You can demonstrate relevant experience through internships, academic projects and/or teaching ... Foundation in statistics - You have a good understanding of core statistical concepts and are ...
You can demonstrate relevant experience through internships, academic projects and/or teaching ... Foundation in statistics - You have a good understanding of core statistical concepts and are ...
Bachelor's or master's degree in mathematics, statistics, actuarial science, or a related ... Exposure to R or Python * Familiarity with insurance pricing concepts * Experience in workers ...
Bachelor's or master's degree in mathematics, statistics, actuarial science, or a related ... Exposure to R or Python * Familiarity with insurance pricing concepts * Experience in workers ...
Actuarial Analyst
Chesterfield, MO · On-site
Bachelor's or master's degree in mathematics, statistics, actuarial science, or a related ... Exposure to R or Python * Familiarity with insurance pricing concepts * Experience in workers ...
Actuarial Analyst
Chesterfield, MO · On-site
Bachelor's or master's degree in mathematics, statistics, actuarial science, or a related ... Exposure to R or Python * Familiarity with insurance pricing concepts * Experience in workers ...
Actuarial Analyst
Chesterfield, MO · On-site
Bachelor's or master's degree in mathematics, statistics, actuarial science, or a related ... Exposure to R or Python * Familiarity with insurance pricing concepts * Experience in workers ...
Actuarial Analyst
Chesterfield, MO · On-site
Bachelor's or master's degree in mathematics, statistics, actuarial science, or a related ... Exposure to R or Python * Familiarity with insurance pricing concepts * Experience in workers ...
Public Finance/Data Science Intern (Temporary - Part time)
Columbia, MO · On-site
$18 - $20/hr
Finance/Data Science interns will gain practical experience in the constantly evolving field of ... statistics, mathematics, business, accounting, and computer science. • Strong communication ...
Public Finance/Data Science Intern (Temporary - Part time)
Columbia, MO · On-site
$18 - $20/hr
Finance/Data Science interns will gain practical experience in the constantly evolving field of ... statistics, mathematics, business, accounting, and computer science. • Strong communication ...
May share responsibility for direct supervision over law school interns with the judge or ... Check work queues and run statistical reports to determine motions and filings pending in the ...
May share responsibility for direct supervision over law school interns with the judge or ... Check work queues and run statistical reports to determine motions and filings pending in the ...
Law Clerk - Divisions
Kansas City, MO · On-site
$56K/yr
May share responsibility for direct supervision over law school interns with the judge or ... Check work queues and run statistical reports to determine motions and filings pending in the ...
Law Clerk - Divisions
Kansas City, MO · On-site
$56K/yr
May share responsibility for direct supervision over law school interns with the judge or ... Check work queues and run statistical reports to determine motions and filings pending in the ...
Internship R Statistics information
What are the key skills and qualifications needed to thrive as an R Statistics Intern, and why are they important?
To thrive as an R Statistics Intern, a solid understanding of statistical concepts, data analysis, and proficiency in R programming—often supported by coursework in statistics or data science—is essential. Familiarity with data visualization tools, R packages like dplyr and ggplot2, and version control systems such as Git is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret results and collaborate with team members. These skills ensure accurate data-driven insights and smooth integration into research or analytics projects.
What is the difference between Internship R Statistics vs Data Analyst?
| Aspect | Internship R Statistics | Data Analyst |
|---|---|---|
| Required Credentials | Typically pursuing or recent graduate in statistics, data science, or related field | Bachelor's degree in statistics, data analysis, or related field; sometimes requires experience |
| Work Environment | Internship setting, often part-time or temporary, in tech, finance, or healthcare industries | Full-time role in various industries like finance, marketing, healthcare, or tech |
| Employer & Industry Usage | Used by companies for training and entry-level data tasks, often in tech and research sectors | Employed by organizations to analyze data, generate reports, and support decision-making |
Internship R Statistics is an entry-level, temporary position focused on learning and assisting with statistical analysis using R. In contrast, a Data Analyst is a full-time professional role responsible for analyzing data, creating reports, and supporting business decisions. While internships are designed for skill development, data analyst roles require more experience and responsibility.
What types of projects or tasks can I expect to work on during an R Statistics internship?
As an R Statistics intern, you can expect to work on a variety of data-driven projects such as cleaning and analyzing large datasets, creating statistical models, and generating visualizations using R. You may collaborate closely with data scientists and other team members to support ongoing research, prepare reports, or assist in automating data workflows. Interns often have the opportunity to present their findings to the team and contribute to real-world decision-making processes, making this role a valuable learning experience for future careers in data analysis or statistics.
What jobs can you get knowing R?
Knowing R can qualify you for roles such as data analyst, data scientist, statistical analyst, or research analyst, where data manipulation, statistical modeling, and visualization are essential. These jobs often require proficiency with R packages like ggplot2, dplyr, and tidyverse, and may involve working in industries such as finance, healthcare, or marketing.
What job should I do if I like statistics?
If you like statistics, a career as a Data Analyst or Statistician is suitable. These roles involve analyzing data sets, creating reports, and using tools like R or Python to interpret information for decision-making. Strong analytical skills and knowledge of statistical methods are essential for these positions.
Which internship is best for statistics students?
The best internship for statistics students typically involves roles in data analysis, research, or analytics that utilize tools like R, Python, or SQL. Look for internships in industries such as finance, healthcare, or technology that offer hands-on experience with statistical modeling and data visualization. These opportunities often require strong analytical skills and may lead to full-time positions in data science or analytics.
What are Internship R Statistics positions?
Internship R Statistics positions are internships that focus on using the R programming language for statistical analysis and data processing. These roles are typically aimed at students or recent graduates who want hands-on experience working with data, performing statistical modeling, and visualizing results using R. Interns may work in various industries, such as healthcare, finance, or technology, and often assist with tasks like data cleaning, exploratory data analysis, and report generation. These internships help participants develop practical skills in R, deepen their understanding of statistics, and prepare them for careers in data science or analytics.
What can I do with a BS in statistics?
A BS in statistics prepares individuals for roles such as data analyst, statistician, or research assistant, where they analyze data, develop models, and interpret results. Skills in programming languages like R or Python and knowledge of statistical software are often required. These roles are common in industries like healthcare, finance, marketing, and technology.
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Posted 23 days ago
Job description
With thousands of active lots every day, hundreds of thousands of daily bids, millions of users, and billions of events, the Catawiki platform generates vast amounts of data. We collect and store this data, and use it extensively to build a better company by making smarter decisions. The Data Science & Insights team plays a central role in that.
We are looking for a Data Scientist - Commercial Insights to work with our Commercial teams (primarily marketing and supply) and leverage data to identify commercial opportunities from understanding the marketplace balance of the platform to scaling the demand/offering in a given category.
You will be part of the Data Science & Insights team helping us make sense of our data, finding actionable insights and creating self-service opportunities by combining data from multiple sources and working closely together with your colleagues in other departments.
In this role, no two days will be the same: you will build ad hoc analyses, design and analyse commercial activations, uncover trends in user behaviour, communicate about the impact of a new initiative or enhance the reliability of our data pipelines. Whatever the task, you'll play a pivotal role in shaping Catawiki's commercial strategy and influencing our stakeholders.
What You'll Do- Turn data into insights and recommendations - At Catawiki, you'll help teams make better decisions with clear, reliable analysis. You'll work with stakeholders to understand business questions, define success measures, uncover trends and turn data into practical recommendations.
- Work on a wide range of analytics projects - You'll contribute to different types of work, from ad-hoc analysis and dashboarding to data pipelines, advanced analytics and experiments. You'll learn how to choose the right approach for each question and turn your work into insights that teams can use.
- Early-career profile - You have 0-2 years of relevant experience in analytics, data or a related field. You can demonstrate relevant experience through internships, academic projects and/or teaching experience.
- Business-minded and analytical - You have a strong quantitative mindset and an interest in understanding how businesses work. You enjoy going beyond the numbers to understand the "why" behind trends and can turn data into practical recommendations that help teams make better decisions.
- Technical foundation and eagerness to learn - You have knowledge of SQL and an interest in developing your technical skills further. You're eager to learn tools and languages such as Python or R, and gain experience with data visualisation tools like Looker Studio, Tableau or Power BI.
- Foundation in statistics - You have a good understanding of core statistical concepts and are interested in applying them to real business questions. You're eager to learn techniques such as hypothesis testing, experimentation, regression analysis and trend analysis to extract meaningful insights.
- Proactive and entrepreneurial mindset - You take ownership, solve problems autonomously, and drive initiatives forward-even when it means stepping outside your comfort zone.
- Strong communicator - You can explain complex analyses and technical concepts in a clear and simple way, adapting your communication to different audiences.
This role is a hybrid role based in our Amsterdam office.