Pricing Data Scientist ES

InShared

Comunidad de Madrid

Híbrido

EUR 70.000 - 90.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Attractive salary
Flexible work environment
Good work-life balance
Team-building activities

Descripción de la vacante

InShared, based in Spain, is seeking an experienced Pricing Data Scientist to enhance their pricing models and optimize profitability. You will collaborate dynamically with a talented team while analyzing market data.

Are you equipped with over 10 years of experience in the Spanish P&C market, specifically in car insurance? Do you possess exceptional quantitative skills and knowledge in machine learning? Join InShared's vibrant team and contribute to innovative insurance solutions while enjoying a hybrid work model.

Formación

  • 10+ years of experience as (pricing) actuary in the Spanish P&C market focused on car insurance.
  • Solid understanding of actuarial and data science techniques.
  • Fluency in English, both spoken and written.

Responsabilidades

  • Work with pricing & analytics team to adjust Spanish pricing models.
  • Analyze market data and perform conversion analysis.
  • Develop alert systems and produce reports on pricing strategies.

Conocimientos

Data analysis
Statistical modeling
Machine learning
SQL
R or Python
Version control using Git
Quantitative and analytical abilities

Educación

University degree in a relevant (mathematical) field

Descripción del empleo

We are InShared: an online insurer that does everything just a little differently. We started as a disruptor in the Dutch insurance world. Now we are on our way to expanding internationally. We use smart technology to make our insurance services simple, fast and fair. Our goal is to build the best digital insurance product in the world.

Today, we are a team of 350 people, but soon we could be 500. To continue growing internationally, we are looking for entrepreneurial and energetic people who want to keep shaking up the insurance industry with us. We need a Pricing Data Scientist, who helps us to predict the likelihood and potential risk and costs of future claims as well as optimal conversion rates.

What will you do?

As our Pricing Data Scientist, you'll be working closely together with talented colleagues on the newest technology. With the pricing & analytics team, you'll be dynamically adjusting our Spanish pricing models, utilizing market data and performing conversion analysis to optimize profitability. This role requires meticulous data analysis and management, aimed at identifying market trends, detecting potential fraud, and enhancing pricing accuracy through statistical modeling, using both classical and AI methods. You will develop alert systems and collaborate closely with cross‑functional teams, providing insightful reports on pricing strategies and work from our Spanish and Dutch office.

What will you bring?
  • 10+ years hands‑on experience as (pricing) actuary in the Spanish P&C market with a focus on commercial pricing in car insurance (experience within a digital insurance model is a plus).
  • A university degree in a relevant (mathematical) field.
  • Exceptional quantitative, logical, and analytical abilities, with a knack for solving complex problems.
  • Solid understanding of actuarial and the latest data science (machine learning) & AI techniques.
  • Proficiency in SQL, R (or Python), foundational AI models and cloud computing.
  • Familiarity with programming best practices, such as version control using Git.
  • Strong communicative skills.
  • Entrepreneurial and proactive mindset.
  • Fluent in English, spoken and written.
What You Can Expect

A challenging job in a fast‑growing company with an attractive salary. You will work hybrid – partly from home and occasionally on site in the Netherlands in a cozy office in the middle of the forest with a restaurant and a sunny terrace in summer. You will be part of InShared's Pricing & Analytics team as well as the team focused on the Spanish market. Our motto is "Work hard, play hard." We value a good work‑life balance and regularly do things together.

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