Junior Data Scientist - Sparagus - Bruxelles
Sparagus
Région
Bruxelles
Any Data Scientist & AI Engineer worth their salt, knows that Analytics is not just a technical discussion, rather it is a combination of the technical and domain knowledge, aimed at the right business audience. At Sparagus we have the right market access and business relationships, so when we combine it with your passion & talent for AI , we really can make a better working world.
We have a fast-growing Data & Analytics practice within Advisory, where Data Science & AI Engineers are at the tip of the spear for driving growth. Whether you are an expert in computer vision, have a passion for NLP, love playing with Graph we would really like to hear from you. We also believe all sector experience has something to offer, so whether you are Telco or FS, Consumer Products or Utilities, it will all add to the richness of services we can offer our clients.
Your Responsibilities
We are looking to bring in talented people like you across all our grades. No day would be ‘typical’, but you could expect to be involved in some or all of the activities listed below during the course of your career:
Supporting the pursuit of new work through client conversations and presentations
Research & development in support of new AI based offerings
Leading & delivering client solutions using a range of DS/AI technologies
Learning about new technologies/research and how they could be applied for the benefit of our clients
Mentoring other experienced and aspiring Data Science & AI Engineers
Development of innovative prototypes to bring to life our capability
Support of bid response work to articulate what value we can bring
Speaking at conferences, meetups and other Sparagus brand promotion events
Blogging about what we do
Collaborating with our partners and other parts of Sparagus
Skills & Attributes for Success
Clearly your technical expertise is welcomed and expected, but we are also looking for your experience and guidance to drive the right solution and approach for the problem at hand. To be transformative, we often have to go after the ‘too hard’ business problem, which requires our people to be creative and really challenge themselves to deliver. We want you to be thinking how you can apply your knowledge and push yourself to learn more in order to solve the difficult stuff.
If you have some or all of the below, then get in touch:
Strong inter-personal, collaborative & team player skills
Professional experience in delivery of advanced analytics/DS/AI projects
Excellent understanding of mathematical, probability & statistics principles, and of algorithm theory
Detailed knowledge of a range of AI techniques including, graph data analytics, time series, NLP, deep learning, supervised and unsupervised machine learning etc
Programming skills in Python or R, Spark and SQL
Excellent communication and presentation skills both verbal and written, with the ability to analyse and clearly articulate complexities in a simple, clear and compelling way
Worked with open source data science libraries and understand how to apply them to various problem types
Experience of using the latest Data science platforms (e.g. Databricks, AzureML) and frameworks (e.g. Tensorflow, MXNet, scikit-learn)
Data wrangling and manipulation techniques
Experience of development & deployment tooling, such as Jenkins, Ansible, Docker etc
Ideally, you’ll also have
Experience of working on a Microsoft Azure platform
Used a data visualisation technology, like Tableau, Power BI or Qlik
Software engineering experience (e.g. coding standards, version control, testing, review)
Experience of IoT
Domain knowledge across public sector, utilities, pharma, consumer products, telco or retail
We have a fast-growing Data & Analytics practice within Advisory, where Data Science & AI Engineers are at the tip of the spear for driving growth. Whether you are an expert in computer vision, have a passion for NLP, love playing with Graph we would really like to hear from you. We also believe all sector experience has something to offer, so whether you are Telco or FS, Consumer Products or Utilities, it will all add to the richness of services we can offer our clients.
Your Responsibilities
We are looking to bring in talented people like you across all our grades. No day would be ‘typical’, but you could expect to be involved in some or all of the activities listed below during the course of your career:
Supporting the pursuit of new work through client conversations and presentations
Research & development in support of new AI based offerings
Leading & delivering client solutions using a range of DS/AI technologies
Learning about new technologies/research and how they could be applied for the benefit of our clients
Mentoring other experienced and aspiring Data Science & AI Engineers
Development of innovative prototypes to bring to life our capability
Support of bid response work to articulate what value we can bring
Speaking at conferences, meetups and other Sparagus brand promotion events
Blogging about what we do
Collaborating with our partners and other parts of Sparagus
Skills & Attributes for Success
Clearly your technical expertise is welcomed and expected, but we are also looking for your experience and guidance to drive the right solution and approach for the problem at hand. To be transformative, we often have to go after the ‘too hard’ business problem, which requires our people to be creative and really challenge themselves to deliver. We want you to be thinking how you can apply your knowledge and push yourself to learn more in order to solve the difficult stuff.
If you have some or all of the below, then get in touch:
Strong inter-personal, collaborative & team player skills
Professional experience in delivery of advanced analytics/DS/AI projects
Excellent understanding of mathematical, probability & statistics principles, and of algorithm theory
Detailed knowledge of a range of AI techniques including, graph data analytics, time series, NLP, deep learning, supervised and unsupervised machine learning etc
Programming skills in Python or R, Spark and SQL
Excellent communication and presentation skills both verbal and written, with the ability to analyse and clearly articulate complexities in a simple, clear and compelling way
Worked with open source data science libraries and understand how to apply them to various problem types
Experience of using the latest Data science platforms (e.g. Databricks, AzureML) and frameworks (e.g. Tensorflow, MXNet, scikit-learn)
Data wrangling and manipulation techniques
Experience of development & deployment tooling, such as Jenkins, Ansible, Docker etc
Ideally, you’ll also have
Experience of working on a Microsoft Azure platform
Used a data visualisation technology, like Tableau, Power BI or Qlik
Software engineering experience (e.g. coding standards, version control, testing, review)
Experience of IoT
Domain knowledge across public sector, utilities, pharma, consumer products, telco or retail