Data Scientist / Senior Data Scientist Job at Berkshire Hathaway Specialty Insurance (Boston, MA/San Ramon, CA)

Data Scientist / Senior Data Scientist

Seeking multiple experienced Data Scientists & Senior Data Scientists with exper...

Location

Australia , Melbourne

Salary:

140000.00 - 229000.00 AUD / Year

Randstad

Expiration Date

July 03, 2026

Requirements

Deep, hands on experience in Data & AI Science
Experience utilising ML models to support complex, high impact solutions
Experience with AI coding tools
Python Experience
Ability to present to and engage with a range of senior stakeholders
Provide a deeper contribution to solution design and architecture
Ability to be a thought leader in your team

Job Responsibility

Contribute to the design, build and deployment of agentic solutions across a range of projects that support the broader organisation and their customers

Fulltime

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Data Scientist / Senior Data Scientist

Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Da...

Location

United States , Atlanta, GA/Boston, MA/San Ramon, CA

Salary:

100000.00 - 160000.00 USD / Year

Berkshire Hathaway Specialty Insurance

Expiration Date

Until further notice

Requirements

Ph.D. or M.S. in data science, civil engineering, atmospheric science, actuarial science, computer science, mathematics, or a related field
3-6 years of industry experience is preferred and required for the Senior Data Scientist level role
Advanced knowledge of probability theory, statistics, and machine learning methods is required
Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred
Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data
Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus
Strong written and verbal communication skills
Strong programming skills in Python (preferred), R, and SQL
Experience and understanding of relational and non-relational databases preferred
Comfort working within git-based version-control environments

Job Responsibility

Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets
Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk
Work with domain experts across teams and perils to enhance our use of available data
Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions

What we offer

Comprehensive Health, Dental and Vision benefits
Disability Insurance (both short-term and long-term)
Life Insurance (for you and your family)
Accidental Death & Dismemberment Insurance (for you and your family)
Flexible Spending Accounts
Health Reimbursement Account
Employee Assistance Program
Retirement Savings 401(k) Plan with Company Match
Generous holiday and Paid Time Off
Tuition Reimbursement

Fulltime

Senior Data Scientist, Data Management

Senior Data Scientist, Data Management - Remote, US. ICON plc is a world-leading...

Location

United States , Raleigh, Blue Bell

Salary:

Not provided

iconplc

Expiration Date

Until further notice

Requirements

Domain expertise in one or more targeted areas of the Revenue Cycle Management processes
Proficient in deterministic and probabilistic linkage concepts/methodologies to support patient journeys derived from anonymized RCM data
Advanced degree in a relevant field such as data science, statistics, computer science, or mathematics
Extensive experience in data science, with a strong track record of developing and implementing complex models and analyses
Proficiency in statistical analysis, machine learning techniques, and data visualization tools, with expertise in programming languages such as Python or R
Excellent problem-solving skills and the ability to manage multiple projects and priorities effectively
Outstanding communication and interpersonal skills, with the ability to present complex data insights clearly and collaborate with stakeholders across the organization

Job Responsibility

Designing and implementing advanced data models and algorithms to solve complex business problems and drive strategic insights
Conducting in-depth analyses of large and diverse data sets to uncover patterns, trends, and correlations that inform decision-making
Collaborating with cross-functional teams to understand business needs, translate them into analytical solutions, and communicate findings effectively
Developing and deploying machine learning models and statistical techniques to enhance predictive capabilities and optimize business processes
Providing thought leadership on data science best practices and emerging technologies to drive innovation and continuous improvement

What we offer

Various annual leave entitlements
A range of health insurance offerings to suit you and your family’s needs
Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead
Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family’s well-being
Life assurance
Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others

Senior Data Scientist - Data Foundations & AI

You’ll be a Senior Data Scientist on the Data Foundation & AI team at Plaid. In ...

Location

United States , San Francisco

Salary:

174000.00 - 260400.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

5+ years of experience in data science or analytics roles
Experience defining evaluation and metrics frameworks
Strong SQL and Python skills
Experience investigating ambiguous problems end-to-end
Ability to operate independently and influence stakeholders
Clear communication of trade-offs and insights
Ability to thrive in a collaborative environment, working with both technical and non-technical partners to drive measurable outcomes

Job Responsibility

Defining quality metrics that shape product direction
Turning ambiguous customer complaints into structured investigations
Building evaluation systems that scale
Measuring AI system effectiveness in a principled way
Automating workflows using modern AI tools
Influencing roadmap decisions through data

What we offer

medical, dental, vision, and 401(k)
equity and/or commission

Senior Data Scientist, Data Management

Senior Data Scientist, Data Management - Office Based in Blue Bell, PA or Raleig...

Location

United States , Blue Bell, PA or Raleigh, NC

Salary:

Not provided

iconplc

Expiration Date

Until further notice

Requirements

Domain expertise in one or more targeted areas of the Revenue Cycle Management processes
Proficient in deterministic and probabilistic linkage concepts/methodologies to support patient journeys derived from anonymized RCM data
Advanced degree in a relevant field such as data science, statistics, computer science, or mathematics
Extensive experience in data science, with a strong track record of developing and implementing complex models and analyses
Proficiency in statistical analysis, machine learning techniques, and data visualization tools, with expertise in programming languages such as Python or R
Excellent problem-solving skills and the ability to manage multiple projects and priorities effectively
Outstanding communication and interpersonal skills, with the ability to present complex data insights clearly and collaborate with stakeholders across the organization
Located in or around Blue Bell, PA or Raleigh, NC

Job Responsibility

Designing and implementing advanced data models and algorithms to solve complex business problems and drive strategic insights
Conducting in-depth analyses of large and diverse data sets to uncover patterns, trends, and correlations that inform decision-making
Collaborating with cross-functional teams to understand business needs, translate them into analytical solutions, and communicate findings effectively
Developing and deploying machine learning models and statistical techniques to enhance predictive capabilities and optimize business processes
Providing thought leadership on data science best practices and emerging technologies to drive innovation and continuous improvement

What we offer

Various annual leave entitlements
A range of health insurance offerings to suit you and your family’s needs
Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead
Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family’s well-being
Life assurance
Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others

Fulltime

Senior Data Scientist, Provider Data Science

As a Senior Data Scientist, you will join our Data team to help us build and mai...

Location

United States

Salary:

166500.00 - 185000.00 USD / Year

Thyme Care

Expiration Date

Until further notice

Requirements

Deep experience working with healthcare data such as electronic health records, claims, or prior auth
Expertise in analytics, data modeling, and data transformation
Deep expertise in dbt and SQL, with experience designing, rebuilding, and owning complex data models and pipelines
Experience with large healthcare datasets, ideally in a healthcare-focused technology startup, health plan, or provider group
A working knowledge of Python or R and experience with Looker or similar BI tools for data analysis and visualization is a plus
Previous direct involvement drug or Medicare Part D data is a plus

Job Responsibility

Model data, create visualizations to report to stakeholders, and deliver insights that drive action
Partner with Product, Engineering, Operations, and Data Science teams to define and lead improvements to data pipelines
Own efforts to reduce latency between data and applications, designing and building scalable data architecture and healthcare data models for pharmacy interventions and provider incentive programs
Gain deep understanding of core data architecture and lead improvements to data pipelines
Own and lead development of data models for analyzing EMR drug delivery and drug economics
Establish key KPIs and reporting standards to make operations more efficient
Partner with stakeholders to translate business requirements into technical plans
Lead development of utilization and quality metrics and serve as domain expert
Leverage data assets for business opportunities and strategic initiatives

What we offer

Equity
Benefits

Fulltime

New

Senior Data Scientist

We are looking for an experienced Senior Data Scientist to drive advanced analyt...

Location

Kosovo

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Strong experience in machine learning, statistics, and applied data science
Experience with causal inference, experimentation, or decision science methodologies
Solid understanding of forecasting, optimization, or analytical modeling techniques
Strong programming skills in Python and SQL
Experience building and deploying production-ready data science or ML systems
Familiarity with model lifecycle management (training, deployment, monitoring)
Hands-on experience with at least one major cloud platform: Azure (preferred), AWS, or GCP
Experience working with modern data and AI platforms (e.g., Azure ML / Azure AI, Databricks, or similar ecosystems)
Experience working with complex, multi-source datasets (e.g., transactional, behavioral, operational data)
Ability to translate business problems into analytical frameworks

Job Responsibility

Develop and deploy machine learning models across use cases (forecasting, optimization, recommendation systems)
Apply statistical, predictive, and prescriptive modeling techniques to solve business problems
Build reusable modeling frameworks that can scale across multiple domains
Design and implement causal inference methods (e.g., uplift modeling, experiments, quasi-experimental methods)
Translate observational and experimental data into actionable business insights
Embed causal reasoning into decision systems that guide actions (e.g., optimization, prioritization, trade-offs)
Integrate GenAI capabilities (e.g., LLMs, RAG pipelines, agent-based systems) into data science workflows
Contribute to the development of intelligent agents and AI-assisted decision-making systems
Combine structured data models with unstructured data and GenAI outputs
Build forecasting models (time-series, probabilistic, causal) to support planning and operations

What we offer

Health insurance that guarantees fast access to contracted health services
Vacation Plan
Subsidy for study materials, trainings, conferences and events that will contribute to your development
Hybrid Working model
Performance Evaluation Process that paves the roadmap for a personal and professional career development
Refreshments and fruit in the office
Team gatherings and parties organized and subsidized by the company

Fulltime

Senior Data Scientist

We are seeking an exceptional Data Scientist to join our dynamic Data Science te...

Location

India , Gurgaon

Salary:

Not provided

Baxter

Expiration Date

Until further notice

Requirements

Minimum 8+ years of progressive experience in AI/Data Science
At least 5+ years of hands-on experience in building AI/ML models for Financial domain
Proven track record of design and delivering production-grade AI/ML projects in enterprise environments for finance
Experience working with large-scale financial transactional datasets and ERP systems (SAP, Oracle, Workday etc)
Demonstrated success in cross-functional collaboration with Finance, IT, and Business teams
Hands-on experience in designing and deploying forecasting (Statistical and ML based) applied to financial metrics
Proven experience in designing and deploying production-ready solutions powered by Large Language Models (LLMs)
Experience in enterprise grade implementation of cutting edge Agentic AI solution
Programming Languages: Python (NumPy, Pandas, Scikit-learn), SQL (advanced proficiency required)
Machine Learning: Regression, Classification, Forecasting, Clustering, Ensemble Methods

Job Responsibility

Design, develop, and deploy advanced machine learning models to forecast key business KPIs including expense allocation and cash flow management
Build automated business process optimization model and reporting systems using AI
Design variance analysis frameworks to identify key drivers of financial performance
Conduct scenario analysis and sensitivity modelling for strategic initiatives
Present findings and recommendations to senior leadership and stakeholders
Establish data quality standards and governance frameworks for financial analytics
Drive innovation by evaluating and implementing emerging AI/data science technologies

What we offer

Paid Time Off
Employee Heath & Well-Being Benefits
Continuing Education/ Professional Development
Support for Parents
Employee Assistance Program
Competitive salary package commensurate with experience and market standards
Comprehensive health insurance coverage for self and dependents
Clear career progression path with regular performance reviews
Mentorship from senior leaders and exposure to global projects
Collaborative and inclusive culture that values innovation and diversity

Fulltime

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