Your GrowthDriving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.When you join us, you will have:Continuous learning:Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.A voice that matters:From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.Global community:With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.World-class benefits:On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package, which includes medical, dental, mental health, and vision coverage for you, your spouse/partner, and children.Your ImpactAs a Data Scientist at QuantumBlack, you will work in multi-disciplinary environments harnessing data to provide real-world impact for organizations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.Role responsibilitiesWorking on complex and extremely varied data sets from some of the world’s largest organizations to solve real world problemsDeveloping high quality data science products and solutions for clients as well as assets for our internal data teamsFocusing on modelling, working alongside the Data Engineering teamPresenting findings, recommendations and providing consultation to stakeholders (internal and clients)What you’ll learnWork across various industries and sectors, gaining insights into diverse business challenges and applications of data scienceBuild large-scale data & analytics solutions, handling complex problems and advanced client situationsBest practices in data & analytics development including framework, responsibility model, high quality code, data security, sustainability and scalabilityWork in collaborative teams with diverse skill sets, fostering effective teamwork and learning from colleagues in a multicultural and creative environmentStay up-to-date with the latest advancements in data science tools, techniques, and technologies as well as first class learning programsDevelop strong client-facing skills, including effective communication, problem-solving, and presentation abilitiesYou will work with other data scientists, data/ML engineers, designers, project managers and business subject matter experts on interdisciplinary projects across various industry sectors to enable business ambitions with data & analytics.Who you areYou are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritizing impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly.Our Tech StackWhile we advocate for using the right tools for the right task, we also take into account client’s current landscape and preferences. Often, we use Python, PySpark, TensorFlow, PyTorch, Databricks, SQL, Docker and Kubernetes. We also leverage our own proprietary tools such as Kedro, CuasalNex, MLRun (check out more OSS here: https://www.mckinsey.com/capabilities/quantumblack/labs). We work on regular basis with cloud service providers such as AWS, GCP and Azure.Your qualifications and skillsDegree in (business) math, statistics, machine learning, data science, physics, computer science or engineering requiredMaster's degree or PhD level in the field of data science, computer science, business informatics or equivalent is a plusUp to 2 years of professional hands-on experience in applying advanced data science methods and implementing technical data solutions (e.g. develop machine learning models), in order to solve business problemsA strong grasp of various analytics landscape, including business intelligence, machine learning, AI, and generative AI, and how to apply them effectively in different scenariosProficiency in Python, SQL (focus on data & analytics applications)Professional experience in cloud-based analytical tools from market-leading providers such as AWS, MS Azure, Google CloudProficient communication skills in German and EnglishEffective communication and presentation skills, particularly the ability to explain complex analytical concepts in a comprehensible manner adapted to different groups of non-technical audiences e.g. business managers, heads of products, sales & marketing leadsPractical experience in generative AI application developmentProven record of advisory worksProven record of leadership in a work setting and/or through extracurricular activities
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