22 data analyst data scientist intern jobs found

What's the role? Join our team in Corporate Quality Department developing new analysis methods to continuously improve our products and services. You will be working on new data analysis approaches and collaborate with the global quality experts and cross functional teams. You will have the opportunity to broaden your knowledge and implement applications in practice. Start date is flexible to the student's availability, duration for at least 6 months. Who is Hilti? For the sixth time in the past 11 years, Hilti has been named one of the best employers by Great Place to Work. What began as a family business in 1941, founded by brothers Eugene and Martin Hilti, has become a leading industry player with over 120 locations worldwide and a workforce of more than 32,000 colleagues. Our incredible journey, from humble beginnings to a global powerhouse, is a shining example of the rewards of a hard-working and dedicated team. At Hilti, we provide leading-edge tools,...

If you need assistance during the recruiting process due to a disability, please reach out to our Recruiting Accommodations Team through the Accommodation Request   form . This form is used only by individuals with disabilities who require assistance or adjustments in applying and interviewing for a job. This form is not for inquiring about a position or the status of an application. Data Scientist III, Analytics Do you want to work in a best-in-class analytics team that has access to cutting-edge tools and technology? Are you looking for a diverse international team to work with? Are you looking to move into a business that offers a wide range of developing career paths for you? We need curious, data driven analytical thinkers with a relentless drive for learning and improvement to join our rapidly growing team. What you'll do: You will drive the analytics stream for the Lodging Strategic Partners team Partner with Lodging Strategic Partners...

Generative AI Data Engineer (w/m/d) Data Science & Analytics   /   Zurich / Bern   /   Experienced   /   Permanent   /   80 - 100% As a data engineer in the area of ​​unstructured data, you are part of a new agile artificial intelligence team that conceptualizes, develops and operationalizes innovative AI solutions for knowledge management based on LLMs and other AI tools for furniture. This is what you do for us Together with your team, you will build skills for AI-supported knowledge management and implement them in concrete applications.   Your expertise in the area of ​​unstructured data and cloud technologies helps the team obtain, structure and index data in order to extract the desired information from it. You work in an interdisciplinary Scrum team consisting of data scientists, a software engineer and a business analyst.   The team is responsible for data acquisition and for the development, implementation and operation of the...

Pays Suisse Workplace GENEVE-WTC1(CHE) Employer company TotalEnergies Gas & Power Ltd Domaine Business Economy Strategy Lieu Switzerland Type of employment CDI Experience Minimum 6 years Candidate profile You are university educated to at least master’s degree in a mathematical subject. You have a minimum of 5 years of experience in a position with a highly quantitative component, ideally gained while working on a trading floor. You are passionate about electricity markets and have acquired a relevant experience in the field Strong coding skills in Python (OOP) with proficiency in common libraries for data science Good knowledge of database technologies (PostgreSQL, MongoDB). Proficiency in machine learning and linear optimization techniques. Ability to write transferrable code that adheres to best practices Experience working with data...

DMPK/PD Data Scientist   (f/m/d)   – pharmacokinetic /   Phyton   / R / GMP / SQL Project: For our customer a big pharmaceutical company in Basel we are looking for a highly qualified DMPK/PD Data Scientist Background: The department Translational PKPD & Clinical Pharmacology (PNK) is looking for a candidate to support non-clinical PK and PKPD studies. The person will support front- and back-end IT infrastructure related to planning, execution, analysis, and database curation of non-clinical pharmacokinetic (PK) and pharmacokinetic-pharmacodynamic (PKPD) studies. The perfect candidate: Has an academic Degree, preferable MSc. or PhD degree in life science, computer science, mathematics, or statistics, preferably with industry experience and knowledge in one or more of the following areas: programming (e.g. Python, R, C++, Java, SQL), machine learning, chemoinformatics, computational chemistry, biology, or toxicology. Tasks & Responsibilities...

The Reality Labs (RL) Research Team brings together a world-class team of researchers,developers, and engineers to create the future of AR and VR, which together will become asuniversal and essential as smartphones and personal computers are today. The Gemini teamis looking for research interns to tackle the most ambitious problems in the creation ofphotorealistic digital humans.In this internship, you will build upon cutting edge research from both academia andindustry. You will work with a team that is trying to leverage the best rendering technologyand the latest in image-to-image transformation machine learning techniques and use themto build new ways of performance capture and real-time, photorealistic avatars that can beplaced in any environment.Our internships are twelve (12) to sixteen (16) to twenty four (24) weeks long and we havevarious start dates throughout the year. Research Scientist Intern, Generative AI, Digital Humans (PhD) Responsibilities: Research,...

Your mission What could you build on top of real-time and non-invasive Glucose monitoring? That is what Spiden is all about, and we want to beat Apple on it: https://www.handelsblatt.com/unternehmen/industrie/start-up-check-schweizer-start-up-spiden-will-apple-bei-blutzucker-technik-ueberholen/29293274.html Machine learning, personalized health, and predictive medicine. If these areas resonate with you, join us to work on foundational technologic and scientific challenges at Spiden. We are a Swiss MedTech venture with the vision to use state-of-the-art detection techniques to continuously monitor and learn from a wide range of vital indicators, to better manage chronic diseases, to customize critical treatments and, to improve your health. Using proprietary optical sensors, Spiden is building a cutting-edge biomedical data generation pipeline to train medical-grade Machine Learning algorithms to infer glucose transcutaneously from spectral measurements. To achieve our...

Proclinical are recruiting for a Senior Data Engineer to join a biotech organisation. This role is on a permanent basis located in Oensingen with the possibility to work remotely. Responsibilities: Produce data tools for analytics and data scientist team members that support them in forming and optimising the company's product into a novel industry leader. You will gather large, multifaceted data sets that meet functional/non-functional business needs. From analytics tools that utilise the data pipeline to offer actional acumens into customer acquisition, operational effectiveness and any other key business performance metrics. Recognise systems and procedures that improve effectiveness and assist with greater access to meaningful data that key shareholders during the organisation. Discover ways to guarantee clean data and reduce risk of data breaches or fraud. Collaborate with shareholders which involves executive, product, data and marketing...

For our client, a well-known pharmaceutical company in Basel, an experienced DMPK/PD Data Scientist (m/f/d). Background Has an academic Degree, preferable MSc. or PhD degree in life science, computer science, mathematics, or statistics, preferably with industry experience and knowledge in one or more of the following areas: programming (e.g. Python, R, C++, Java, SQL), machine learning, chemoinformatics, computational chemistry, biology, or toxicology. General Information Start date: ASAP latest Start Date: 01.02.2024 Duration: 1 year Extension (in case of limitation): very likely Workplace: Basel Workload: 80-100% Home Office: up to 2 days per week Tasks & Responsibilities Support of non-clinical PK and PKPD studies Support front- and back-end IT infrastructure related to planning, execution, analysis, and database curation of non-clinical pharmacokinetic (PK) and...

Data Scientist For our leading Pharma client located in the Basel area, we are currently looking for a Data Scientist Tasks & Responsibilities: Support of non-clinical and studies. Support front- and back-end IT infrastructure related to planning, execution, analysis, and database curation of non-clinical pharmacokinetic and pharmacokinetic-pharmacodynamic studies. Development of standardized protocols with external collaborators (CROs) to reduce turnaround time. Validation of external reports in collaboration with internal stakeholders and study monitors. Support tools and work as customer representative for automated data analysis and prediction tools such as integrated high throughput models. Integration of available in vitro and in vivo non-clinical data. Integration and visualization of available data within databases and maintenance of software used by drug discovery teams (e.g. D360, Spotfire). Liaise data analysis workflows with other...

Switzerland, Visp Today, Lonza is a global leader in life sciences operating across three continents. While we work in science, there’s no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that’s the kind of work we want to be part of. Lonza in Visp is undergoing a massive transformation. With the carve-out of Arxada and the strong growth especially in Biologics the focus of the site is moving from Chemistry to Biotech. Moreover there is a constant challenge to increase efficiency following lean principles. The services and infrastructure provided by the Shared Infrastructure teams need to be regularly reviewed to ensure they are fit for purpose, addressing the requirements of the Divisions in line with benchmarks and best practice. The intern in...

The company: Cognex is a global leader in the exciting and growing field of machine vision. Our employees, proudly called “Cognoids”, are passionate about solving the most difficult vision problems with our embedded cameras and software products featuring state-of-the-art 2D and 3D vision technology using deep learning. Our Work Hard, Play Hard, Move Fast culture recognizes achievement and dedication with unique rewards and celebrations. We are looking for creative, bright, motivated Cognoids who share our passion for excellence and want to make an impact at a dynamic, global company. We celebrate our employees for their innovation, perseverance, and hard work in a fun, rewarding, and quirky environment. If you enjoy the sense of accomplishment that comes from working together to create products that solve tough problems for organizations around the world, contact us to see how you can become part of our team! The Team: Deep Learning...

Please note this internship opportunity is for 6 months full-time and   to be eligible you must be doing an MBA program during 2024. About Abbott At Abbott, we’re dedicated to helping people live more fully, in everything we do. We’re creating the future of healthcare through life-changing technologies and products that make you healthier and stronger, quickly identify when you have a medical need, and treat conditions to help you get back to doing what you love. With headquarters in north suburban Chicago, we serve people in more than 160 countries with leading medical devices, diagnostics, nutrition products and branded generic medicines. Our 115,000 colleagues are helping millions of people to live better and healthier, every day around the world. The Opportunity This position works out of our Established Pharmaceuticals Division (EPD) that is focused on growing portfolio of high-quality, affordable, branded generic medicines that been...

The company: Cognex is a global leader in the exciting and growing field of machine vision. Our employees, proudly called “Cognoids”, are passionate about solving the most difficult vision problems with our embedded cameras and software products featuring state-of-the-art 2D and 3D vision technology using deep learning. Our Work Hard, Play Hard, Move Fast culture recognizes achievement and dedication with unique rewards and celebrations. We are looking for creative, bright, motivated Cognoids who share our passion for excellence and want to make an impact at a dynamic, global company. We celebrate our employees for their innovation, perseverance, and hard work in a fun, rewarding, and quirky environment. If you enjoy the sense of accomplishment that comes from working together to create products that solve tough problems for organizations around the world, contact us to see how you can become part of our team! The Team: Deep Learning...

Intern Abteilung: Data, Analytics & Technology Company description At Datahouse we analyze complex data sets and develop innovative software solutions for our B2B customers.   In the area of ​​data science, we combine statistics and software development skills and thus create relevant added value for our customers.   In our interdisciplinary team, we develop tailor-made solutions for the financial and real estate sectors, the healthcare sector and the public sector. Job Description Your team and mission In our multidisciplinary team, you will work side by side with experienced software engineers and data scientists to develop tailor-made data and software solutions.   With us you can expect a dynamic environment with flat hierarchies and open communication in which you can take on responsibility and influence. Your tasks Are you currently completing your studies or are you gearing your career towards data science?   Then Datahouse...

As the Data & Analytics Directorate, we create added value from data together with our partners from the Migros Group.   The Analytics Consulting team supports the business goals of various company areas (strategy, marketing, HR, finance, etc.) and answers complex questions by cleverly combining classic statistical and machine learning methods. workplace Migros Cooperative Association Group IT Limmatplatz Limmatplatz 46 8005 Zurich calculate route What you move Structured transfer of strategic business questions into implementable data science projects in close collaboration with internal customers from the Migros Group Independently carrying out data science projects using modern open-source technologies and classic statistical and machine learning methods Creating tangible business added value by generating, visualizing and communicating actionable insights from...

Reference Code: 96482 Internship R&I - Environmental Data Scientist Intern Richemont Neuchâtel, NE, CH Trainee/Intern Richemont owns some of the world’s leading luxury goods Maisons, with particular strengths in jewellery, fine watches and premium accessories. Each Maison represents a proud tradition of style, quality and craftsmanship and Richemont seeks to preserve the heritage and identity of each of its Maisons. At the same time, we are committed to innovation and designing new products which are in keeping with our Maisons’ values, through a process of continuous creativity. MISSION We are offering a 6-month intership starting in February 2024. In this role, you will be in charge of supporting the teams in the development of internal tools related to Life Cycle Assessment (LCA). RESPONSABILITIES You will work with the Richemont Research & Innovation Sustainability team &...

383289BR Data Scientist, Diseases of Aging and Regenerative Medicines Switzerland About the role Location: Basel, Switzerland. We are seeking a dedicated, creative, and skilled data scientist to join our global, dynamic, agile, embedded ‘dry-lab’ research environment and enable the discovery of therapeutic targets and new medicines for diseases of aging. As part of the Disease of Aging and Regenerative Medicine (DARe) Data Science team, you will have the opportunity to drive the integration and mining of high dimensional biological data using internal and external data resources. As a member of the NIBR data science community, you will also benefit from a >200 people global community with extensive know how and resources in data analysis, data engineering and machine learning. Key responsibilities: Conduct data extraction, curation, integration, and mining of multi-modal high dimensional biological data to provide actionable insights....