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.

Senior Applied Scientist - Microsoft Word Copilot

Come join Microsoft Word Copilot to work on state-of-the-art services, AI soluti...

Location

Serbia , Belgrade

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

BSc in Computer Science, Electrical Engineering, Mathematics, or related disciplines or equivalent industry experience
Proficiency with Python and experience with one or more other programming languages including, but not limited to Type Script, JavaScript, C/C++
Strong software engineering fundamentals, including coding, software design, problem solving, and data analysis skills
2+ years of experience in Natural Language Processing (NLP) and Generative AI
3+ years’ experience designing and shipping ML-powered systems across the product lifecycle
Experience with guiding or mentoring applied scientists or engineers
Ability to thrive in collaborative, fast-moving, and ambiguous environments
Demonstrated growth mindset and passion for AI innovation

Job Responsibility

Drive intelligent experiences, projects, and open-ended problems through their entire lifecycle from ideation through implementation, experimentation and finally to world-wide availability
Develop, adapt and deploy Generative AI and deep learning models in real-world product scenarios
Demonstrate rigor in key scientific procedures in AI based development process, including data, training, prompt engineering and evaluation methodologies
Define and implement robust evaluation frameworks and metrics, in partnership with product teams, to measure the quality of a wide range of AI features and inform decision-making and the design of AI-powered experiences
Lead experimentation through offline evaluation and A/B testing to measure user and business impact
Collaborate with other research and engineering teams to adopt and advance state-of-the-art technologies
Follow strong engineering and documentation practices
participate actively in code reviews, bug/issue triage with the feature teams, and support well informed decisions towards business goals
Foster a healthy and inclusive team environment
provide technical leadership and mentorship to other applied scientists

Fulltime

New

Associate Research Scientist (Applied AI)

In the context of the International Consortium for Scientific Computing (ICOMP),...

Location

Italy , Trieste

Salary:

72747.00 EUR / Year

UNESCO

Expiration Date

May 27, 2026

Requirements

Advanced university degree (PhD or equivalent) in Physics, Computer Sciences, Mathematics, or related disciplines
At least 2 years of relevant professional experience in Applied AI and advanced parallel programming, preferably in an international environment, and familiarity with large-scale computational infrastructures
Ability to work quickly and efficiently under pressure, with minimum supervision, and to sustain periods with workload peaks
Discretion and capacity to deal efficiently and tactfully with visitors and staff members of different nationalities and cultural backgrounds
Excellent Innovational and Technological Awareness skills
Documented record of excellence in research, teaching, and organization of advanced training events
Strong analytical and organizational skills
demonstrated ability to work effectively in a multidisciplinary and multicultural environment
Excellent communication skills
Excellent knowledge (spoken and written) of English

Job Responsibility

Undertake front line research in Applied AI
Contribute to the development and implementation of research projects related to Applied AI, including applying to and managing individual research grants
Provide guidance and mentoring to students and post-doctoral fellows and guidance to any Associates, visitors or fellows that collaborate on these research projects and serve as their scientific supervisor as needed
Report on the results of the research at major international meetings
Establish collaborations with scientists from developing countries and identify their scientific needs in areas related to Applied AI
Formulate appropriate recommendations for incorporation within ICTP programmes
Organize and contribute to ICTP seminars, schools, workshops, conferences in Applied AI or in closely related fields, either at the ICTP or in developing countries
Provide technical expertise to the MHPC Scientific Council, coordinate the MHPC curricula of all courses related to applied AI
Assist the ICTP scientists and the ICTP scientific community on issues related to Applied AI and efficient deployment of AI workflows
Collaborate with ICTP scientists in the preparation of research grant proposals, providing the relevant input with respect to large scale data analysis and machine learning methods

What we offer

30 days annual leave
family allowance
medical insurance
pension plan

Fulltime

Senior Applied Scientist

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 4+ 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 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate 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 equivalent experience
Demonstrated expertise in information retrieval, with publications in top-tier conferences or journals such as NeurIPS, ICML, ICLR, SIGIR, or ACL
Hands-on experience in Advanced AI Technology development, including pretraining, supervised fine-tuning (SFT), and reinforcement learning (RL)
Proven track record in optimizing LLM inference, or active contributions to open-source frameworks like vLLM, SGLang, or related projects
Minimum of 4 years of hands-on experience designing and building search, retrieval, or ranking systems
Proven track record of shipping 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