OverviewData Scientist - QuantumBlack, AI by McKinseyJoin to apply for the Data Scientist - QuantumBlack, AI by McKinsey role at QuantumBlack, AI by McKinsey.Who You’ll Work WithDriving 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.What You’ll LearnHow successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelinesBuild products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situationsBest practices in software development and productionise machine learning by working with our Machine Learning Engineering teams which optimise code for model development and scale itWork with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualisationsUsing new technologies and problem-solving skills in a multicultural and creative environmentYour ImpactAs a data scientist at QuantumBlack, you will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.Role ResponsibilitiesWork on complex and varied data sets from some of the world’s largest organisations to solve real world problemsDevelop data science products and solutions for clients as well as for our data science teamWrite highly optimized code to advance our internal Data Science ToolboxWork in a multi-disciplinary environment with specialists in machine learning, engineering and designFocus on modelling by working alongside the Data Engineering teamAdd real-world impact to your academic expertise, and you are encouraged to write papers and present at meetings and conferences should you wishTake part in R&D (video R&D at QuantumBlack); attend conferences such as NIPS and ICML as well as data science retrospectives where you will have the opportunity to share and learn from your co-workersWork in one of the most advanced data science teams globallyYour Qualifications and SkillsBachelor or MSc or PhD level degree in a discipline such as computer science, machine learning, applied statistics, mathematics or engineeringUp to 2 years of professional experience in programming; experience applied to business problems is a plusProgramming (focus on machine learning) Python (must), R (highly valued), SPSS, SAS, Ruby, Hadoop (valued)Data treatment / data mining, e.g. SQL, AWK, Access, Spark, Excel (highly valued)Statistical knowledge is a plusDemonstrated aptitude for analyticsProven record of leadership in a work setting and / or through extracurricular activitiesAbility to work collaboratively in a team environmentAbility to work effectively with people at all levels in an organizationAbility to communicate complex ideas effectively – both verbally and in writing – in English and ItalianKnowledge of other languages, e.g. Portuguese, German, French and / or Spanish is a plusWho 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 prioritising 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 tech for the right task, we often leverage technologies such as Python, PySpark, TensorFlow, PyTorch, SQL, Airflow, Databricks, Kedro, Docker, Kubernetes, and cloud solutions (AWS, GCP, Azure), among others. IndustriesSoftware Development and IT Services and IT Consulting
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