data science intern

Airbus

<div>Job Description:
<div>Data Science Intern
 
 
Company:** Airbus India Private Limited
-
 
 
Job Summary
 
 
Airbus India Private Limited is seeking a highly motivated and analytical Data Science Intern to join our innovative team. This internship offers a unique opportunity to gain practical experience in applying data science methodologies to real-world aerospace challenges, contributing to advanced projects that shape the future of aviation.
 
 
Job Responsibilities
 
 
As a Data Science Intern, you will be involved in various aspects of our data science initiatives, including but not limited to:
 
 
<ul><li>Assisting in the collection, cleaning, and pre-processing of large datasets from various sources.
</li><li>Applying statistical analysis and machine learning techniques to extract actionable insights from data.
</li><li>Developing and implementing predictive models to solve complex business problems.
</li><li>Visualizing data and communicating findings effectively to technical and non-technical stakeholders.
</li><li>Collaborating with experienced data scientists and data engineers on ongoing projects.
</li><li>Researching and evaluating new data science tools, techniques, and methodologies.
</li><li>Documenting processes, methodologies, and results for future reference.
</li></ul> 
Job Qualifications
 
 
To be successful in this internship, candidates should possess the following qualifications:
 
 
<ul><li>Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
</li><li>Strong foundational understanding of statistical concepts and machine learning &amp; Deep learning algorithms.
</li><li>Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
</li><li>Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
</li><li>Basic understanding of SQL for data querying and retrieval.
</li><li>Excellent analytical and problem-solving skills.
</li><li>Strong communication and interpersonal skills, with the ability to articulate technical concepts clearly.
</li><li>A keen interest in the aerospace industry and a desire to learn and contribute to cutting-edge projects.
</li><li>Ability to work independently and collaboratively in a fast-paced environment.
</li></ul></div>This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company&rsquo;s success, reputation and sustainable growth.
Company:
Airbus India Private Limited
Employment Type:
Internship
-
Experience Level:
Student
Job Family:
Digital &lt;JF-IM-DI&gt;
<div><div><div><div>By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
 
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com .
</div></div></div></div>At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.</div>

Data Science Intern

FloData Analytics

1. Job Description: Data Science Intern - Generative AI Location: Delhi NCR (On Site) Job Type: Internship (Paid) Duration: 6 months Pre Placement Offer (Based on performance)To Apply pls fill this form - https://forms.gle/4HJeyKEWmSq1Yw6W8We are seeking a Data Science Intern with a keen interest in Generative AI to explore and implement state-of-the-art models. The ideal candidate is curious, creative, and proactive, with strong communication skills to simplify complex concepts. You&rsquo;ll experiment with prompt engineering, AI agents, and cutting-edge AI solutions in a collaborative environment, tackling real-world challenges.Key Responsibilities:<ul><li>Develop and deploy cutting-edge generative AI solutions by leveraging advanced deep learning (DL) and natural language processing (NLP) techniques.</li><li>Construct robust data pipelines to preprocess and analyze large datasets, turning raw data into actionable insights for innovative projects.</li><li>Collaborate with cross-functional teams to integrate AI models&mdash;such as those using transformer architectures and embedding techniques&mdash;into real-world applications.</li></ul>Required Skill<ul><li>Pursuing degree/Graduate in Data Science, Computer Science, Mathematics, or a related field.</li><li>Proficiency in Python for data manipulation, analysis, and visualization, supported by solid SQL expertise.</li><li>Demonstrable experience in DL and NLP (Natural Language Processing), including text preprocessing and modern architectures like transformers.</li><li>Familiarity with advanced AI techniques such as prompt engineering, RAG (Retrieval-Augmented Generation), and LLM (Large Language Models) for creating intelligent AI agents.</li><li>Exposure to innovative frameworks and tools (e.g., LangChain, LamaIndex, Crew AI) along with experience in building interactive applications using web frameworks like Streamlit or Flask.</li></ul>2Job Description: Data Science Intern - Machine Learning Location: Delhi NCR (On Site) Job Type: Internship (Paid) Duration: 6 months Pre Placement Offer (Based on performance) To Apply pls fill this form - https://forms.gle/CTCShfNf9rsHpz2o9We are seeking a Data Science Intern with a keen interest in Machine Learning with strong analytical thinking and a problem-solving mindset. The ideal candidate should be able to work efficiently with structured and unstructured data, demonstrating a willingness to learn new concepts and enhance their technical skills. Good communication skills are essential to effectively present findings and insights. We value self-motivation and the ability to work both independently and collaboratively in a dynamic environment while tackling real-world challenges.Key Responsibilities:<ul><li>Work on classical machine learning projects involving regression, classification, and time series forecasting.</li><li>Perform data cleaning, preprocessing, and exploratory data analysis (EDA).</li><li>Develop and fine-tune ML models, evaluate performance, and optimize for better accuracy.</li><li>Create data visualizations to communicate insights effectively.</li><li>Assist in deploying ML models using Streamlit/Flask (if applicable).</li><li>Collaborate with senior data scientists and contribute to real-world projects.</li></ul>Required Skill<ul><li>Pursuing degree/Graduate in Data Science, Computer Science, Mathematics, or a related field.</li><li>Python: Proficiency in data handling with NumPy and Pandas, and visualization using Matplotlib and Seaborn.</li><li>Statistics: Understanding of descriptive/inferential statistics, probability distributions, and hypothesis testing.</li><li>Machine Learning: Experience implementing supervised (regression, classification) and unsupervised algorithms, along with time series analysis.</li><li>Familiarity with Streamlit/Flask for lightweight model deployment.</li></ul>3 Job Description: Data Science Intern - Computer Vision Location: Delhi NCR (On Site) Job Type: Internship (Paid) Duration: 6 months Pre Placement Offer (Based on performance) To Apply pls fill this form- https://forms.gle/8UkEKBf1qo8rsJCUAWe are seeking a Data Science Intern with a keen interest in Generative AI to explore and implement state of the art models. The ideal candidate can break down complex tasks, optimize models, and adapt to a fast-paced environment. Strong communication skills are essential for collaboration with mentors and peers. A commitment to writing clean code and maintaining thorough documentation is highly valued.Key Responsibilities:<ul><li>Build, fine-tune, and optimize computer vision models for object detection, segmentation, and OCR using TensorFlow/PyTorch.</li><li>Implement data preprocessing pipelines with OpenCV and NumPy to improve model performance.</li><li>Explore transfer learning techniques to adapt pre-trained models for specific applications.</li><li>Collaborate with teams to integrate AI models into applications using Streamlit or Flask.</li><li>Participate in end-to-end projects, from prototyping to deploying solutions via Docker.</li><li>Conduct experiments to benchmark model performance and document insights.</li><li>Contribute to version-controlled codebases using Git for clean and efficient development.</li><li>Stay updated on deep learning trends like YOLO advancements and transformer-based architectures.</li></ul>Required Skill<ul><li>Proficiency in Python with experience in OpenCV, NumPy, and deep learning frameworks like TensorFlow/PyTorch.</li><li>Basic understanding of linear algebra concepts, including vectors and matrices, for image transformations.</li><li>Exposure to deep learning architectures, especially CNNs, for image classification.</li><li>Familiarity with advanced CV techniques like Transfer Learning, YOLO, OCR, or segmentation is a plus.</li><li>Experience with model deployment, lightweight web apps (Streamlit/Flask), or Docker is a plus.</li><li>Basic knowledge of version control tools like Git is beneficial.</li><li>A portfolio showcasing computer vision projects or participation in open-source/hackathons is an advantage.</li></ul>Job Types: Full-time, Internship Contract length: 6 monthsPay: &#8377;10,000.00 - &#8377;15,000.00 per monthWork Location: In person

Bolton & Menk

<div>Bolton &amp; Menk is now accepting applications for our 2026 Data Science internship. We are looking for interns to join our team in our downtown Mankato location. As a Top Workplace, this is a fantastic chance to work with a talented team of AI professionals and make a lasting impact on the communities we serve. With over 75 years of experience, Bolton &amp; Menk specializes in providing community infrastructure solutions across the Midwest, Southeast, and beyond. 
 
 
What You Will Be Doing:

As a Data Science Intern, you will be part of a fast-paced environment, supporting our AI team on projects related to data engineering &amp; data development. You will collaborate closely with data engineers, analysts, and business teams to understand requirements and deliver solutions. As an intern you will also assist with clear documentation of processes, models, and findings for knowledge sharing and reproducibility.

You will gain experience in the following areas:
<ul>
<li>Data Engineering: Assist in designing and maintaining data pipelines, performing ETL processes, and ensuring data quality and integrity.</li>
<li>Data Science: Support development of predictive models, conduct exploratory data analysis, and apply statistical techniques to solve business problems.</li>
<li>Agent Development: Contribute to building and testing generative AI agents and workflows for automation and decision support.</li>
<li>Master Data Management: Help maintain and improve master data governance processes, ensuring consistency and accuracy across systems.</li>
<li>Data Analysis &amp; Visualization: Analyze datasets to identify trends and insights, and create dashboards or reports for stakeholders.</li></ul> 


What We Are Looking for: 
<ul>
<li>Degree Programs: Selected candidates will be currently enrolled in a Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, from an accredited college.</li>
<li>Minimum Cumulative GPA: 2.8 GPA; Desired GPA 3.2 or above</li>
<li>Familiarity with programming languages such as Python, R, or SQL. Basic understanding of data structures, algorithms, and statistical concepts.</li>
<li>Exposure to machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch) is a plus.</li>
<li>Strong analytical and problem-solving skills with attention to detail.</li>
<li>Students must possess a valid driver&rsquo;s license and their own transportation or have ability to use public transportation. You will be reimbursed for business-related travel.</li>
<li>Effective communicator that is excited to work as part of a diverse team</li>
</ul>
Each year we look for variety of experience, education, and ability for our student intern pool. Relocation and housing are not included.

Bolton &amp; Menk will currently not be providing visa sponsorship or Optional Practical Training Extensions for STEM Students. Individuals must be legally authorized to work in the US at the start of employment without a need for current or future visa sponsorship.

Salary Range: $20.00 - $26.00/hour depending on years of experience and credentials

Bolton &amp; Menk is providing the compensation range that the company in good faith believes it might pay and offer for this position, based on the successful applicant&rsquo;s education, experience, knowledge, skills, abilities in addition to specific geographic location. Bolton &amp; Menk reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant&rsquo;s sex or other status protected by local, state, and/or federal law.

Supporting Our Employees

There&rsquo;s life at work and life outside of work. Bolton &amp; Menk has a number of benefit programs and amenities to support you and your family throughout whatever stage of life you are in.

Benefits:
<ul>
<li>Competitive compensation plan - overtime compensation available to most employees</li>
<li>Paid time off (PTO)</li>
</ul>
WHY BOLTON &amp; MENK?
Bolton &amp; Menk, Inc. specializes in providing community infrastructure solutions. Since 1949, we have been committed to improving quality of life through engineering excellence and client satisfaction. From advocating for our communities to designing their dreams to finding funding; we take pride in our work because we live in these same communities. Today, Bolton &amp; Menk has more than 1,000 employees throughout more than 35 locations in Minnesota, Iowa, North Dakota, North Carolina, South Carolina, Wisconsin and Colorado providing services to more than 400 communities and agencies. Learn more about our history here: https://www.bolton-menk.com/about-us/ 
 
 
It is our responsibility and privilege to embrace the diversity of people, thoughts, and experiences necessary to develop infrastructure systems that serve all people. Bolton &amp; Menk, Inc., is an Equal Employment Opportunity / Affirmative Action Employer including disability and vets
Equal Opportunity Employer 
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.</div>

profenaa technologies

We are looking for a motivated and detail-oriented Data Science Intern to join our team. This internship is a great opportunity for someone who wants hands-on experience in data analysis, machine learning, and real-world projects. You will work closely with senior data scientists and engineers to support ongoing analytics and model-building tasks.Key Responsibilities<ul><li>Collect, clean, and organize data from various sources</li><li>Perform exploratory data analysis (EDA)</li><li>Assist in building and testing machine learning models</li><li>Create visualizations to communicate insights</li><li>Prepare reports and presentations for the team</li><li>Support data engineering and automation tasks</li><li>Research new tools, methods, and algorithms</li><li>Work with team members on real business problems</li></ul>Required Qualifications<ul><li>Currently pursuing a Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field</li><li>Basic knowledge of Python or R</li><li>Understanding of data analysis libraries (Pandas, NumPy)</li><li>Familiarity with machine learning concepts</li><li>Basic SQL knowledge (optional but helpful)</li><li>Strong analytical and problem-solving skills</li><li>Good communication and willingness to learn</li></ul>Benefits<ul><li>Internship certificate upon completion</li><li>Hands-on project experience</li><li>Mentorship from experienced data scientists</li><li>Flexible work hours / remote option (if applicable)</li><li>Potential for full-time employment (if offered)</li></ul>Job Types: Permanent, InternshipPay: &#8377;8,086.00 - &#8377;25,545.78 per monthBenefits:<ul><li>Cell phone reimbursement</li><li>Paid sick time</li></ul>Work Location: In person

Crest climber software solution pvt ltd

<ul><li>A data science intern assists experienced data scientists by performing tasks like data cleaning and preprocessing, exploratory data analysis, and creating visualizations to extract insights. They also help build and test basic machine learning models, use statistical tools, and learn to use data science software like Python and R. Internships focus on providing hands-on experience with real-world data, from collection to communicating findings to a team. Core responsibilities</li><li>Data collection and cleaning: Gathering raw data and preparing it for analysis by handling missing values and inconsistencies.</li><li>Exploratory Data Analysis (EDA): Using statistical methods and visualizations to find patterns, correlations, and trends in the data.</li><li>Machine learning: Assisting with building, testing, and evaluating machine learning models under the guidance of senior data scientists.</li><li>Data visualization: Creating charts, dashboards, and reports to present findings in a clear and compelling way.</li><li>Skills and tools</li><li>Programming and tools: Learning and using</li><li>programming languages like Python or R, as well as tools like SQL, Tableau, and Hadoop.</li><li>Statistical analysis: Applying basic statistical techniques to analyze data and draw conclusions.</li><li>Communication: Learning to communicate technical findings to a non-technical audience and working with team members to present results.</li><li>The internship experience</li><li>Real-world projects: Gaining practical experience by working on real datasets and projects that have business value.</li></ul>*<ul><li>Full project lifecycle: Getting exposure to the entire data science workflow, from data collection to delivering final insights.</li><li>Skill development: Building a strong foundation in data science, with the potential for the internship to lead to a full-time role.</li><li>Mentorship: Working under the guidance of experienced professionals who provide support and opportunities for experimentation and learning.</li><li>Tamil candidates only</li></ul>Job Type: Full-timePay: &#8377;8,086.00 - &#8377;25,545.78 per monthBenefits:<ul><li>Food provided</li></ul>Work Location: In person

Clovion Tech Solutions Pvt Limited

Job Title: Data Science InternshipLocation: [Your LocationProgram Type: Training + InternshipDuration: 3&ndash;6 MonthsAbout the ProgramWe are offering a Data Science Internship for students and freshers who want to build a strong foundation in data analysis, machine learning, and real-time project execution.Program Highlights<ul><li>Instructor-led training from basics to advanced concepts</li><li>Practical exposure to Python, Data Analysis, ML Algorithms, SQL, Visualization Tools</li><li>Hands-on real-time projects</li><li>Weekly tasks, assessments, and mentoring</li><li>Guidance from experienced data scientists</li><li>Certificate + Internship Letter after completion</li></ul>Technologies &amp; Tools Covered<ul><li>Python for Data Science</li><li>NumPy, Pandas, Matplotlib, Seaborn</li><li>Machine Learning Algorithms (Supervised &amp; Unsupervised)</li><li>Scikit-Learn</li><li>SQL / MySQL</li><li>Data Preprocessing &amp; Feature Engineering</li><li>Jupyter Notebook</li><li>Power BI / Tableau (optional)</li></ul>Candidate Responsibilities<ul><li>Attend training sessions regularly</li><li>Complete assignments, case studies, and project tasks</li><li>Work on live data science or ML projects</li><li>Submit weekly progress reports</li><li>Maintain discipline and deadlines</li></ul>Eligibility<ul><li>Students or freshers from B.E / B.Tech / BCA / B.Sc / MCA / M.Sc</li><li>Basic understanding of mathematics or programming (preferred)</li><li>Interest in data analysis and ML</li></ul>Benefits After Completion<ul><li>Internship Certificate</li><li>Real-time Project Experience</li></ul>Job Types: Part-time, Fresher, InternshipWork Location: In person

Genmab

<div>At Genmab, we are dedicated to building extra[not]ordinary&reg; futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines&reg; that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals&rsquo; unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees.
Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so.
Does this inspire you and feel like a fit? Then we would love to have you join us!<div>
Job Title</div>
Clinical Development Data Science Intern<div>
Why Genmab</div>
Our internship program provides interns with hands-on experience and relevant projects that directly align with our company&rsquo;s goals. Additionally, we believe our program provides a valuable opportunity to learn, thrive, and build a strong network. We encourage you to review our website to learn why we&rsquo;re always looking for smart, purpose-led candidates to play a role in our bold, extra[not]ordinary&reg; future.<div>
Job Overview</div>
The Clinical Development Data Science Intern will join Genmab&rsquo;s Clinical Development Data Science team and contribute to innovative AI/ML initiatives across the clinical development lifecycle. This role is ideal for a highly technical, impact-driven data scientist who is pursuing a Master's or PhD in a quantitative or computational discipline, and who is excited to apply modern machine learning, natural language processing, and generative AI to real clinical and scientific challenges in oncology.
The intern will support projects such as building AI-powered tools to assist trial design, developing analytics pipelines for clinical and safety data, and prototyping advanced models that help clinicians and scientists make better, faster decisions. You will collaborate with experienced data scientists, data engineers, clinicians, and other cross-functional partners to deliver meaningful analyses, prototypes, and decision-support tools used across clinical development.<div>
What You&rsquo;ll Do
</div><ul><li>Develop machine learning and NLP pipelines to extract, organize, and summarize information from clinical trial protocols, regulatory documents, and unstructured biomedical text.</li><li>
Support the development of AI-driven tools that:<ul><li>
Accelerate protocol design through information retrieval, extraction, and summarization.</li><li>
Enhance pharmacovigilance and safety monitoring through risk modeling, anomaly detection, and severity prediction.</li></ul></li><li>
Apply advanced modeling techniques including transformers, generative models, survival analysis, clustering, and other ML approaches.</li><li>
Experiment with explainability methods (e.g., SHAP, LIME) to improve the interpretability of models used in clinical decision-support contexts.</li><li>
Contribute to documentation, model evaluation, technical reviews, and final presentations to internal stakeholders.</li></ul><div>
Required Qualifications, Capabilities and Skills</div><ul><li>
Sustained progress in a PhD program in a quantitative or computational discipline (Computer Science, Data Science, Statistics, Physics, Computational Chemistry, Computational Biology, Applied Mathematics, Engineering, or related quantitative/technical field).<ul><li>
Master&rsquo;s students with strong applied experience will also be considered.</li></ul></li><li>
Strong proficiency in modern Python for machine learning and scientific computing (e.g., PyTorch/TensorFlow, scikit-learn, spaCy, Hugging Face transformers, pandas, NumPy).<ul><li>
Candidates should be experienced in building modular scripts and reusable modules, command-line utilities, and structured codebases for data processing and machine learning workflows.</li></ul></li><li>
Experience applying ML or NLP methods to real-world datasets.</li><li>
Ability to design, build, and evaluate computational models end-to-end.</li><li>
Excellent analytical problem-solving abilities and intellectual curiosity.</li><li>
Clear written and verbal communication skills.</li><li>
High attention to detail, scientific rigor, and commitment to producing high-quality work.</li><li>
Ability to work independently as well as collaboratively within interdisciplinary teams.</li></ul><div>
Preferred Qualifications, Capabilities and Skills</div><ul><li>
Experience with large language models, retrieval-augmented generation (RAG), or generative AI workflows.</li><li>
Prior work involving unstructured document parsing (e.g., PDFs, scanned text, scientific literature).</li><li>
Full-stack data science skill set, including experience with:<ul><li>
Writing production-quality, modular, and reusable Python code</li><li>
Building scalable, reproducible systems and packaging code for broader use</li><li>
Containerization (e.g., Docker) and reproducible compute environments</li><li>
Workflow or pipeline orchestration tools (Airflow, Prefect, Dagster, etc.)</li><li>
Cloud computing environments (AWS, Azure, GCP)</li></ul></li><li>
Experience using Git repositories and version-control workflows, including:<ul><li>
Branching strategies, pull requests, peer code reviews</li><li>
Good commit hygiene and collaborative development practices</li><li>
Familiarity with GitHub, GitLab, or similar platforms</li></ul></li><li>
Exposure to CI/CD, structured logging, automated testing, or other professional engineering practices.</li><li>
Experience with MLOps concepts such as model packaging, monitoring, reproducibility, and deployment is a strong plus.</li></ul><div>
General Intern Information &ndash; Date/Location/Schedule</div>
Internships will take place June &ndash; August 2026. This role will be based in Princeton, NJ, and operate on a required hybrid schedule &ndash; 3 days in the office and 2 days remote per week.<div>
What&rsquo;s next?</div>
Help us learn about you by submitting a complete and thoughtful application, which includes your resume. Your application and resume are a way for us to initially get to know you, so it&rsquo;s important to complete all relevant questions to ensure we have as much information about you as possible.
Every application matters to us, and we&rsquo;ll carefully review each submission as quickly as possible to see if your qualifications align with the role. While we&rsquo;re unable to provide individual updates, rest assured that we&rsquo;re working diligently to move through the process efficiently.
If you move forward in the process, you&rsquo;ll receive an email invitation to connect with us and dive deeper into this exciting opportunity. The final stage will bring selected candidates meeting directly with our hiring teams, where you&rsquo;ll have the chance to showcase your potential. We are committed to keeping you informed and will share decisions with all candidates as soon as we are able.
We can't wait to see where this journey takes you!<div>
About You</div><ul><li>
You are genuinely passionate about our purpose</li><li>
You bring precision and excellence to all that you do</li><li>
You believe in our rooted-in-science approach to problem-solving</li><li>
You are a generous collaborator who can work in teams with a broad spectrum of backgrounds</li><li>
You take pride in enabling the best work of others on the team</li><li>
You can grapple with the unknown and be innovative</li><li>
You have experience working in a fast-growing, dynamic company (or a strong desire to)</li><li>
You work hard and are not afraid to have a little fun while you do so!</li></ul><div>
Locations</div>
Genmab maximizes the efficiency of an agile working environment, when possible, for the betterment of employee work-life balance. Our offices are crafted as open, community-based spaces that work to connect employees while being immersed in our powerful laboratories. Whether you&rsquo;re in one of our office spaces or working remotely, we thrive on connecting with each other to innovate.<div>
About Genmab</div>
Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab&rsquo;s vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO&reg;) antibody medicines.
Established in 1999, Genmab is headquartered in Copenhagen, Denmark with international presence across North America, Europe and Asia Pacific. For more information, please visit Genmab.com and follow us on LinkedIn and X.
Genmab is committed to protecting your personal data and privacy. Please see our privacy policy for handling your data in connection with your application on our website Job Applicant Privacy Notice (genmab.com).</div>

Clinical Development Data Science Intern

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