Applied Scientist Intern Job at Microsoft Corporation (Multiple Locations)

R&D Data Scientist - Intern

Due to rapid growth, we are seeking to expand our R&D team and we are looking fo...

Location

France , Paris

Salary:

Not provided

Descartes Underwriting

Expiration Date

Until further notice

Requirements

Student from a research-oriented master’s degree in applied mathematics, physics, climate or meteorological studies
Ideally a previous professional experience (internship) in Data Science or climate modelling
Keen interest in climate related topics
Highly skilled in statistics, probabilities, applied mathematics and machine learning methods
Eye for quality and attention to detail
Fluency in English (written and verbal communication) is required
Proficiency in Python (e.g. pandas, scikit-learn)
Good command of one additional language (e.g. Chinese, French, Italian, German, Spanish...) is valued
Interested in weather and natural perils modelling (wildfires, hail, tsunamis, earthquakes etc)
Excellent team player able to work under pressure and respect deadlines

Job Responsibility

Improving and/or developing new models to improve our understanding of climate risks
Conducting research on the modelling of climate risks and machine learning methods
Identifying new and innovative ideas and testing state-of-the-art methods from scratch based on recent research articles
Collaborating with the underwriting and business teams to ensure our products are efficiently integrated into the underwriting process and meet our client’s needs
Working autonomously and pragmatically to make appropriate technical decisions

What we offer

Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence
Work in a collaborative & professional environment
Be part of an international team, passionate about diversity
Join a company with a true purpose – help us help our clients be more resilient towards climate risks
Attractive remuneration according to the profile, meal voucher, 60% transport reimbursement

Data Scientist - Intern

Due to rapid growth, we are seeking to expand our Data Science team and we are l...

Location

France , Paris

Salary:

Not provided

Descartes Underwriting

Expiration Date

Until further notice

Requirements

Student from academic institutions, universities or engineering schools with a specialization in computer science, applied mathematics, climate, meteorological studies or data science for business
Ideally a previous experience (internship) in data science, insurance or climate modelling
Keen interest in climate related topics
Highly skilled in statistics, probabilities, applied mathematics and machine learning methods
Eye for quality and attention to details
Fluency in English (written and verbal communication) is required
Proficiency in Python (e.g. pandas, scikit-learn)
Good command of one additional language (e.g. Chinese, French, Italian, German, Spanish...) is valued
Interested in weather and natural perils modelling (wildfires, hail, tsunamis, earthquakes etc)
Excellent team player able to work under pressure and respect deadlines

Job Responsibility

Conducting structuring work, risk analysis and insurance proposal for worldwide public sector and corporate clients
Discussing business opportunities with Descartes’ partners and being responsible for technical documentation and insurance contracts redaction
Collaborating with the business team to understand client needs and issues to further improve our product offering
Participating in the development of Descartes’ technological platform to differentiate Descartes from its competitors (models and pricing tools)
Working autonomously and pragmatically to make appropriate technical decisions with attention to details

What we offer

Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence
Work in a collaborative & professional environment
Be part of an international team, passionate about diversity
Join a company with a true purpose – help us help our clients be more resilient towards climate risks
Attractive remuneration according to the profile, meal voucher, 60% transport reimbursement

Data Scientist Intern

The Data Scientist Intern will be responsible for assisting our full-time Data S...

Location

United States , Lincoln

Salary:

Not provided

Sandhills Global

Expiration Date

Until further notice

Requirements

Completion of or progress towards a degree in Data Science, Mathematics, Statistics, or any other applied or quantitative discipline
Experience in Python or R, and various libraries/packages
Some understanding of machine learning concepts and techniques, including tree-based models and neural networks
Ability to perform critical thinking and statistical analysis
Strong oral and written communication skills
Ability to commute when scheduled to the local office is required
Able to work independently and communicate within a team environment
Results oriented
Flexible and open to change
Stable and progressive work history

Job Responsibility

Assisting our full-time Data Scientist team in the analysis, development, and testing of code supporting our existing and future products and services
Learn, analyze, and utilize our data to solve problems and answer questions that lead us to better serve our customers
Visualize or contextualize raw data, train, evaluate, and deploy various types of modeling techniques, and communicate the resulting trends and observations
Help facilitate the curation of our data upstream from the work described above, making the actual analysis and modeling of the data possible
Assume other duties as assigned.

Research Scientist Intern PhD, Applied Research

Meta is seeking Research Interns to join our Products and Applied Research team....

Location

United States , Bellevue

Salary:

7650.00 - 12134.00 USD / Month

New

Applied Scientist 2

We’re building the next-generation Grounding Service that powers the latest AI a...

Location

China , Beijing

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
OR equivalent experience.
Minimum of 2 years of hands-on experience designing and building search, retrieval, or ranking systems.
Proven track record of shipping LLM-powered or Retrieval-Augmented Generation (RAG) systems into production environments.
Solid coding skills and solid foundation in machine learning, with the ability to implement and optimize models effectively.
Demonstrated ability to lead through ambiguity, make principled trade-offs, and deliver measurable impact in cross-functional, fast-paced settings.

Job Responsibility

Owns the science roadmap for grounding—including retrieval, re-ranking, attribution, and reasoning—driving initiatives from problem framing to production impact. Designs and evolves state-of-the-art retrieval and RAG orchestration across documents, tables, code, and images.
Builds citation and provenance systems (e.g., passage highlighting, quote-level alignment, confidence scoring) to reduce hallucinations and increase user trust. Leads experimentation and evaluation using A/B testing, interleaving, NDCG, MRR, precision/recall, and calibration curves to guide measurable trade-offs.
Advances tool-augmented grounding through schema-aware retrieval, function calling, knowledge graph joins, and real-time connectors to databases, cloud object stores, search indexes, and the web. Partners with platform engineering to productionize models with scalable inference, embedding services, feature stores, caching, and privacy-compliant multi-tenant systems.
Nurtures collaborative relationships with product and business leaders across Microsoft, influencing strategic decisions and driving business impact through technology. Authors white papers, contributes to internal tools and services, and may publish research to generate intellectual property.
Bridges the gap between researchers (e.g., Microsoft Research) and development teams, applying long-term research to solve immediate product needs. Leads high-stakes negotiations to ensure cutting-edge technologies are applied practically and effectively.
Identifies and solves significant business problems using novel, scalable, and data-driven solutions. Shapes the direction of Microsoft and the broader industry through pioneering product and tooling work.
Mentors applied scientists and data scientists, establishing best practices in experimentation, error analysis, and incident review. Collaborates cross-functionally with PMs, research, infrastructure, and security teams to align on milestones, SLAs, and safety protocols.
Communicates clearly through design documentation, progress updates, and presentations to executives and customers. Contributes to ethics and privacy policies, identifies bias in product development, and proposes mitigation strategies.

Fulltime

Data Scientist - Machine Learning

As a Machine Learning Data Scientist in the Data Team at Catawiki you will focus...

Location

Netherlands , Amsterdam

Salary:

Not provided

Catawiki

Expiration Date

Until further notice

Requirements

3+ years of experience as an all-around data scientist
Comfortable diving into the internals of a model implementation and discussing new opportunities for ML with product stakeholders
Understand and apply standard and widespread ML techniques in your area with little support
Strong quantitative background (statistics, ML, sciences, etc.)
Fluent in Python and capable with SQL
Have deployed ML models in production serving real time responses on a large scale
Able to effectively communicate about your models to a non tech-savvy audience
Demonstrable experience in building robust data products that created value for the company you worked for

Job Responsibility

Building production-ready models that apply machine learning and advanced data science techniques within our product offering by writing robust and scalable code
Finding data science opportunities by exploring our extensive mobile and web data, and applying machine learning and advanced statistics to tackle these real-world business problems
Being pragmatic when needed but also able to go deep into a problem, applying your expert knowledge of machine learning techniques
Working with cross-disciplinary teams involving product owners, developers, UX designers, and business analysts in identifying improvements and new use cases for ML
Deploy scalable models using Kubernetes on cloud infrastructure, producing real-time, asynchronous, and batch predictions

What we offer

Excellent relocation package for people living outside of the Netherlands
Create a Visible Impact by working at scale in a global organisation
Learn and Grow with Us through our Learning & Development initiatives, which include clear development plans and mentorship programmes
A Culture of Connection defines us
Celebrate Life’s Moments with us at Catawiki
Receive a €100 Catavoucher when you join
On each birthday, you'll get a €50 Catavoucher
Enjoy an extra day off each year to "Pursue Your Passion"
Recognise significant work anniversaries (3, 5, 8, 10 years) with additional time off
Extra leave for life’s big moments like marriage, engagements, or moving house

New

Research Scientist Intern, Comms & Language (PhD) Language Research Scientist

Meta is seeking Research Interns to join Fundamental AI Research (FAIR) Multimod...

Location

France , Paris

Salary:

Not provided

Senior/Staff Applied Scientist

Glean is building a world-class Data Organization composed of product data scien...

Location

United States , San Francisco Bay Area; Palo Alto; San Francisco

Salary:

175000.00 - 230000.00 USD / Year

Glean

Expiration Date

Until further notice

Requirements

5+ years of experience as a Masters degree holder
3+ years as a PhD degree holders (Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field)
Strong in statistics and/or machine learning
Experience in applying these skills into tangible improvements in products, internal tools, and processes
Very proficient in Python
Concise and precise in written and verbal communication
Proficient in SQL and the modern data stack
Strong at defining good product KPIs/guardrail metrics, dashboarding and analysis of raw data to derive strategic insights
Experience in B2B SaaS
Experience working on ranking, developing, and maintaining A/B experimentation platforms and/or ML measurement problems

Job Responsibility

Collaborate with product data science and engineering teams to identify techniques, tooling and process improvements in online A/B experimentation
Develop and maintain our A/B experimentation platform
Write code or identify vendors to deploy these techniques to production
End to end evaluation of various hero use cases like document/URL uploads
Breaking down end to end evaluations into more granular evaluation of various tasks & skills
Design, development and ownership of best practices, tools and processes across various evaluation problems

What we offer

Medical, Vision, and Dental coverage
generous time-off policy
opportunity to contribute to your 401k plan
home office improvement stipend
annual education and wellness stipends
vibrant company culture through regular events
healthy lunches daily

Fulltime

Applied Scientist Intern

Microsoft Corporation

Location:
India , Multiple Locations

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 31, 2026

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