Manager - Data Science

☞ Sparagus

見る: 130

更新日: 16-11-2025

場所: Brussels Brussels Capital

カテゴリー: 売上高

業界:

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仕事内容

About role

This opportunity is directed for a data scientist with management responsibilities that is self-directed, results-oriented, highly collaborative, organized, diligent, and thoughtful. This role requires the ability to task-organize, focus on the details, and sustain and drive progress over time. This role combines aspects of designing and delivering analytical solutions, ‘Go to Market’ and pre-sales support, and people management and mentoring. The work the Data Science Guild is involved in Europe covers many industries such as Pharmaceutical, Banking, Finance, Insurance, Manufacturing, Retail, Telecommunications and Utilities.

Key responsibilities

  • Lead and mentor experienced and junior team members
  • Interviewing and hiring
  • Lead on training plans
  • Inspire and encourage innovation
  • Be involved in the graduate programme
  • Ground breaking PoCs type of engagements (hands on)
  • Work at a client site as a senior member of an experienced onsite consulting team developing and applying advanced and analytics and machine learning methodologies
  • Prepare projects action plans while designing timelines and developing risk mitigation plans
  • Seek and develop innovative methods and processes and keep up to date on latest trends, tools and advancements in the area of analytics and data
  • Take active part in sales support activities such as responding to RFIs and RFPs – support the proactive and reactive sales process by providing the advanced analytics aspect of presentations and responses to clients.
  • Interacting with the wider European Data Science Guild, the rest of the European Guilds and other Business Units globally.
  • Contribution to & participation in the shaping of the Data Science Guild and its activities

Hands on Skills

  • Hands on develop preferably in Python (Pytorch, Numpy, Sklearn, pandas, Flask etc.).
  • Being familiar in any of these technologies: Azure (Devops, ML Studio), or GCP (Data, ML & AI), or AWS (Sagemaker, S3); Docker; Kubernetes; Spark; Kafka.
  • Familiarity with Dev/Ops and ML Ops
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締切: 31-12-2025

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