Machine Learning Lead (F/H)

Dalma; Paris; Hybride; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Dalma is seeking a Machine Learning Lead to own the advanced modeling layer for its Insurance team. You will design, deploy and monitor ML models at the intersection of data, product and insurance, impacting pricing, churn reduction and retention across France and Germany.

You will collaborate with Product & Tech, report to the CIO, and extend ML scope over time to fraud detection and operations prioritisation; regular trips to Paris HQ may be required while remote work is possible.

Qualifications

• At least three years in Machine Learning/Data Science, owning an ML model end-to-end.
• Fluent Python; SQL proficiency; data wrangling and modeling experience.
• Able to translate technical models into actionable business decisions and communicate with non-technical stakeholders.

Responsabilités

• Design and deploy pricing and predictive models to optimise selling price, conversion and retention.
• Build price elasticity and tariff segmentation models.
• Ensure data reliability and model quality feeding pricing models.

Connaissances

ML model end-to-end

Statistical modeling

Python

SQL

Communication

Business acumen

Autonomy

Outils

Python

R

SQL

BI tool

Description du poste

Dalma is a fast growing pet health insurer for dogs and cats in Europe.

We are building out our Insurance team and hiring a Machine Learning Lead to own the advanced modeling layer.
You will operate at the intersection of data, product and insurance, with direct impact on the growth and retention of our portfolio across France and Germany.

You will join the Insurance team and report directly to our Chief Insurance Officer (CIO).

The Insurance team is composed of:

• Our CIO (currently being recruited)
• A senior actuary
• A team of two data analysts

You will also work closely with:

• Our Product & Tech teams
• Our founders

Modeling & pricing strategy

• Design and deploy models that optimise our selling price from the actuarial pure premium, conversion and retention data
• Build price elasticity and tariff segmentation models
• Ensure the reliability and quality of data feeding into our pricing models

Expanding the ML scope

• Progressively extend your scope beyond pricing: churn prediction, claims operations prioritisation, fraud detection
• Become the go-to technical reference for all predictive modeling at Dalma
• Own monitoring, retraining and long-term reliability of models in production

Cross-functional collaboration

• Work closely with our actuary on claims data and pure premium assumptions
• Translate the CIO’s strategic priorities into concrete model specifications
• Collaborate with Product & Tech for model integration into production
• Make complex quantitative topics accessible to non-technical audiences

Must haveExperience: At least three years in Machine Learning/ Data science — you have owned an ML model end-to-end, from exploration to productionSector: Insurance preferred, but fintech, retail banking, e-commerce/marketplace, or telecom/SaaS B2C also relevantTechnical skills: Strong expertise in statistical modeling and ML (logistic regression, survival models, clustering, etc.) — Python proficient, R a plus; fluent SQL; comfortable with a BI toolBusiness sense: Strong business appetite; able to translate a technical model into an actionable decisionAutonomy: Full ownership from exploration → model → production → monitoringCommunication: Strong communicator, able to make quantitative topics clear to non-technical stakeholdersCuriosity: Eager to grow your scope beyond pricing over timeLanguages: Fluent English required; French or German a plusLocation: Local contract (Paris, Berlin), or fully remote work is possible (with regular trips to the Paris headquarters—about once a month)Nice to haveInsurance literacy: good understanding of insurance KPIs (loss ratio, retention rate, LTV)Active use of AI tools (LLMs, Copilot) to accelerate modeling and coding