Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place.
Who You'll Work WithYour colleagues will include 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 prioritizing 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, 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 organizations 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 organizations 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; 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 learnHow 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 skillsUndergraduate 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.
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