EssilorLuxottica Asia Pacific Pte Ltd – BoP Innovation Intern

Company
EssilorLuxottica Asia Pacific Pte Ltd
essilor.com
Designation
BoP Innovation Intern
Date Listed
21 May 2024
Job Type
Entry Level / Junior Executive
Intern/TS
Job Period
From Jun 2024, For At Least 4 Months
Profession
Consulting
Industry
Manufacturing General / Biomedical / Pharmaceutical
Location Name
201 Kallang Bahru, Singapore
Address
201 Kallang Bahru, Singapore 339338
Map
Allowance / Remuneration
$1,500 monthly
Company Profile

WHO WE ARE

We are EssilorLuxottica, a global leader in the design, manufacture and distribution of ophthalmic lenses, frames and sunglasses. The Company brings together the complementary expertise of two industry pioneers, one in advanced lens technologies and the other in the craftsmanship of iconic eyewear, to create a vertically integrated business that is uniquely positioned to address the world’s evolving vision needs and the global demand of a growing eyewear industry.


With over 200,000 dedicated employees in 150 countries driving our iconic brands, our people are creative, entrepreneurial and celebrated for their unique perspectives and individuality. Committed to vision, we enable people to “see more and be more” thanks to our innovative designs and lens technologies, exceptional quality and cutting-edge processing methods. Every day we impact the lives of millions by changing the way people see the world.

Job Description

JOB SCOPE AND MAIN RESPONSIBILITIES:

BoP Innovation Intern (Digital)

The Base of Pyramid (BoP) Innovation Lab incubates sustainable programming models and forms strategic partnerships across the public, private and non-profit sectors to accelerate access to vision care for underserved communities around the world. Digital technology has been identified as an enabler that can be leveraged to achieve our mission, and the Lab is partnering with several startups, educational institutions and corporates to test new technological solutions and identify relevant use cases.

Essential Expected Results:

  • Work on data science & AI / machine learning projects, e.g. LLM chatbot, personalization, recommendations system, predictive models, etc. Candidate will be responsible for end-to-end machine learning projects such as data exploration, offline experimentation, model development, evaluation, productionisation and online experimentation (A/B testing).
  • Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies to create awareness of poor vision at scale to millions of people
  • Work with large and complex data sets to solve a wide range of challenging problems using different analytical and statistical approaches.
  • Build and maintain an end-to-end ML pipeline. Follow engineering best practices to productionize ML model to be integrated with existing solutions
  • Identify, understand, and test opportunities and levers to improve the solutions, and drive roadmaps through insights and recommendations.
  • Strive to keep up-to-date with the latest AI technologies, frameworks and best practices
  • Conduct research and analysis of emerging digital technologies and their potential applications to improve awareness of and access to vision care for underserved communities in our context.
  • Support the development of our 3D digital twins and metaverse platform that will help in educating stakeholders and generating market awareness
  • Conceptualize, develop and test innovative solutions that leverage digital technology to improve vision care access for underserved communities.

Challenges:

  • Navigating a fast-paced and constantly evolving area of technology
  • Balancing the need for innovative solutions with the need for practical, implementable interventions.

Main Success Factors:

  • Demonstrated ability to conduct rigorous research and analysis of emerging digital technologies and their potential applications in vision care.
  • Strong conceptualization skills, with the ability to develop innovative solutions to complex problems.
  • Proven ability to collaborate effectively with diverse stakeholders across public, private and non-profit sectors.
  • Experience with testing and scaling digital solutions in a real-world setting.
  • Ability to work independently and deliver high-quality outputs on time.


AREAS OF RESPONSIBILITIES AND RELATED ACTIVITIES: 

  • Project Management
  • Manage ongoing digital projects for the Innovation Lab and its stakeholders, including but not limited to data science & AI/ML projects, as well as metaverse projects
  • Support the development, running and evaluation of pilots in developing markets
  • Market Research
  • Conduct rigorous and regular market research to keep abreast of the latest developments in the digital/ healthcare space, and identify potential use cases that could help us to advance our mission
  • Partnerships
  • Support the Manager to manage relationships with existing partners for existing projects, including vendors, NGOs, corporates or ecosystem partners
  • Support the Manager to maintain relationships with key internal stakeholders in the context of projects and collaborations
  • Helping to scan for and identify potential suitable partners to collaborate with in the field of innovation

 

KEY REQUIREMENTS:

  • Currently studying with Business/ Information Systems (major of studies)
  • Analytical ability and passion, business oriented
  • Good hands-on skills & experiences in Python
  • Good knowledge of Machine Learning (model development, model selection, fine-tuning, feature engineering, NLP, etc). Knowledge & experience in LLM / Gen AI is a plus.
  • Hands-on experience in a few Machine Learning / Deep Learning models, Pandas, Git
  • Strong project management skills/ability to work on multiple topics concurrently under tight deadlines
  • Reliable, autonomous, precise, good organization & communication skills
  • Entrepreneurial self-starter with a positive and proactive attitude
  • Strong interest in the areas of Digital Innovation, Tech and Web3.0
  • Superior analytical skills
Application Instructions
Please apply for this position by submitting your text CV using InternSG and send a copy of your updated resume to with indication of your available period for full time internship.
Kindly note that only shortlisted candidates will be notified.

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