We're Beauty Pie. We're the world's first luxury beauty and wellness buyers' club. And we're disrupting the beauty industry, one face cream at a time.

Before we arrived on the scene, if you wanted really great beauty products, you had to shop at traditional beauty retail - and overpay for all the crazy markups. Now, our members have access to shop from the best-quality beauty and wellness products (from the leading labs in France, Switzerland, Italy, Germany, Japan, Korea, etc) and get a bigger piece of the Beauty Pie.

So What Will You Be Doing?

As a Machine Learning Specialist, you'll work with stakeholders to define impactful opportunities, prioritize tasks, and deliver high-quality ML solutions aligned with business strategy. Key responsibilities include:

• Problem Definition & Scoping:Collaborate with stakeholders to identify high-impact opportunities, reviewing academic and industry insights for informed decision-making.
• Data Discovery & Preparation:Partner with Analytics Engineers to clean and transform data.
• Model Development:Apply advanced algorithms to optimize model performance.
• Deployment:Design and implement pipelines to integrate models into production.
• Monitoring & Optimization:Continuously track and improve model accuracy.

This role sits within the central data function, which includes data engineering, experimentation, insight analytics, and machine learning. You'll report to the VP of Data & AI and work cross-functionally to deliver impactful solutions that drive business growth.

Key Expectations:

• Engage stakeholders to identify high-impact ML opportunities and maintain strong relationships.
• Design and maintain ML products to solve critical business problems.
• Recommend and integrate off-the-shelf solutions for personalization.
• Build and manage an ML platform (AWS, Snowflake) and promote adoption of ML across the organization.

We believe it's all about mindset, great skills, the right attitude and a fantastic work ethic. If you're aligned to our values, excited about the opportunity, and you're really good at what you do (even if you don't tick all the boxes) apply anyway!

Minimum Requirements:

• 4+ years of experience in a dedicated Machine Learning or hybrid Data Science and Machine Learning role.
• Strong understanding of mathematical background, focusing on statistics and linear algebra.
• Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL.
• Strong understanding of machine learning algorithms and best practices, including Deep Learning frameworks.
• Vision for MLOps best practices, particularly regarding version control, Docker, MLFlow, Airflow, CI/CD.
• Strong communication skills, with the ability to engage effectively with diverse stakeholders within and outside of the data team.
• Good commercial understanding; knowledge of e-commerce is a bonus.

What makes someone 'Beauty Pie'?

Our culture is our DNA. It defines who we are, how we operate and how we hire. And it all springs from our values, which are very important to us:

• Bring Your 'A' Game: Take ownership & accountability. Make sh*t happen. Grow. Support. Evolve. Invent. Be open-minded.
• Be Intelligently Rebellious: Challenge the status quo. Push boundaries. Embrace change. Think BIG.
• Be Customer Obsessed: Listen & learn. Take ownership. Act fast. Be humble & empathetic. Build & keep trust. Be grateful for feedback.
• It's All For One (& One For All): Take advantage of collective intelligence. Act with integrity. Support & challenge. Embrace individuality. Do right by our company, our members, our colleagues & our environment.

We're committed to diversity & inclusion

As a business that's based on fairness and self-worth, our commitment to inclusivity runs through the heart of everything we do. We believe that innovation and creativity come from having a diverse workforce, and are committed to building teams with unique identities, from different backgrounds and with individual perspectives.

We've got a long way to go, but here's how we're doing as of June 2024:

Employees who identify as female: 68%

Employees from minority ethnic backgrounds: 28%

Employees who identify as living with a disability: 10%

Employees who identify as female in our Product Engineering teams: 32%

Employees who identify as LGBTQIA+: 13%

A bit about our ways of working

We foster a high-performance culture, where you are trusted to get the work done. We treat all of our teams like adults in giving them autonomy and flexibility.

At Beauty Pie we want to support employees to do their best work, have a good work life balance and work flexibly whilst staying connected - and getting the job done.

In order to encourage in-person collaboration and create a strong team environment, we aim to be in the office 3 days a week, with flexibility built in around role, type of work and personal requirements. We encourage you to discuss this as part of the interview process to understand the requirements in this role.

Your piece of the Beauty Pie:

Life & Balance

• Free Membership to Beauty Pie + discount off our products
• Pieshares - all employees receive stock options
• 25 days holiday & your birthday off / 22 vacation days for the US team
• Flexible bank holidays
• Equal leave for all new parents regardless of gender or personal circumstances

Health & Wellbeing

• Private Medical Insurance
• Menopause support
• £2,500 / $2,500 to spend on your fertility journey after 2 years service
• 10 therapy sessions through AXA PPP

So, what are you waiting for?Apply now for a chance to be part of an inspirational, international and talented team.

Beauty Pie is an equal opportunity employer. The company will not unlawfully discriminate on grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, religion or belief, colour, nationality, ethnic or national origin, disability or age, pregnancy or trade union membership.

Please let us know, if you require reasonable adjustments at any point during the application and/or recruitment process.

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