Senior Data Scientist
Istanbul, TR
Vodafone
Vodafone is a leading technology communications company in Europe and Africa, keeping society connected and building a digital future. Find out more!Join Us
At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.
What you’ll do
We are looking for a passionate, talented, and inventive “Senior Data Scientist” to join our Big Data & AI team. As a senior data scientist, you will be responsible to provide actionable business insights that drive revenue, reduce cost, and improve customer experience. You will be working with a community of colleagues across technology and business functions.
• Develop, implement, and maintain credit risk models, assessing default probability, dunning and collection models using advanced machine learning techniques.
• Enhance limit management and credit policy strategies with data-driven insights.
• Leverage alternative data sources (telco usage, mobility, customer behavior patterns) for credit risk assessment.
• Develop collections optimization models to improve recovery rates.
• Monitor model performance and drift, ensuring continuous improvement.
• Design machine learning models for Vodafone’s mobile and non-mobile product challenges
• Translating complex datasets into key strategy insight and powerful capabilities to the business
• Iterate on machine learning products based on the feedback from a/b experiments
• Identifying new data sources and evaluate emerging technologies for data discovery usage
• Presenting the results to technical and non- technical audiences
• Identifying new analytics trends and opportunities to drive the innovation agenda across Vodafone’s global team
Who you are
• BS Degree in quantitative fields like Mathematics, Statistics, Computer Engineering, Industrial Engineering
• Having an academic degree (MS/ PhD) typically in a quantitative discipline or related field will be a plus
• 4+ years experience in developing, implementing and maintaining Machine Learning /AI models and credit risk modeling.
• Hands-on experience with credit scoring , payment behavior prediction, collections analytics and debt recovery optimization.
• Fluency in coding using Python and experience in Python data analysis libraries such as pandas, numpy and scikit-learn
• Expert level experience with the mathematical foundations of modern machine learning/AI algorithms and statistics
• Fluency with at least some of the leading data visualization software such as Tableau, Qlikview, Python’s matplotlib
• Excellent communication skills, with the ability to present technical results to non-technical audiences
• Curiosity, creativity, and an empirical mindset with result-orientation
Not a perfect fit?
Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.
What's in it for you
We like to keep them flexible:
• Vflexy: Flexible Benefits Program
• Hybrid working kit
• Ergonomic kit allowance
• Digital meal voucher
• Flexible transportation allowance.
• Employee assistance hotline & counselling
• Comprehensive and flexible private health insurance
• Discounted price deals for wide range of products & services
Plus, plenty more to enjoy!
#LI-Hybrid
Data Privacy
By applying for this job, you accept the Vodafone Privacy Policy. Please visit Privacy Policy web page at https://careers.vodafone.com/privacy-policy/turkey/ for further details.
Who we are
We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.
Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.
If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.
Together we can.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Big Data Credit risk CX Data analysis Data visualization Engineering Industrial Machine Learning Mathematics Matplotlib ML models NumPy Pandas PhD Privacy Python QlikView Scikit-learn Statistics Tableau
Perks/benefits: Career development Flex hours Health care
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