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Remote Data Science Jobs

Remote data science jobs are available, but the market is selective: Remoote found 51 active searchable remote roles from 36 companies using the Data Science title filter, with 36 showing salary information, last checked June 16, 2026. Listings change quickly, so use the current results below to confirm fit before applying.

Data Science
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65 jobs found

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Shown 1-10 of 65
This position is US - Remote Eligible.Full-TimeTechnology, TravelPosted
Senior Web Software Engineer, Data Science Prototyping
Company:Airbnb(5001-10000 employees, Hospitality, Travel Accommodations, PropTech)
  • Co-develop prototypes with Data Scientists by planning effective ways to answer open questions about new data models.
  • Choose implementation approaches that balance speed and realism to provide answers with high confidence.
  • Build APIs that provide data from backend systems for use in prototypes.
  • Create custom interactions and novel user interface components to showcase model potential.
  • Guide data scientists in building their own prototypes to demonstrate the value of proposed solutions.
Frontend DevelopmentJavascriptTypeScript+2 more

$196,000 — $227,000 USD

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UK. Secondary Locations: PortugalIrelandFull-TimeFintech PaymentsPosted
Head of Data Science
Company:Paddle(Consulting, Training, Human Resources)
  • Prioritize use cases across payment performance, revenue recovery, growth, and risk to build a value-based roadmap.
  • Deliver the first systems end-to-end, including analysis, feature engineering, model training, deployment, and performance testing.
  • Operate live systems by owning monitoring, retraining, incident response, and drift management.
  • Build and lead a hub-and-spoke team of data scientists and machine learning engineers.
  • Establish robust production standards including model registries, inference services, and observability for both traditional ML and agentic workflows.
  • Manage governance and risk assessment for automated decisioning in alignment with GDPR, EU AI Act, and financial regulations.
  • Collaborate cross-functionally with Product, Engineering, Finance, and Legal to ensure high-value delivery.
PythonSQLMachine Learning+1 more
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GlobalFull-TimeFintechPosted
Head Of Data Science & Credit Risk
Company:FINN
  • Lead the design, testing, and deployment of ML models for credit decisioning, fraud detection, and risk segmentation.
  • Develop underwriting algorithms using alternative data sources to expand financial access.
  • Develop and manage credit risk frameworks, policies, and approval strategies adapted to each market.
  • Set risk thresholds and customer segmentation strategies balancing growth, default rates, and portfolio health.
  • Build, lead, and mentor a team of data scientists and risk analysts while remaining hands-on with technical work.
  • Communicate model performance, portfolio trends, and strategic recommendations to the executive team and board.
  • Partner with engineering, product, and finance to translate analytical insights into business outcomes.
SQLMachine LearningData science+2 more

A competitive salary based on experience and location.

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Remote work opportunity for candidates based in Canada.Full-TimeData SciencePosted
Manager, Data Science
Company:Jobgether
  • Translate client and stakeholder needs into clear analytical requirements, objectives, success metrics, and actionable data solutions.
  • Build, maintain, and improve statistical, predictive, sales attribution, conversion, and machine learning models across multiple business areas.
  • Design and implement generative AI solutions, including LLM applications, vector search, embedding-based retrieval, and agentic automation.
  • Develop efficient SQL queries and Python-based data transformation workflows using cloud data platforms, particularly BigQuery.
  • Build and maintain dashboards, reporting views, and lightweight analytical applications using Tableau, JavaScript, and Google Apps Script.
  • Mentor junior team members, share technical knowledge, and contribute to documentation, automation, and standardized QA practices.
PythonSQLGCP+6 more

94k - 160k USD per year

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Location: Remote; This role is open to applicants currently residing in the United States.Full-TimeHealthcarePosted
Director of Data Science
Company:Oasis Health Partners
  • Own our machine learning strategy and execution
  • Collaborate within the tech team, clinical, and operations to implement best-in-class clinical interventions
  • Set up analytics data models in DBT
  • Identify additional sources of data to risk stratify patients and understand program impact
  • Build out predictive models to identify high risk patients
  • Utilize AI/LLMs to advance patient and provider engagement
  • Analyze clinical data received from payors and providers
  • Analyze clinical program performance and operational data
  • Develop the analytics layer to support executive and operational dashboards
PythonSQLArtificial Intelligence+4 more
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United StatesFull-TimeSoftware, InfrastructurePosted
Data Science (Mid-Level)
Company:Irth Solutions(11-50 employees, Computer, Cloud Computing, Asset Management)
  • Build and maintain medallion architecture data pipelines (Bronze, Silver, Gold) using Databricks.
  • Develop and deploy machine learning and GenAI solutions, including forecasting, NLP, and RAG architectures.
  • Implement CI/CD pipelines for data and ML workloads using GitHub Actions and Databricks Asset Bundles.
  • Ensure data security and governance by implementing RBAC, ABAC, and PII masking.
  • Monitor model and pipeline performance against established SLAs and SLOs.
  • Partner with Product and engineering teams to translate business requirements into actionable data products.
  • Manage production workflows and model registry via Unity Catalog.
PythonSQLMachine Learning+5 more
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London or UK remoteFull-TimeTechnologyPosted
Data Science Manager
Company:Monzo
  • Lead, develop and grow a team of exceptional Data Scientists and other Data professionals.
  • Hire, coach and retain talented people while creating an environment where they can develop and do their best work.
  • Set the Data Science direction for your area and identify where data can have the greatest customer and business impact.
  • Partner with Product, Engineering and senior stakeholders to shape strategy and influence product direction.
  • Bring analytical rigour to complex and ambiguous problems and help teams turn them into clear, actionable opportunities.
  • Ensure teams are using the right analytical approaches, from experimentation and causal inference through to statistical modelling and machine learning.
  • Help connect Data Science work to measurable customer, product and commercial outcomes.
  • Work with Analytics Engineering, Machine Learning and other Data disciplines to ensure teams have the data, tooling and infrastructure they need.
PythonSQLMachine Learning+2 more

£100,000 to £130,000 + Incentive Awards tied to your performance

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London or UK remoteFull-TimeBanking, Financial TechnologyPosted
Data Science Manager, Financial Crime
Company:Monzo(1001-5000 employees, Financial Services, Banking, Wealth Management)
  • Build and lead a discipline of exceptional data scientists and analysts focused on detecting and fighting financial crime.
  • Hire, develop, and retain talented data professionals.
  • Generate insights to change the direction of financial crime strategy.
  • Provide data leadership and rigor to product development, structuring complex projects.
  • Collaborate with risk, product, and engineering managers to ensure high-quality data collection and business insights.
PythonSQLBusiness Intelligence+2 more

£100,000 to £130,000 + Incentive Awards tied to your performance

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London or UK remoteFull-TimeFinancial ServicesPosted
Data Science Manager
Company:Monzo(1001-5000 employees, Financial Services, Banking, Wealth Management)
  • Lead, develop, and grow a team of Data Scientists and other data professionals.
  • Hire, coach, and retain talent while creating an environment for professional development.
  • Set the data science direction for your area to identify customer and business impact.
  • Partner with product, engineering, and senior stakeholders to shape strategy and influence product direction.
  • Bring analytical rigour to complex, ambiguous problems to create actionable opportunities.
  • Ensure teams utilize appropriate analytical approaches, including experimentation, causal inference, statistical modelling, and machine learning.
  • Connect data science initiatives to measurable customer, product, and commercial outcomes.
  • Collaborate with analytics engineering and machine learning teams to ensure proper tooling and infrastructure.
PythonSQLMachine Learning+3 more

£100,000 to £130,000 + Incentive Awards tied to your performance

Apply
London or UK remoteFull-TimeFinTechPosted
Data Science Manager
Company:Monzo
  • Lead, develop and grow a team of exceptional Data Scientists and other Data professionals.
  • Hire, coach and retain talented people while creating an environment where they can develop and do their best work.
  • Set the Data Science direction for your area and identify where data can have the greatest customer and business impact.
  • Partner with Product, Engineering and senior stakeholders to shape strategy and influence product direction.
  • Bring analytical rigour to complex and ambiguous problems and help teams turn them into clear, actionable opportunities.
  • Ensure teams are using the right analytical approaches, from experimentation and causal inference through to statistical modelling and machine learning.
  • Help connect Data Science work to measurable customer, product and commercial outcomes.
  • Work with Analytics Engineering, Machine Learning and other Data disciplines to ensure teams have the data, tooling and infrastructure they need.
  • Contribute to the wider Data Science discipline at Monzo, helping us continually raise the bar for how we work.
PythonSQLMachine Learning+3 more

£100,000 to £130,000 + Incentive Awards tied to your performance

Apply
Shown 1-10 of 65
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Is remote data science hiring real right now?

Yes, but it is not a huge open market. Based on Remoote job data from June 16, 2026, the current Data Science search block surfaces 51 active searchable remote jobs across 36 companies. Visible examples include Data Science & Engineering Lead, Senior Manager Data Science & Analytics, Associate Director Media Data Science, Software Engineer - Data Science, and Data Science Intern.

That mix matters because “data science” can mean hands-on modeling, analytics leadership, data engineering, experimentation, media measurement, or software work around ML systems. Read the responsibilities before assuming a listing matches your target role.

How should you screen noisy ML and analytics listings?

Start with the work, not the title. A strong data science listing should say what data you will use, which business decision the models or analysis support, what tools or languages are expected, and whether the role is individual-contributor, management, or hybrid engineering work.

  • For ML-heavy roles, look for modeling, evaluation, deployment, experiment design, or production ML ownership.
  • For analytics-heavy roles, look for metrics, dashboards, stakeholder decision support, SQL, experimentation, or product analytics.
  • For leadership roles, check whether the job is people management, technical strategy, or both.
  • For internships or early-career roles, confirm whether mentorship, scope, and required experience are realistic.

If a posting uses data science keywords but never explains the dataset, business problem, tools, or decision-making context, treat it as a noisy listing and compare it carefully with the roles below.

What can you know about salary before applying?

Salary visibility is relatively strong for this page: 36 of the 51 current Data Science-filtered roles show salary information, based on Remoote listings checked June 16, 2026. This page does not claim a salary range because compensation varies by seniority, location rules, and role type.

If pay is your first filter, compare these listings with remote job salaries before applying. If a role does not show pay, check whether the employer explains compensation later in the process and whether the location or time-zone requirements could affect the offer.

Where should you branch next?

If the current data science set is too narrow, browse the broader remote IT jobs category or compare nearby paths such as remote data analyst jobs. If you are early in your career, start with entry-level remote jobs or remote jobs without experience before spending time on senior data science listings.

Company choice also matters in a small market. Use top remote companies to identify employers with broader remote hiring activity, then return here to check whether their data roles match your skills.

Source: Remoote job listings using the current Data Science title filter, checked June 16, 2026. Counts are a point-in-time snapshot and may change as employers post, update, or close roles.

Remote data science jobs FAQ

Yes. Remoote found 51 active searchable remote jobs from 36 companies using the current Data Science title filter, checked June 16, 2026. Availability changes quickly, so confirm the current results before applying.

Data science titles are used inconsistently by employers. Some roles focus on modeling, some on analytics leadership, and some on software or data engineering around data products. Read the responsibilities, tools, and success metrics before deciding whether a listing fits your target path.

36 of the 51 current Data Science-filtered roles show salary information, based on Remoote job data from June 16, 2026. That is useful for screening, but it does not support one universal salary range because role level, location rules, and responsibilities vary.

Check whether the listing explains the data, business problem, tools, seniority, remote location rules, and interview expectations. Be cautious with vague ML or analytics titles that do not describe the actual work.

Try adjacent searches such as remote data analyst roles, broader remote IT jobs, or entry-level remote jobs if your experience level is lower. Data science supply is real but selective, so branching can help you find roles that match your skills faster.

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