Data Scientist - Quantumblack, Ai By Mckinsey Milano

Data Scientist - Quantumblack, Ai By Mckinsey
Milano
Lombardia, Milano

Who You'll Work WithYour colleaguesWork with other data scientists, data engineers, machine learning engineers, designers and project managers on interdisciplinary projects, using maths, stats and machine learning to derive structure and knowledge from raw data across various industry sectors. 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 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 the following technologies: Python, PySpark, TensorFlow, PyTorch, SQL, Airflow, Databricks, our own OSS called Kedro (check out a Kedro tutorial video here), container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP or Azure, and more!Your impact within our firmAs 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 extremely 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, as you are encouraged to write papers and present at meetings and conferences should you wishTake part in RD (video: RD 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 globallyWhat 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 environmentYou will work on the frameworks and libraries that our teams of data scientists and data engineers use to progress from data to impact.

Watch our Protocols series video tutorial.

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. 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. . . check out our Women Transforming Tech highlights reel and our Kedro playlistYour 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 plus #J-18808-Ljbffr