Data jobs in Lausanne

What you would do

• Develop a trustworthy AI framework for autonomous operation of process plants.
• Build AI agents that monitor plant state, detect and diagnose abnormal situations, and recommend or execute operating actions.
• Combine learning-based and agentic AI systems with physics-informed process models, digital twins, and engineering knowledge (P&IDs, operating procedures).
• Quantify uncertainty and verify agent decisions before they reach the plant (doer–checker architectures).
• Explain recommendations to operators.
• Ensure robustness to sensor faults, distribution shifts, and unseen operating conditions.

Skills

What you would do

• Research state-of-the-art computer vision methodologies.
• Create and curate training and validation datasets.
• Perform statistical analyses and build visualization tools for data quality.
• Build and refine training pipelines and metrics to improve model performance.
• Develop and optimize computer vision algorithms for robotics/aerospace projects.
• Implement ML/CV models into production-ready environments and integrate with company systems.

Skills

What you would do

• Define the vision, strategy, and roadmap for traceability solutions.
• Collect and analyze customer needs and prioritize features.
• Write specifications and coordinate technical and business teams.
• Track delivery of evolutions and measure feature impact.
• Adjust the product based on usage data and field feedback.
• Collaborate with commercial, support, and marketing teams to ensure solution adoption.

Skills

What you would do

• Identify cryptic HLA-I peptides in ~20 patient-derived primary melanoma cell lines using advanced immunopeptidomics, cross-validating against rare translation events from other doctoral candidates.
• Quantify peptide stability and turnover using SILAC pulse-chase assays under cellular perturbations.
• Develop an integrative machine-learning model predicting cryptic peptide presentation, synthesizing translation, immunopeptidomics, and secreted-microprotein data streams.
• Collaborate across the ORFeus network, contribute methods and results to the shared ORFeome platform, and produce the project's scientific report.
• Spend ~3 months at an industry partner integrating findings into mRNA-based vaccine development pipelines.

Skills

What you would do

• Rebuild the RVI scoring engine as clean, standalone Python code implementing validated indicator formulas.
• Design and build the database layer (schema and storage) and connect it to the RVI engine.
• Migrate the graph representation from Neo4j to a Python-native structure.
• Implement data-ingestion and similarity-matching logic (GNN) to complete missing component information.
• Build the web interface for data upload and ranked results.
• Work independently from rough goals to working software using modern tooling including AI coding assistants.

Skills

What you would do

• Partner with laboratory stakeholders, data domain owners, lab business analysts, data architects and engineers to translate functional requirements into scalable, well-documented technical solutions.
• Enable new and existing laboratory instruments end to end, from understanding scientific workflows and data outputs to defining connectivity and data flow across LIMS, robotics, automation platforms and downstream systems.
• Collaborate with IT network and security specialists.
• Propose and implement customizations to lab digital platforms (LIMS, instrument integration, data processing, metadata capture) for efficiency, quality, traceability and governance.
• Identify opportunities to increase value of lab data across sources via data integrations, data warehousing and automated data quality checks.
• Support testing, deployment, change management and continuous improvement of compliant, scalable lab solutions, including AI-enabled opportunities.

Skills

What you would do

• Formalize and document fraud scenarios and irregular practices.
• Compare reference models and advanced anomaly detection approaches.
• Integrate and evaluate advanced privacy techniques.
• Define threat models and test different types of risks.
• Develop explanations adapted to analysts for reliable, transparent decisions.
• Define a reproducible experimental protocol to analyze trade-offs.

Skills

What you would do

• Produce internal and external credit reports (Finma, BNS) using RStudio/R.
• Maintain and support End User Computings (EUCs) in Access/VBA.
• Optimize internal and external information sources for reliable data.
• Perform credit risk controlling: monitoring, exceedances/discoveries, and statistics.
• Identify simplification opportunities and propose procedure improvements based on quantitative and financial analysis.
• Participate in and lead IT/process working groups.

Skills

What you would do

• Lead the planning, execution and completion of complex financial statement audits and group reporting engagements for international clients in energy, commodity trading and industrial sectors.
• Assess complex accounting and reporting matters under IFRS, including derivatives, fair value measurement, hedge accounting, lease accounting, business combinations and consolidation.
• Coordinate with PwC teams and subject-matter specialists across countries to deliver audit outcomes within demanding reporting timelines.
• Build trusted relationships with senior client stakeholders and communicate audit findings, technical matters and practical recommendations.
• Shape and develop engagement teams through coaching, knowledge sharing and responsibility for audit quality and timely delivery.
• Contribute to audit transformation, quality and operational initiatives using digital audit tools, data analytics and efficient group-reporting processes.

Skills

What you would do

• Conduct audit and assurance missions for major national and international clients.
• Work independently on annual financial statements and special audits.
• Engage in shaping the future of audit offerings and nurture professional growth.

Skills

What you would do

• Deliver timely, high-quality lipid data supporting research projects and operational priorities.
• Execute lipid extraction and chromatography experiments with accuracy and rigor.
• Implement analytical methods and technical solutions that improve lipid analysis capabilities.
• Explore and apply new analytical technologies to expand lipid analytics capabilities.
• Collaborate with scientists, analytical groups, and external partners.

Skills

What you would do

• Submit a CV through the application to enter the talent pool.
• Attend EPFL Forum 2026 on October 8th and 9th to meet the team, discover projects, and explore potential career opportunities (internship, first professional experience, or full-time).

Skills

What you would do

• Structure, automate, analyze, and value data from the client database for statistics, management, reporting, and activity reports.
• Analyze business needs and identify data needed by other services using internal or external data management tools.
• Structure, ensure reliability, and document data sources.
• Identify and test solutions.
• Provide technical support for statistical monitoring of social services.
• Participate in data governance, quality, and security.

Skills

What you would do

• Develop and maintain Python components for machine learning applications.
• Integrate, fine-tune and evaluate Transformer-based models.
• Build data-processing, training and inference pipelines.
• Support deployment of models into reliable applications and services.
• Measure and improve model performance, latency and resource usage.
• Write tests and contribute to code quality, documentation and reproducibility.

Skills

What you would do

• Collect business needs and develop new Power BI dashboards aligned with hospital strategy.
• Evolve data sources with the DSIO and contribute to the data platform migration.
• Contribute to predictive analytics and the doctors' portal.
• Perform ad hoc and strategic analyses on billing, patient flows, and resource efficiency.
• Present analyses to management and support institutional steering.
• Automate statistical treatments (OFS, REKOLE).

Skills

What you would do

• Lead the scientific management and monitoring of the TANDEM project with the two main co-investigators.
• Develop and validate standardized operating procedures (SOPs) for multiplex imaging and spatial profiling.
• Coordinate production of high-quality data.
• Perform image processing and quantitative analysis of spatial proteomics data.
• Contribute to a computational pathology pipeline combining H&E imaging, spatial proteomics, and machine learning.
• Train and evaluate generative AI models to predict multiplex markers from H&E images.

Skills

What you would do

• Translate business needs into detailed technical specifications within a Data Engineering team.
• Collaborate with business teams to identify, analyze, and formalize KPI and data analytics needs, writing precise user stories.
• Contribute to the testing phase by validating developments against functional requirements and business expectations.
• Document semantic models and KPIs available to the business.
• Define acceptance criteria, test plans, and scenarios, and coordinate UAT.
• Use BA standards and tools (Jira, Confluence).

Skills

What you would do

• Take control of the Databricks environment (Python/Spark notebooks, SQL) and code management tools (Git) for actuarial needs.
• Participate in the development of data flows and quality controls for actuarial processes.
• Contribute to the migration of existing actuarial processes to Databricks by developing Python solutions.
• Study and propose improvements for the definition of actuarial assumptions.
• Test, validate, and document the new processes developed.

Skills

What you would do

• Pilot and evolve Microsoft Dynamics 365 and its ecosystem to meet marketing, sales, and loyalty needs.
• Define and optimize CRM processes, customer journeys, and lifecycle cycles for prospects, members, and clients.
• Design workflows, automations, and integrations between CRM, marketing tools, Microsoft Fabric, Dataverse, the website, and business applications.
• Ensure data quality, governance, and valorization: segmentation, deduplication, enrichment, and data exploitation.
• Develop dashboards and indicators, analyze journeys and performance, and identify improvement levers.
• Contribute to lead generation and qualification and improve conversion rates.

Skills

What you would do

• Challenge and redesign electrical integration and solar tracking system architectures (cabling, network, tracking).
• Build data and evidence to prove better models and drive them into industrialized reality.
• Treat recurring field issues as hypotheses to test and drive to resolution.
• Own the data and firmware layer behind tracking accuracy, predictive maintenance, and system health.
• Design and run validation methodologies for tracking precision, repeatability, and long-term fault behavior.
• Build data-driven monitoring/analytics tools (anomaly detection, predictive maintenance models, system health dashboards).

Skills