Machine Learning Intern
Who we are
You. Better. With Alan.
Alan's vision is to make prevention the new norm of care for all. Our mission is to help people live in good health to 100 while helping employers feel proud, turning health benefits from a cost centre into their most valuable investment.
We're building a vertically integrated health partner that seamlessly unites insurance and smart healthcare delivery into one system.
By connecting all aspects of care - private, public, and direct to consumer - we create the most member-centric healthcare experience. Through deep engagement, we empower everyone to overcome day-to-day health obstacles and live healthier lives.
We partner with 32,000+ companies of all sizes, serving more than 700K members, and have reached €500M+ in ARR.
Our team of 600 people (still growing) operates across France , Spain , Belgium , and Canada .
How we do it ?
People joining Alan are always surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work, such as:
Members first. We put our members first, our team second, our shareholders third.
Radical Transparency. We make all choices in writing and adopt a direct and honest style of communication.
Personal & Team Growth. We are self-improving whilst helping others grow. We’re no ego-doers and we all edit the company.
Distributed Ownership. We trust our colleagues to make the right choices. We are not afraid to fail fast individually to learn collectively in the long run.
Fearless ambition. We shoot for the moon and work backwards. We focus on solving complex problems with simple principles far from ready made ideas. We embrace AI to increase our productivity and be at the forefront of technological changes.
⭐️ The Data Team ⭐️
Being part of Alan's data team means you'll have a positive impact on people's health and wellbeing. We create insights to help our colleagues focus on what is most impactful. We build features and tools powered by data that directly help our members. Examples include: going deep into health consumption patterns, understanding our product usage, creating visibility to help our sales team perform, automating how we reimburse our members, building reminders that help our members stay healthy...
We believe in having a full stack approach. Each one of us contributes to all 3 aspects of the data spectrum (analytics, engineering, science). This encourages strong ownership and drives impact.
We own our infrastructure. We pride ourselves on a nimble data stack that gives us the flexibility we need. We're mainly using SQL, Python, R, Airflow, Snowflake, and Metabase. We build in-house tooling to organize our data and serve it to the rest of the company.
For more information and some examples, you can read the following articles:
Vision for a data team
How to price any health insurance product
Machine learning at Alan
The internship
We are seeking an exceptional Data Science Intern to join our team for a minimum of 6 months. You will get a chance to make a tangible impact on the healthcare industry and potentially secure a future with Alan.
You would be joining the Insurance Offer team, which focuses on innovating on our health insurance products.. Your objective will be to harness the latest advancements in AI technology to address critical questions such as:
[NLP] Can LLMs extract and structure legal requirements out of Conventions Collectives Nationales?
[Risk Assessment] Can a fully machine learning driven approach surpass our existing pricing automation?
Each topic has the potential to be integrated in Alan’s products. You will get a chance to own this part as well after developing a convincing prototype.
Arnaud Buisson and Stéphane Soulier will be there to mentor and assist you throughout your internship at Alan, ensuring you have the guidance and resources needed to succeed.
⭐️ Expected skills and abilities ⭐️
You would thrive at Alan in this internship if most of this sounds like you:
Passionate about owning ambitious problems and developing simple solutions for them
Strong foundations in Statistics and Machine-Learning
Proficient in Python and/or R. SQL is highly appreciated as well
Setting a high standard of rigor and precision for yourself, interested in your craft
Great listening and communication skills
Humble, kind, collaborative, and still willing to grow
Fluent and clear in English, both oral and written (no need to speak French!)
Perks & Benefits
At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
Therefore, we offer:
Fair rewards. Generous equity packages complement your base salary, for permanent contracts only.
Flexible Office. Amazing office space at our HQ, sponsored co-working hubs or a full-remote experience with home office equipment sponsorship, we want you to live where you’re the happiest.
All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and Bose noise-canceling headphones.
Flexible vacation policy and flexible working hours. Organize your time as you wish.
Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only).
Transport. Country-specific commuter benefits.
Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises.
Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture.
Parental leave. Extended parental leave for all new parents, for permanent contracts only.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist.
We'll be thrilled to receive your application!
Check out our About Alan and Career pages, as well as our Medium, blog and Glassdoor page for more info.
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