Data Scientist - Fraud Detection

Prima; Madrid (IA); On-site; USD 80,000 - 110,000; Full time

Benefits offered by this job

Hybrid working model

Access to learning resources

Private healthcare

Gym discounts

Wellbeing programs

Job summary

Prima is seeking a qualified candidate to design and improve fraud detection systems that prioritize high-risk claims. You will work closely with teams across the company and develop expertise in identifying emerging fraud patterns.

The successful candidate will have 3+ years of experience in data science and strong Python programming skills. This position offers a hybrid work environment, along with benefits like private healthcare and personal development resources.

Qualifications

• 3+ years of experience in data science or applied machine learning.
• Strong analytical skills with a quantitative mindset.
• Skilled in Python programming and data-oriented programming languages.

Responsibilities

• Design and improve fraud detection systems.
• Collaborate across teams including fraud analysts and engineers.
• Develop expertise in fraud dynamics and patterns.

Skills

Data science experience

Analytical mindset

Python programming

Problem-solving

Knowledge of Spark

Tools

Git

SQL

Pandas

Sklearn

Keras

XGBoost

LightGBM

Job description

What you’ll do

• Design and improve fraud detection systems that prioritize high-risk claims, optimizing the trade-off between detection accuracy and operational efficiency
• Collaborate across teams and functions, working closely with fraud analysts, engineers, and product managers
• Develop deep expertise in fraud dynamics, identifying emerging fraud patterns, understanding how they evolve across the insurance lifecycle, and translating these insights into effective detection and prevention strategies, for example identifying suspicious networks of related claims, synthetic entities, or anomalous behavioral patterns

What we’re looking for

• Extensive experience (3+ years) in data science or applied machine learning, leading end-to-end initiatives in complex technical domains and delivering measurable business impact
• Strong analytical and quantitative mindset able to translate data into insights, assess model performance, and guide decision-making with evidence and clarity
• Structured problem solver skilled at framing ambiguous challenges, defining success metrics, and communicating results to both technical and non-technical audiences
• Strong Python programming skills, especially in the data domain, and fluent use of Git
• Knowledge of Spark, SQL or any other data-oriented programming language and proficiency with standard data wrangling and modeling libraries (Pandas, Sklearn, Keras, XGBoost, LightGBM, etc.)

Nice-to-Have

• Experience in analytical fraud detection in the Insurance, Finance or Law Enforcement domain
• In-depth knowledge of graph databases (Neo4j, AWS Neptune) and analytics (NetworkX, GNN) or explainability applied to anomaly detection
• Knowledge of BI tools (Tableau or similar)

Benefits

• Enjoy hybrid working, with a mix of home and office days. Plus, for up to 30 days per year, work from anywhere.
• Get access to learning resources, mentorship and a growth plan tailored to you.
• Enjoy private healthcare, gym discounts, wellbeing programs and mental health support.

Prima is proud to be an equal opportunity employer. Need accommodations during the process? Email us at [e-mail].