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Internship Data Science R Jobs in Boston, MA (NOW HIRING)

Chubb

SVP, Data Science

Boston, MA · On-site

$249K - $333K/yr

As part of the North America Data & Analytics leadership team and Head of Data Science for PRS ... Prior working experience with R and Python is essential; familiarity with SAS, SQL, Radar, and ...

Lutron Electronics Co., Inc

Data Scientist

Boston, MA · On-site

$120K - $135K/yr

Minimum, cumulative GPA of 3.00 for all degrees earned * 4+ years of hands-on experience in data science, analytics, or machine learning * Proficiency in Python or R, with working knowledge of SQL

Federal Reserve System

Lead Data Scientist

Boston, MA · On-site

... interns. Knowledge and Experience Education: Minimum B. Sc. Computer Science with Statistics or ... Python, R, Stata, SQL -Frameworks: Apache Spark, Apache Airflow -Cloud services: AWS (Lambda, EC2 ...

Resource Logistics Inc.

Sr. Data scientist

Boston, MA · On-site

Responsibilities : • build scalable, re-usable data science products • carry out analyses to yield actionable business insights Qualifications : Required : • R • Python • Clienture • ML ...

Lutron Electronics Co., Inc

Data Scientist

Boston, MA · On-site

$120K/yr

Minimum, cumulative GPA of 3.00 for all degrees earned * 4+ years of hands-on experience in data science, analytics, or machine learning * Proficiency in Python or R, with working knowledge of SQL

Biogen

Associate Director, AI/Data Science

Cambridge, MA · On-site

$176K - $242K/yr

This role will shape data science strategy, develop and evaluate AI/ML solutions, and partner ... Expert programming skills with Python, R, LLMs, or other languages applied to large, complex, and ...

Newton Research

Data Scientist

Boston, MA

$160K - $180K/yr

Master's or PhD in a quantitative field such as Mathematics, Physics, Computer Science, or a ... Experience in projects or internships involving collaboration with teams is a plus. * Experience in ...

Diverse Lynx

Sr. Data scientist @ Boston, MA

Boston, MA · On-site

... data science products • carry out analyses to yield actionable business insights • inform their statistical or machine learning approaches Qualifications : Required : • R • Python • Azure ...

Ipsen

Senior Data Scientist

Cambridge, MA · On-site

Proficient in programming languages such as Python and/or R, with a focus on healthcare data science * Proven experience working with patient-level Real World Data, medical data and a strong ...

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Internship Data Science R information

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$45

How much do internship data science r jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for internship data science r in Boston, MA is $24.45, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $26.63 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on during a Data Science Internship at R?

As a Data Science intern at R, you will typically be involved in projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of experienced data scientists. You may also contribute to developing data visualizations and presenting insights to stakeholders. Interns often collaborate with cross-functional teams, including software engineers and business analysts, which provides valuable exposure to real-world data challenges and team-based problem solving.

What is the difference between Internship Data Science R vs Data Analyst Intern?

AspectInternship Data Science RData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationExcel, SQL, basic statistical knowledge
Work EnvironmentData science teams, research projects, analytics departmentsBusiness units, marketing, finance, or operations teams
Industry UsageTech, finance, healthcare, research institutionsRetail, marketing, consulting, finance

Internship Data Science R focuses on applying R programming for statistical analysis and data modeling, often in research or technical environments. Data Analyst Internships emphasize data cleaning, visualization, and reporting using tools like Excel and SQL. Both roles require analytical skills but differ in technical depth and industry focus.

What is an Internship Data Science R?

An Internship Data Science R is a temporary position for students or recent graduates to gain practical experience in data science, with a focus on using the R programming language. Interns typically work under the guidance of experienced data scientists, assisting with data cleaning, analysis, visualization, and possibly building statistical models. This role helps interns develop technical and analytical skills, and provides exposure to real-world data-driven projects, often found in industries like finance, healthcare, or technology.

What are the key skills and qualifications needed to thrive as an Internship Data Science R, and why are they important?

To thrive as an Internship Data Science R, you need a solid grounding in statistics, data analysis, and programming with R, typically supported by coursework or a degree in a quantitative field. Familiarity with R packages (like tidyverse, ggplot2), data visualization tools, and version control systems such as Git is often required. Strong problem-solving skills, attention to detail, and effective communication help interns translate data insights into actionable recommendations. These abilities are crucial for supporting data-driven decision-making and contributing meaningfully to project teams in a professional environment.
Internship Data Science R jobs near you
SVP, Data Science

SVP, Data Science

Chubb

Boston, MA • On-site

$249K - $333K/yr

Full-time

Posted 8 days ago

Chubb rating

8.2

Company rating: 8.2 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

125th of 278 rated insurance

Job description


North America Insurance is Chubb's largest division comprising commercial and consumer P&C insurance businesses in the United States, Canada, and Bermuda. The successful candidate is a seasoned leader with expertise data science and model development and management. This position will be primarily responsible for personal lines product such as Homeowners and Auto. Although pricing will be a heavy focus, this position will also work with other forms of models, e.g. underwriting models, customer segmentation, lifetime value, customer journey, and operational analytics.
Responsibilities:
As part of the North America Data & Analytics leadership team and Head of Data Science for PRS, working collaboratively with business unit leaders to achieve ambitious business plans through talent development and placement. drive adoption, change, and increase the level of insight and intelligence available to the product team, UWs, and others, through:
The successful candidate is a seasoned leader with deep expertise in data science, model development, and management. This role is primarily responsible for advancing Personal Lines products, including Homeowners and Auto. Functional capabilities of the position encompass work owning and driving successful completion of underwriting models, customer segmentation, lifetime value, customer journey analytics, and as well helping to shepherd the deployment of AI technologies.
Reporting lines are to the Executive Vice President, Data and Analytics, N.A. and to the EVP, PRS Finance Product and Analytics Officer.
As the SVP Data Scientist for Personal Lines (PRS), you will:
  • Collaborate with business partners to design end-to-end processes that solve business challenges
  • Lead a team of Data Engineers and Data Scientists to execute analytical projects and communicate results to senior leaders, with a focus on PRS
  • Coach and mentor junior and senior Data Scientists on technical skills and career development
  • Serve as a thought leader and strategy lead for the Data Science discipline within PRS
  • Shape hiring, retention, and placement strategies for Personal Lines data scientists
  • Advise on upskilling, tools, and platforms for the PRS data science workforce
  • Provide thought leadership on data modeling and modeling techniques
  • Enable expanded modeling capabilities and variable exploration within the PRS ecosystem
  • Enhance customer, distribution, and digital intelligence
  • Deepen insights aligned with strategic plan objectives
  • Expand customer lifetime value analytics
  • Utilize AI and third-party data to optimize the Valuables business
  • Improve insured-to-value insights and modeling
  • Support PRS opportunity geography insights and strategy

Qualifications
  • 10+ years of experience in Data and Analytics leadership, or as a Data Science leader
  • Bachelor's degree or equivalent work experience; Master's degree preferred
  • Expertise in advanced and emerging analytical tools, such as web scraping, machine learning models, and knowledge graphs
  • Experience providing data-driven consultation to business unit leaders, either internally or as an external consultant
  • Background in developing analytics products, including querying tools, dashboards, applications, and business insights
  • Demonstrated ability in Data Science solution delivery
  • Strong ability to set execution plans, monitor progress, and drive actions for successful outcomes across asset development and deployment phases
  • Excellent communication skills and insurance knowledge; pricing experience required
  • Proven track record managing competing priorities with multiple deliverables and deadlines
  • Experience working with interdisciplinary teams, particularly in leadership roles, to achieve project completion and establish productive relationships with stakeholders
  • Prior management experience required
  • Prior working experience with R and Python is essential; familiarity with SAS, SQL, Radar, and QlikView is a plus
  • Strong verbal and written communication skills; ability to present complex issues in a manner easily understood by non-technical audiences
  • Creative problem solver with the ability to quickly identify and resolve errors through collaborative solutions

The pay range for the role is $249,000 to $333,000. The specific offer will depend on an applicant's skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.
About Us
Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.
At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.

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About Chubb

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Chubb is the world's largest publicly traded property and casualty insurer. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. We are a unique global organization with a culture of individuals passionately committed to our respective crafts. With underwriting at our core, each of us contributes to providing the best insurance coverage and service to our clients. Our highly collaborative, inclusive nature helps us drive better business outcomes through diversity of background, experiences, insights and values.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Warren, NJ, US

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