Data Scientist

At Swarovski where innovation meets inspiration our people desire to explore experience and create. As a Data Scientist you will get a chance to work in a rewarding role within a diverse team that is pushing boundaries. Be part of a truly iconic global brand learn and grow with us. Were bold and inventive revealing astonishing things like no one else can. A world of wonder awaits you.

About the job

Your responsibilities include but are not limited to :

Designing and developing quantitative and generative AI assets by translating business problems and requirements into actionable insights

Partnering with other Business Functions to align with market state-of-the-art solutions and identify Advanced Analytics opportunities to be embedded the existing processes

Developing data science products ensuring business improvements are impactful and aligned to the company objectives and strategy including appropriate and structured documentation of the methodology and data used

Leverage the Data Lake information and cloud infrastructure as well as the current technology landscape to design the solutions

Selecting features building and optimizing models using Machine Learning and other Advanced Analytics techniques

Coordinating with the Innovation reference people to identify suitable processes for AI agents analyze them and develop AI Agents use cases

Presenting results and insights to business and driving the conversation about innovation directions in the Advanced Analytics space

About you

We are looking for a unique and amazing talent who brings along the following :

University degree / Education preferably in Mathematics Statistics Computer Science Physics or similar

Minimum 3 years of professional experience in a similar role within an international setting

Proficiency in Python and / or R modelling & real-time analytics database languages (e.g. SQL) big data frameworks and Cloud platforms (e.g. Google Cloud Platform Azure AWS)

Deep understanding of Generative AI models their implementation in business settings

Previous experience with AI Agents (e.g. GCP Agent builder) is a plus

Excellent analytical and problem-solving skills

Team orientation and ability to work and interface effectively with all levels of the organization

Excellent English proficiency presentation and communication skills

What we offer

You can expect a range of benefits including :

Swarovski products discounts

Full coverage of accident insurance

Attractive pension fund conditions

Subsidized public transportation or free parking

Employee canteen with buffet

Masters of Light Since 1895

Swarovski creates beautiful crystal-based products of impeccable quality and craftsmanship that bring joy and celebrate individuality.

Founded in 1895 in Austria the company designs manufactures and sells the worlds finest crystal gemstones Swarovski Created Diamonds and zirconia jewelry and accessories as well as crystal objects and home accessories. Swarovski Crystal Business has a global reach with approximately 2400 stores and 6700 points of sales in around 140 countries and employs more than 18000 people. Together with its sister companies Swarovski Optik (optical devices) and Tyrolit (abrasives) Swarovski Crystal Business forms the Swarovski Group. A responsible relationship with people and the planet is part of Swarovskis heritage. Today this legacy is rooted in sustainability measures across the value chain with an emphasis on circular innovation championing diversity inclusion and self-expression and in the philanthropic work of the Swarovski Foundation which supports charitable organizations bringing positive environmental and social impact.

Swarovski is an equal opportunity employer. We give our people the guts to celebrate individuality and pride ourselves on creating a workplace where people feel involved respected valued connected and heard. A place where anyone / everyone belongs. All aspects of employment including the decision to hire promote discipline or discharge will be based on merit competence performance and business needs. We do not discriminate based on race color religion marital status age national origin physical or mental disability medical condition pregnancy gender sexual orientation gender identity or expression veteran status or any other status protected under the law of the countries we operate in.

#LI-Hybrid

Key Skills

Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills

Employment Type : Full-Time

Experience : years

Vacancy : 1