Overview
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.
When you join us, you will have :
Responsibilities
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.
In this role, you will be responsible for working on complex and extremely varied data sets from some of the world’s largest organizations to solve real-world problems. You will develop high-quality data science products and solutions for clients as well as assets for our internal data teams, focusing on modeling and working alongside the Data Engineering team. Additionally, you will present findings, recommendations, and provide consultation to stakeholders, both internal and clients.
Throughout your tenure, you will learn to work across various industries and sectors, gaining insights into diverse business challenges and applications of data science. You will build large-scale data and analytics solutions, handling complex problems and advanced client situations. You will also learn best practices in data and analytics development, including framework, responsibility model, high-quality code, data security, sustainability, and scalability. Working in collaborative teams with diverse skill sets, you will foster effective teamwork and learn from colleagues in a multicultural and creative environment. Staying up-to-date with the latest advancements in data science tools, techniques, and technologies, as well as participating in first-class learning programs, will be a key part of your development. You will also develop strong client-facing skills, including effective communication, problem-solving, and presentation abilities.
You will work with other data scientists, data / ML engineers, designers, project managers, and business subject matter experts on interdisciplinary projects across various industry sectors to enable business ambitions with data and analytics.
In terms of who you are, you are a highly collaborative individual capable of setting aside your own agenda to listen to and learn from colleagues. You challenge thoughtfully and prioritize impact. You constantly seek ways to improve and work collaboratively with others. You believe in iterative change, experimenting with new approaches, learning, and improving to move forward quickly.
Our tech stack is diverse. While we advocate for using the right tools for the right task, we also take into account the client’s current landscape and preferences. Often, we use Python, PySpark, TensorFlow, PyTorch, Databricks, SQL, Docker, and Kubernetes. We also leverage our own proprietary tools such as Kedro, CausalNex, and MLRun. We work on a regular basis with cloud service providers such as AWS, GCP, and Azure.
Qualifications
* 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
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