Data Scientist - QuantumBlack, AI by McKinsey
McKinsey & Company
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Job ID: 81800
Who You'll Work With
Your colleagues
Work 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 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 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 firm
- 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 (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
- 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 qualifications and skills
- Undergraduate degree in maths, statistics, physics, computer science or engineering required
- 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 Spanish
- Knowledge of other languages, e.g. Portuguese, German, French and/or Italian is a plus
FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.
FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
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Job Skill Code - FDS - Fellow, Data Science
Function -
Industry -
Post to LinkedIn - Yes
Posted to LinkedIn Date - Thu Sep 14 00:00:00 GMT 2023
LinkedIn Posting City - Madrid
LinkedIn Posting State/Province -
LinkedIn Posting Country - Spain
LinkedIn Job Title - Data Scientist - QuantumBlack, AI by McKinsey
LinkedIn Function - Consulting;Engineering;Information Technology
LinkedIn Industry - Computer Software;Information Technology and Services;Management Consulting
LinkedIn Seniority Level - Entry level
This job is no longer accepting applications
See open jobs at McKinsey & Company.See open jobs similar to "Data Scientist - QuantumBlack, AI by McKinsey" ASU+GSV Summit.