>

Data Scientist - QuantumBlack

QuantumBlack

  View Insights

Apply

Job Summary


Job Type
Permanent

Seniority

Years of Experience
Information not provided

Tech Stacks
TensorFlow
Docker
Container
Analytics
Kedro
R
PyTorch
pySpark
Databricks
Azure
Airflow
Kubernetes
SQL
Python
AWS

Job Description


Qualifications

  • MSc or PhD degree in a discipline such as computer science, machine learning, applied statistics, mathematics or engineering; BSc in AI or machine learning will be considered
  • Programming experience in Python is essential; other languages (e.g. R and SQL) are beneficial
  • Good presentation and communication skills with the ability to explain complex analytical concepts to people from other fields
  • Methodical yet creative problem solver
  • Experience in applying data science and machine learning methods to real world problems

What You'll Do

As a data scientist at QuantumBlack in Singapore...

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 (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

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. 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 playlist 🎧
Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture
  • Healthcare Efficiency – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches.
  • Environmental Impact – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution.
  • Product Development – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures.
Visit our Careers site to watch our video and read about our interview processes and benefits.

Who You'll Work With

You will join our Singapore office as part of QuantumBlack. You will 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!

Salaries

There are no salaries from QuantumBlack that are similar to this job

View more salaries from QuantumBlack
Apply

NodeFlair Insights of QuantumBlack