Data Scientist - AI & Data Transformation (Remote/Hybrid)

VIVADATA

Utrecht

Hybrid

EUR 60,000 - 90,000

Full time

42 hours ago
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Benefits offered by this job

Phone & travel reimbursements
Remote work allowance
Onefit membership discount
Weekly lunch from organic buffet
Weekly massage sessions
Hybrid work environment

Job summary

Artefact, a leading data and AI consultancy, is seeking a Data Scientist to drive transformational projects and develop innovative data science solutions for clients and our internal team. You will collaborate with cross-functional colleagues to understand client needs and strengthen relationships.

You will mentor junior data scientists, promote our work within data departments, and deliver high-quality results.

Qualifications

  • Master’s degree in a relevant field.
  • 1–3 years of experience in data science, analytics or consulting.
  • Strong knowledge of data processing, algorithms and data architecture; proficient in Python, SQL and R.
  • Analytical mindset and communication skills.

Responsibilities

  • Lead transformational projects that use data to transform client operations and strategies.
  • Develop innovative data science products and solutions for clients and internal teams.
  • Build strong client relationships in collaboration with Consulting counterparts.
  • Upskill the data science team by mentoring and sharing knowledge.
  • Ensure high-quality deliverables and provide feedback to junior team members.
  • Write highly optimized code to advance Artefact’s internal toolbox and knowledge base.

Skills

Python
SQL
R
Data processing
Algorithms

Education

Master's degree in a relevant field

Job description

Artefact, a leading data and AI consultancy, is seeking a Data Scientist to drive transformational projects and develop innovative data science solutions for clients and our internal team. You will collaborate with cross-functional colleagues to understand client needs and strengthen relationships.

You will mentor junior data scientists, promote our work within data departments, and deliver high-quality results.

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