Lilly promotes experimentation and innovation, giving staff members the chance to collaborate on cutting-edge projects.

Lilly Job Details:

Lilly, a data scientist intern
Title: Intern in Data Science

Location: Bengaluru’s LCCI

Master’s or PhD degree in information science, electronics, or a related engineering or analytical subject is required.

Important Links:

What We’re Looking For:

We’re looking for highly driven people who can help Lilly with the design, development, and upkeep of analytics-related products.

You will investigate, learn, assess, create, investigate, and put into practice cutting-edge IT systems utilizing contemporary technology in this position.

Candidates that are willing to learn, passionate about innovation and experimentation, and fearless in the face of failure are highly valued.

Your curiosity should be fueled by a desire to learn new things all the time and a willingness to investigate any software-related IT technology, particularly in the fields of mathematics, computer science, data analytics, and computer engineering.

It is very ideal to have experience in computer vision, deep learning, natural language processing (NLP), machine learning, or similar fields.

Desired Qualifications:

• research expertise in data science, computer vision, machine learning, deep learning, or natural language processing.
• Previous work accepted for publication or presented at conferences such as CVPR, ICML, NIPS, KDD, or ICASSP.
• strong critical thinking, analytical, and attention to detail abilities.
• Outstanding interpersonal abilities, including the capacity to cooperate with colleagues who are spread out across different countries and teams.
• The capacity to generate new ideas fast, communicate them to the relevant community, construct prototypes, and improve them into finished goods.
• able to operate both independently and cooperatively in a multicultural team setting.

Prospects:

• Take on tasks that are essential to Lilly’s success in order to get experience with cutting-edge technologies and full-stack software engineering difficulties.
• Work together with a seasoned advanced analytics team to tackle challenging issues in their field.
• Interact with and pick the brains of seasoned data scientists at the Advanced Analytics department.
• Gain expertise in the pharmaceutical sector while utilizing state-of-the-art technologies and allotting sufficient time for education and career advancement.

Why Do You Want to Join Lilly?

Innovative collaborate Environment: Lilly promotes experimentation and innovation, giving staff members the chance to collaborate on cutting-edge projects.

Cutting-Edge Technologies: While helping to create significant healthcare solutions, you’ll have practical expertise with AI, data science, and sophisticated machine learning techniques.

Career Growth: Lilly’s global reach provides great chances for career progression and exposure to international teams and industry leaders.

Real-World Impact: Engage in projects that directly advance medication research and patient care, as these endeavors have a significant impact on the medical field.

Professional Development: Lilly makes investments in the advancement of its workers by providing access to cutting-edge analytics tools and mentoring programs, guaranteeing lifelong development.

Advantages of Becoming a Data Scientist Intern at Lilly:

Gain practical experience utilizing cutting-edge technologies such as deep learning, machine learning, and natural language processing. You’ll play a part in creating and managing cutting-edge analytics products that stretch the limits of data science.

• Exposure to the Pharmaceutical Sector: Working with Lilly gives you the chance to apply data science to practical issues in the pharmaceutical sector and obtain knowledge about the potential effects of data analytics on medication development and healthcare.
• Working with Experts: Gain valuable knowledge and experience in data science approaches and best practices by collaborating with Lilly’s Advanced Analytics team and seasoned data scientists.
• Learning and Innovation: As part of your job, you’ll have the opportunity to explore and invent. You’ll be pushed to create new concepts, construct working prototypes, and refine them into finished goods. Lilly promotes a culture of inquiry and never-ending learning.
• Professional Development: Attend premier conferences such as CVPR, ICML, and NIPS, stay up to date on the newest developments in AI, deep learning, and computer vision, and hone your abilities under the guidance of business experts.
• Work in a varied and inclusive atmosphere while collaborating with international teams in a multicultural setting. This experience improves your interpersonal and technical skills.
• Work-Life Balance: In addition to your professional obligations, Lilily advocates for a good work-life balance, making sure you have time for personal development and education.
• Competitive Stipend: You can anticipate a competitive internship package worth INR 3.1 to 3.5 LPA in addition to the priceless chance to launch your data science career in a top healthcare and technology organization.

Frequently Asked Questions

What credentials are needed to apply for the position of Data Scientist Intern?
It is necessary to have a Master’s or PhD in information science, computer science, electronics, or a related discipline.

Which technical abilities are necessary for this position?
competence in machine learning, deep learning, NLP, and Python. It’s also helpful to be familiar with programs like PyTorch, OpenAPI, and Google TensorFlow.

What kind of pay is anticipated for this internship?
This position is expected to pay between INR 3.1 and 3.5 LPA.

What kinds of tasks will I perform?
Interns will work on AI-driven and data-analytics projects with a focus on cutting-edge pharmaceutical advances. Projects could involve everything from creating AI models to using data science methods to tackle challenging issues in healthcare.

What kind of culture does Lilly employ?
Lilly encourages innovation, ongoing learning, and personal and professional development in a creative and inclusive work environment.

After the internship, is there a chance to convert to a full-time position?
Interns may have the chance to advance into full-time careers based on their performance and the availability of openings.

Advice & Techniques for Applying to Lilly

Customize Your Resume: Make sure that your resume emphasizes relevant experience and talents, such as machine learning, Python programming, and working on AI projects. Mention any published research articles or technological advancements in AI or data science.

Display Your AI Proficiency: In both your application and the interview process, highlight assignments or coursework pertaining to machine learning, deep learning, or natural language processing. Don’t forget to describe the technology being used as well as your part in the project.

Get Ready for Technical Interviews: Anticipate coding challenges and data science and AI-focused problem-solving exercises. Refresh your knowledge of Python, statistics, and algorithms. Get acquainted with TensorFlow, PyTorch, and AWS.

Resume Keywords for Lilly Data Scientist Internship

• Python Programming
• Machine Learning (ML)
• Deep Learning (DL)
• Natural Language Processing (NLP)
• Data Analytics
• TensorFlow
• PyTorch
• OpenAPI
• AI Models
• Cloud Computing (AWS/GCP)
• AI/ML Infrastructure
• Data Science Research
• Statistical Modeling
• Problem Solving
• Collaboration
• Critical Thinking
• Software Development Life Cycle (SDLC)
• Big Data Analytics
• Data-Driven Decision Making

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