Data Scientist - QuantumBlack, AI by McKinsey

As 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 Responsibilities Work on complex and extremely varied data sets from some of the world's largest organisations to solve real world problems. Develop data science products and solutions for clients as well as for our data science team. Write highly optimized code to advance our internal Data Science Toolbox. Work in a multi-disciplinary environment with specialists in machine learning, engineering and design. Focus on modelling by working alongside the Data Engineering team. Add real-world impact to your academic expertise, as you are encouraged to write papers and present at meetings and conferences should you wish. Take part in R&D; 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-workers. Work in one of the most advanced data science teams globally. What You'll Learn How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines. Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations. Best practices in software development and productionise machine learning by working with our Machine Learning Engineering teams which optimise code for model development and scale it. Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualisations. Using new technologies and problem-solving skills in a multicultural and creative environment. You will work on the frameworks and libraries that our teams of data scientists and data engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport. Unique Opportunities Real-World Impact - No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally. Fusing Tech & Leadership - We work with the latest technologies and methodologies and offer first class learning programmes at all levels. Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance. Innovative Work Culture - Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions. Striving for Diversity - With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life. Your Qualifications and Skills Bachelor or MSc or PhD level degree in a discipline such as computer science, machine learning, applied statistics, mathematics or engineering. Programming (focus on machine learning): Python (must), R (highly valued), SPSS, SAS, Ruby, Hadoop (valued). Statistical knowledge is a plus. Proven record of leadership in a work setting and/or through extracurricular activities. Ability to work effectively with people at all levels in an organization. Knowledge of other languages, e.g. Portuguese, German, French and/or Spanish is a plus. Up to 2 years of professional experience in programming; experience applied to business problems is a plus. Data treatment/data mining, e.g. SQL, AWK, Access, Spark, Excel (highly valued). Demonstrated aptitude for analytics. Ability to work collaboratively in a team environment. Ability to communicate complex ideas effectively - both verbally and in writing - in English and Italian. #J-18808-Ljbffr

Created: 2025-01-14