Junior Fellow - Data Science

Key Skills

Python Programming, SQL, Machine learning techniques, Data science techniques

Job Description

WHO YOU'LL WORK WITH

You’ll be based in our Milan office and work with colleagues from across the firm to help our clients deliver breakthrough products, experiences and businesses, both on technology and non-technology topics.

You'll work in small teams in a highly collaborative way, use the latest technologies and enjoy seeing the direct impact from your work. You will also 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.

WHAT YOU'LL DO

• You will help create analytical solutions that range from developing and delivering code and models, to digging for meaningful insights in your results, and translating them into actionable plans for our clients.
• In this role, you will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
• You will work on complex and extremely varied data sets from some of the world’s largest organisations to solve real world problems, developing data science products and solutions for clients as well as for our data science team. You will write highly optimized code to advance our internal Data Science Toolbox.
• You will work in a multi-disciplinary environment with specialists in machine learning, engineering and design, adding real-world impact to your academic expertise, as you are encouraged to write ‘black’ papers and present at meetings and conferences should you wish.
• You will attend conferences such as NIPS and ICML as one global team as well as Data Science retrospectives where you will have the opportunity to share and learn from your co-workers.

QUALIFICATIONS

• Bachelor's and MSc or PhD degree with expected graduation date in 2023 in a discipline such as computer science, machine learning, applied statistics, mathematics or engineering 

• Experience in applying data science and machine learning methods to real world problems

• Ability to write clean, maintainable and robust code in Python

• Methodical yet creative problem solver

• Good presentation skills

• Excellent communication skills; ability to explain complex analytical concepts to people from other fields