geometric) and graph algorithms (entity resolution, link prediction, community detection, label propagation) at scale.

Please note that sponsorship is not available at this time; and that you must be located within 45 miles of a talent hub to be considered.
Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process-including interview or onboarding support-please reach out to your Socure recruiting partner directly.
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