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Data Science Manager Finance (m/f/d) 

Posted 18 hours ago

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Job Description

Company Description

 

    Job Description

    Our vision is to transform the way the world moves because people expect better. As a Data Science Manager Finance (m/f/d), you lead the Data Science Finance team while remaining hands-on, drive technical architecture, and partner with the Finance team to execute ambitious roadmaps. Apply now and be part of our Data Science team in Pullach near Munich.

    YOUR ROLE AT SIXT

    • You build, grow, and lead the Data Science Finance team while staying hands-on - hiring top talent and fostering a culture of ownership and technical excellence by example 
    • You partner with Finance to execute ambitious roadmaps - translating business requirements into technical solutions for risk models and other use cases that drive measurable P&L impact 
    • You ensure production-grade model performance and infrastructure - delivering models meeting accuracy thresholds with robust MLOps practices 
    • You drive technical architecture and cross-team coordination - designing systems, guiding best practices, and collaborating with Data Engineering, MLOps, and engineering teams 
    • You own operational excellence and team delivery - establishing production support standards, managing on-call rotation, and maintaining transparent stakeholder communication 

    YOUR SKILLS MATTER

    • Experience You have several years managing data science teams with a proven track record in hiring, developing talent, coaching, and resource planning 
    • Background You have experience driving data science projects in agile product teams and collaborating closely with POs and business stakeholders; finance domain knowledge is a plus 
    • Know-how You possess solid ML expertise and modern tech stack proficiency with Python, cloud platforms, MLOps tools, and AI-assisted coding e.g. Cursor, Claude Code 
    • Deployment You have real-world experience deploying large-scale ML models with a deep understanding of model lifecycle, NFRs, production support, and incident management 
    • Hands-on You have strong collaboration and execution skills - able to build consensus across tech and business stakeholders, balance priorities, and deliver on ambitious timelines 

    WHAT WE OFFER

    • Extra benefits Enjoy discounts on SIXT rent, share, ride and SIXT+, attractive vehicle leasing offers, and exclusive deals with partners for travel, tech, fashion and more
    • Mobility boost We support you with a monthly mobility allowance of €20 per month for even more freedom
    • Future security We contribute to your retirement plan and support you with capital-forming benefits to ensure you are well covered
    • Feel-good atmosphere Stay active with our modern SIXT gym, various leisure activities like the gaming area or the SIXT choir, and enjoy our high-quality employee restaurant
    • Flexibility Enjoy 30 days of vacation and a hybrid working model with flexible hours
    • Giving back Take one day each year to volunteer at a charitable organization dedicated to supporting children

    Additional Information

    About us:

    We are a globally leading mobility service provider with a revenue of €4.00 billion and around 9,000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental), SIXT share (car sharing), SIXT ride (taxi, ride, and chauffeur services), and SIXT+ (car subscription), giving our customers access to our fleet of 350,000 vehicles, the services of 4,000 cooperation partners, and around 5 million drivers worldwide. Together with our franchise partners, we are present in more than 110 countries at 2,000 rental stations. At SIXT, top-tier customer experience and outstanding customer service are our highest priorities. We believe in true entrepreneurship and long-term stability and align our corporate strategy with foresight. Get started with us and apply now!

    Please mention that you found this job on MoAIJobs, this helps us grow. Thank you!

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    SIXT

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    About the job

    Posted on

    Mar 3, 2026

    Apply before

    Apr 2, 2026

    Job typeFull-time
    CategoryData Science
    Location
    Munich, BY, Germany

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