Machine Learning Lead (F/H)

Dalma.; Paris; Remote; EUR 90,000 - 130,000; Full time

Job summary

Dalma is seeking a Machine Learning Lead to own advanced modeling for pricing, churn, and fraud detection within our Insurance team. You will bridge data, product, and insurance, shaping pricing strategies across France and Germany while ensuring model reliability in production.

Join a growing team reporting to the CIO, with direct impact on portfolio growth and retention. Local Paris or fully remote work is possible with monthly trips to Paris HQ.

Qualifications

• At least three years in Machine Learning/Data science with end-to-end model ownership.
• Strong skills in statistical modeling and ML methods; fluent SQL; Python proficient; R a plus.
• Ability to translate technical models into actionable business decisions.

Responsibilities

• Build pricing models from actuarial pure premium, conversion and retention data.
• Develop price elasticity and tariff segmentation models.
• Ensure data quality feeding pricing models and production monitoring.
• Expand ML scope to churn, claims prioritisation and fraud detection over time.
• Collaborate with Product & Tech to integrate models into production; explain complex topics to non-technical stakeholders.

Skills

Machine Learning

Data Science

Python

SQL

R

Communication

Business sense

Tools

BI tool

Git

Job description

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

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 prioritization, 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

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 have

Experience: At least three years in Machine Learning/ Data science — you have owned an ML model end-to-end, from exploration to production

Sector: Insurance preferred, but fintech, retail banking, e-commerce/marketplace, or telecom/SaaS B2C also relevant

Technical 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 tool

Business sense: Strong business appetite; able to translate a technical model into an actionable decision

Communication: Strong communicator, able to make quantitative topics clear to non-technical stakeholders

Curiosity: Eager to grow your scope beyond pricing over time

Languages: Fluent English required; French or German a plus

Location: Local contract (Paris, Berlin), or fully remote work is possible (with regular trips to the Paris headquarters—about once a month)

Nice to have

Insurance literacy: good understanding of insurance KPIs (loss ratio, retention rate, LTV)

Active use of AI tools (LLMs, Copilot) to accelerate modeling and coding

Step 1: HR discovery call

Step 2: Interview with Raphaël, our COO

Step 3: Technical business case with our actuary and Raphaël