Data Scientist Role

EPFL CED Centre d'Employabilité et de Développement / Employability and Development Center

Lavamünd

Vor Ort

EUR 95.000 - 148.000

Vollzeit

vor 39 Stunden
Sei unter den ersten Bewerbenden
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Zusammenfassung

We are a Geneva-based boutique investigations firm seeking a Data Scientist to develop algorithms and machine learning models for network analysis, trend detection and anomaly identification. You will wrangle multi-source data, design experiments and communicate findings to non-technical stakeholders.

The role emphasizes OSINT research, collaborative problem solving, and the ability to adapt to diverse projects across international contexts.

Qualifikationen

  • OSINT research aptitude and investigation experience.
  • Tactical empathy to understand bad actors, sources, and clients.
  • Active listening with a collaborative mindset for brain-storming.
  • High standard and ability to communicate intelligence concisely.
  • Knowledge of additional languages is highly desirable.

Kenntnisse

Writing algorithms
Graph algorithms
Centrality algorithms
Pathfinding algorithms
Machine learning
Data wrangling
Databases
Python
Pandas
SQL
R
NLP

Tools

SQL
Graph databases

Jobbeschreibung

Organisational Overview

We are a boutique commercial investigations company based in Geneva, Switzerland. We investigate financial crime, including money laundering, fraud, sanctions violations and corruption. We work for senior decision makers conducting intelligence led investigations. Increasingly, we carry out metadata analysis to identify tradecraft signatures and other indications of nefarious activity. We gather pertinent facts and offer analysis and advice to our clients. Our culture is all about clear thinking and asking the right questions.

  • DGBI SA
  • 100%
  • Non académique: Premier emploi
  • Suisse romande
Description

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Organisational Overview

We are a boutique commercial investigations company based in Geneva, Switzerland. We investigate financial crime, including money laundering, fraud, sanctions violations and corruption. We work for senior decision makers conducting intelligence led investigations. Increasingly, we carry out metadata analysis to identify tradecraft signatures and other indications of nefarious activity. We gather pertinent facts and offer analysis and advice to our clients. Our culture is all about clear thinking and asking the right questions.

Data Scientist Role –
The Skills We Value In Data Scientist Candidates Are
  • Writing algorithms – ability to write algorithms to identify networks, trends, anomalies & predictions incl.
  • Graph algorithms
  • Centrality algorithms
  • Pathfinding algorithms
  • Machine learning algorithms
  • Data parsing – experience in wrangling structured and unstructured multi-source data, ability to communicate data to non-technical stakeholders
  • Databases – Experience with SQL and graph databases
  • Programming and technical proficiency – Python, Pandas, SQL, R, machine learning, local AI systems, NLP
  • Hypothesis-led investigation – experience in testing the probability of hypotheses and leveraging data-mining skills to recognise patterns / draw sound conclusions
  • Discerning analysis – a critical eye to identify broken imports, missing values, LLM errors, graph theory, network analysis

Hands-on experience e.g. advertised projects, online platform ranking

Candidate Briefing –
  • An aptitude for OSINT research and investigation
  • Tactical empathy to understand the motivations of bad actors, intelligence sources and clients alike
  • Active listening and a collaborative mindset are essential for brain-storming with an open dialogue
  • High standard and literacy to communicate the relevant intelligence concisely
  • Unique knowledge bases or skillsets bring a new way of thinking to the team
  • Adaptability as each project could ask you step into a new role and / or travel abroad
  • Fluent English is required for all roles
  • Knowledge of other languages is highly desirable
  • Candidates should be prepared to work from our office in Geneva, Switzerland
Date de publication

11.09.2026

Taux d'activité (%)

100%

Secteur d'activité

Conseil

Type de travail

Data science

Entrée en fonction

Immédiatement

Lieu de travail

Rue de la Cité
1204 Genève
Suisse

Informations de contact

Mme
Verity Horner
Email
Rue de la Cité 1
1204 Genève

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