Data Scientist - German speaker
Data Scientist - German speaker
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Job Description
The future of insurance starts with AI. To date Shift Technologys AIpowered products have benefitted more than 300 million policyholders globally by reducing underwriting risk identifying more fraud and automating critical tasks throughout the claims process. Shift harnesses the power of AI to enable the worlds leading insurance organizations to make better decisions. Our products help insurers improve operational efficiency reduce costs and deliver superior customer experiences to their policyholders. Our culture is built on innovation trust and a drive to transform the insurance industry by imagining and innovating solutions that impact insurers and their customers like you! We come from more than 50 different countries and cultures and together we are creating the future of insurance.
You are a recent graduate looking for your first full time Data Science opportunity in Paris.
As a Data Scientist you will work on a broad range of subjects actively contributing to the design and evolution of our suite of products focused on fraud detection antimoney laundering and claims automation. We are dedicated to providing innovative solutions and youll be part of a team with extensive technical and professional expertise in data science data engineering coding business understanding and client interactions. Additionally we tackle a diverse array of data types including structured data unstructured text documents and images. This opportunity is perfect for you if youre seeking a permanent role; Shift is the ideal place to kickstart your career journey!
About the Team
As a member of the data science team and working alongside our technical experts your role will be key to improve and rollout our Fraud Detection and/or Claims Automation solution.
This role is part of our Data Science team which is the largest team in our organization consisting of over 200 Data Scientists throughout the world.
Our Data Scientists work in a full lifecycle role and on a broad range of subjects acquiring extensive technical and professional experience in data science data engineering coding business understanding and client engagement.
What Youll do...
- Your role will be to actively contribute to the Insurance roadmap and clients and working on various data types such as structured data free text documents and images.
- Implementation of the data engineering usually from client extracts to the insertion of the data in our data stores (SQL ElasticSearch)
- Developing testing and tuning models using GenAI AI and business rules and putting them in production for tasks such as fraud detection and automation detection in complex environments.
- Automate key business tasks by implementing them in our production process framework in C#
- Conduct meetings with clients and interact with external stakeholders whether it is for direct user feedback presenting business cases or defining the roadmap of evolutions
What You Bring...
We are looking for candidates with diverse skills to help us build excellent technology solutions for our clients and be proficient in the following skills:
- Codesavvy either by having a degree in computer science and/or having developed some apps with actual users writing scripts for models and notebooks is not enough at Shift we thrive on people who can write maintainable productionquality code that will run everyday without breaking.
- AIsavvy either by having a degree in machine learning or statistics or having handson experience with AI and GenAIbased methods and models to tackle complex business problems.
- Clear understanding of statistics and machine learning problems tasks and common resolutions is important to communicate internally and explain to the client how the product is working.
- Client facing. You will need to be comfortable and open to communicating to our clients on a regular basis.
- Business smart. We dont expect candidates to know the insurance sector but we want applicants who are interested in learning and mastering the business aspects of our products.
- Advanced command of German and English both written and spoken equivalent to a native speaker.
Recruitment Process
- Talent Acquisition interview
- Technical interview
- Hiring Manager interview
To support our permanent full time employees at every stage of their careers and lives we provide a competitive total rewards and benefits package. Here are the global benefits wed like to highlight:
- Flexible remote and hybrid working options
- Competitive Salary and a variable component tied to personal and company performance
- Company equity
- Focus Fridays a halfday each month to focus on learning and personal growth
- Generous PTO and paid holidays
- Mental health benefits
- 2 MAD Days per year (Make A Difference Days for paid volunteering)
Additional benefits may be offered by country ask your recruiter for more information. Intern and Apprentice position are eligible for some of these benefits ask your recruiter for more details.
At Shift we strive to be a diverse and inclusive workforce. We welcome applications from and hire people who will contribute to the diversity of our companywithout regard to race color religion marital status age national or ethnic origin physical or mental disability medical condition pregnancy genetic information gender identity or expression sexual orientation or other nonmerit criteria.
Shift Technology is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and employment process. Should you require accommodation please email and we will work with you to meet your accessibility needs.
Please be aware of scammers and only trust correspondence that comes from emails ending in shifttechnology
Shift Technology does not accept unsolicited CVs from recruiters or employment agencies in response to the Shift Technology Careers page or a Shift Technology social media post. Any unsolicited CVs including those submitted directly to hiring managers are deemed to be the property of Shift Technology.
Employment Type
Full Time
