Senior Data Scientist

Overview

Lead data science projects for sustainable manufacturing at NKT.

Key Responsibilities

• ml modelling
• model deployment
• problem definition
• stakeholder communication
• team mentoring
• project execution

Tasks

-Develop and deploy machine learning models using Python, and , and data science libraries such as pandas, numpy, and scikit-learn. relevant libraries but not limited to these libraries -Support and mentor colleagues to foster team growth -Translate business needs into structured data science problems -Communicate insights clearly to senior stakeholders -Lead end-to-end project execution and backlog management

Requirements

• python
• azure
• agile
• 7 years
• production
• leadership

What You Bring

-Familiarity with agile methodologies and backlog management -Ability to define and track success metrics tied to business outcomes -A minimum of 7 years of relevant experience in the data science domain -Preferred: Experience deploying scalable models in production environments -Proven experience leading data science projects end-to-end atleast 3 project implementation in complex environment -Strong proficiency in Python and libraries like pandas, numpy, scikit-learn -Experience with cloud platforms (Azure preferred)

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About Nkt

-Recognized for expertise in high-performance power cables, especially for energy infrastructure. -Serves sectors like energy, infrastructure, and utilities, with a focus on renewable energy projects. -Notable projects include supplying cables for offshore wind farms and large-scale energy transmission systems. -With a strong presence in Europe, instrumental in advancing the energy transition through sustainable cable technology. -Offers solutions for both high voltage and low voltage applications, ensuring flexibility and reliability across industries. -Committed to meeting the growing demand for renewable energy by designing and supplying cables for solar and wind projects.

Sector Specialisms