Data Science

Who We Are

Build. Scale. Sustain.

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company. 

• We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)

• We are robust and resilient (100% independent and 0 debt)

• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence

• We are positive, courageous, caring, doers and committed to excellence

Your Role

As a Data Scientist with insurance industry expertise, you will empower our clients to make data-informed decisions by leveraging advanced analytics, machine learning, and domain-specific insights. You will work at the intersection of data, business, and AI to help reimagine insurance offerings that are customer-centric, predictive, and efficient.

• Design and develop machine learning models, predictive algorithms, and statistical analyses to address underwriting, fraud detection, claims optimization, and customer retention.
• Collaborate closely with actuaries, underwriters, product managers, and developers to translate business requirements into actionable data solutions.
• Apply deep understanding of insurance data (e.g., policy data, claims history, risk profiles) to clean, wrangle, and model complex datasets.
• Drive experimentation using A/B testing, segmentation, and scenario analysis to improve insurance pricing and risk scoring models.
• Build scalable data pipelines and maintain reproducibility using cloud platforms (AWS/GCP/Azure) and tools such as Airflow, Spark, or Databricks.
• Present findings through compelling storytelling and data visualization to both technical and non-technical stakeholders.
• Stay abreast of regulatory frameworks such as Solvency II, IFRS 17, and data governance policies in the insurance sector.

Who You Are

• 4+ years of professional experience as a Data Scientist or ML Engineer, with at least 2 years working with insurance data or clients.
• Strong command of statistical modeling, machine learning (supervised, unsupervised, and time-series forecasting), and data mining techniques.
• Proficient in Python and SQL; experience with R is a plus.
• Familiarity with insurance domains such as P&C, Life & Health, Reinsurance, or InsurTech platforms.
• Experienced in working with data stored in relational databases, data lakes, or distributed systems.
• Solid understanding of actuarial methods, risk modeling, and customer lifetime value (CLV) metrics is preferred.
• Comfortable with cloud-native tools (AWS Sagemaker, GCP Vertex AI, Azure ML) and MLOps practices.
• Excellent communication skills and experience working in cross-functional teams or agile environments.

More About PALO IT 

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to: 

• Become a climate net-zero company   

• Deliver projects with a positive impact 

• Train 100% of our workforce on impact   

• Achieve B Corp certification among all our offices across the globe   

• Continuously measure & improve employee happiness  

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges. 

What We Offer 

• Stimulating working environments 

• Unique career path 

• International mobility  

• Internal R&D projects 

• Knowledge sharing 

• Personalized training 

• Entrepreneurship & intrapreneurship 

For more on our team culture and benefits, check out our careers page.