Data Scientist - QuantumBlack, AI by McKinsey

Overview

Data Scientist - QuantumBlack, AI by McKinsey

Join to apply for the Data Scientist - QuantumBlack, AI by McKinsey role at QuantumBlack, AI by McKinsey.

Who You’ll Work With

Driving 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 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

Your Impact

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 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, and you are encouraged to write papers and present at meetings and conferences should you wish
• Take 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-workers
• Work in one of the most advanced data science teams globally

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
• Up to 2 years of professional experience in programming; experience applied to business problems is a plus
• Programming (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 plus
• Demonstrated aptitude for analytics
• Proven record of leadership in a work setting and / or through extracurricular activities
• Ability to work collaboratively in a team environment
• Ability to work effectively with people at all levels in an organization
• Ability to communicate complex ideas effectively – both verbally and in writing – in English and Italian
• Knowledge of other languages, e.g. Portuguese, German, French and / or Spanish is a plus

Who You Are

You 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 Stack

While 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.

Industries

Software Development and IT Services and IT Consulting