HubMub
-
ALLPS

Data Scientist

ALLPS
Switzerland · Full-time · Director
Location: Basel, Switzerland

Contract Duration: 3 years, with possible extension

Experience Required: 3+ years.

Industry Experience: Utilities & Energy (Energie & Wasserversorgung) or Telecommunications or Banking & Financial Services or Information Technology & Services

Role Overview

We are looking for an experienced Data Scientist to support a long-term enterprise project in Basel. This is a 3-year contract role with the possibility of extension.

We are seeking a senior-tier Data Engineer to design, build, and optimize our enterprise-wide data platform. In this role, you will be responsible for breaking down operational data silos and constructing scalable, low-latency ETL/ELT pipelines. Your mission is to establish a unified data architecture that delivers clean, highly structured, and reliable data streams for downstream business intelligence, advanced analytics, and AI initiatives.

Strategic Scope: Formulates, trains, validates, and deploys scalable statistical analysis models, machine learning systems, and artificial intelligence pipelines to extract actionable predictive trends and enable smart automation systems.

Core Responsibilities

  • Problem Translation: Translate high-level operational and business challenges into precise exploratory data science tasks, mathematical formulations, and algorithmic solution blueprints.
  • Model Engineering Loop: Perform structured feature engineering, sample selection, model training, hyperparameter optimization, and statistical validation across diverse algorithm classes.
  • Production Microservice Packaging: Wrap validated machine learning pipelines into secure, containerized software microservices exposed via reliable application programming interfaces.
  • Governance & Tracking: Establish model monitoring configurations to track feature drift, analyze concept decay, measure latency drops, and enforce model explainability metrics.
  • Exploratory Reporting: Construct high-impact interactive visualization layers and analytics reports to deliver complex statistical insights to business stakeholders.

Required Skills & Experience

  • Minimum 5+ years of hands-on experience in data science, machine learning, statistical modelling, or applied AI solution development.
  • Strong ability to translate business and operational challenges into clear data science problems, mathematical formulations, analytical hypotheses and algorithmic solution approaches.
  • Hands-on experience with feature engineering, data preparation, sample selection, model training, hyperparameter optimisation and statistical model validation.
  • Strong knowledge of machine learning algorithms, including supervised learning, unsupervised learning, classification, regression, clustering, anomaly detection and predictive modelling techniques.
  • Experience building and validating machine learning pipelines using Python-based data science libraries such as Pandas, NumPy, scikit-learn, PySpark, TensorFlow, PyTorch or comparable frameworks.
  • Ability to package validated machine learning models into production-ready services using APIs, containers, Docker and microservice-based deployment patterns.
  • Good understanding of model governance, including model monitoring, feature drift, concept drift, latency tracking, explainability metrics and performance degradation analysis.
  • Experience creating interactive dashboards, visual analytics and business-facing reports using tools such as Power BI, Tableau, Plotly, Dash or comparable visualisation platforms.
  • Good understanding of secure data handling, data quality, model lifecycle management, documentation and software development lifecycle practices.
  • Ability to communicate complex statistical and machine learning insights clearly to business stakeholders, technical teams and decision-makers.
  • Ability to work independently as well as part of a distributed project team, collaborating with data engineers, software developers, architects, analysts and business stakeholders.
  • Languages : Flawless bilingual/native-level business German communications proficiency (C1/C2 level written and spoken) is required. The candidate must present seamlessly in German during the technical panel interview (Anbieterfachgespräch).
  • Swiss Compliance : Must hold EU/EFTA nationality or possess an active, valid Swiss permanent residency/work card (C Permit or unrestricted B/G Permit).
  • What We Offer:**
  • Opportunity to work on challenging projects and contribute to the growth of our company
  • Collaborative and dynamic work environment
  • Professional development and growth opportunities
  • Competitive salary and benefits package

Recruitment Process – AI Screening with TARA

  • As part of our recruitment process, candidates may be invited to complete an initial AI-powered screening with TARA, the ALLPS.AI interview agent.
  • TARA helps us make the hiring process faster, fairer, and more consistent by asking structured, role-relevant questions based on the job requirements. The interview is designed to understand your experience, skills, motivation, and suitability for the role.

The AI screening interview may include:

  • Questions about your professional background and relevant experience
  • Role-specific technical or functional questions
  • Questions about your motivation, availability, and communication skills
  • The interview can usually be completed online in 15-20 minutes at a time that is convenient for you. Your responses will be reviewed as part of the overall selection process, together with your CV, application details, and any follow-up interviews with the hiring team.

Candidate Experience.:

  • We use AI to support the recruitment process, but final hiring decisions are made by people. Human recruiters and hiring managers remain involved in reviewing candidates and making selection decisions.
  • We are committed to a transparent, respectful, and fair candidate experience. Your data will be handled confidentially and in accordance with applicable data protection requirements.

If you are a motivated and experienced Data Scientist looking for a new challenge, please submit your application, including your resume and a cover letter, to our website. We look forward to hearing from you.

Key Skills

Ranked by relevance

machine learning ai artificial intelligence microservices tensorflow power bi tableau pytorch python docker pandas numpy c
Login to Apply
🇨🇭

Country Guide

Switzerland

Very high salaries and premium quality of life

Posted
Jul 04, 2026
Type
Full-time
Level
Director
Location
Basel
Company
ALLPS

Industries

Software Development

Categories

Engineering Information Technology

Related Jobs

3 roles aligned with this opportunity

View all jobs
View Job Details
Jobgether
Related

Head of Data & AI

2026-07-05

Full-time
Not Applicable
Switzerland
Internet Marketplace Platforms
Engineering
View Job Details
ai71
Related

Machine Learning Engineer

2026-07-02

Full-time
Not Applicable
United Arab Emirates
Construction
Engineering
View Job Details
Swiftly, Inc.
Related

Software Engineer - Full-stack

2026-07-02

Full-time
Not Applicable
Canada
Software Development
Engineering