Required professional background and skills:

• At least 4 years of experience in machine learning, actuarial or statistical modeling areas;
• Practical knowledge of machine learning and data science concepts, frameworks and algorithms and ability to explain such concepts to business stakeholders;
• Practical knowledge of Python or R including common libraries for machine learning and data processing;
• Practical knowledge of SQL;
• Creativity and willingness to develop data science related offering;
• Team player with strong interpersonal and communication skills;
• University degree in Data Science, Actuarial Mathematics, Statistics or related;
• Very good command of the English language.

We consider as an advantage:

• Exposure to data science in either life or non-life insurance;
• Knowledge of cloud based solutions (AWS/Azure/GCP);
• Knowledge of best practices in MLOps / deploying machine learning models in production;
• Knowledge of explainable AI techniques and visualisations;
• Knowledge of SAS (4GL and macroprogramming, SAS EG, SAS VA);
• Knowledge of version control systems (e.g. Git);
• Experience with big data processing tools (e.g. Spark);
• Experience with data visualization tools (e.g. R shiny, Tableau/PowerBI);
• Exposure to actuarial software (Earnix , Prophet);

Our growing actuarial team is looking for new colleagues to join the projects who will:

• Develop machine learning models (and XAI components to explain those models) in areas such as anomaly detection in IFRS17 calculations, insurance pricing and others
• Develop PoCs of new solutions as well as deploy machine learning models in production
• Actively contribute to strengthening of the data science/machine learning offering within the actuarial practice;
• Develop new products/services and participate in their marketing and sales;
• Manage junior colleagues as part of larger projects, provide on-the-job training and coaching;
• Work with clients throughout the whole project cycle: sales, delivery and closure;
• Work with other Deloitte colleagues from Polish as well as international offices.

• A unique opportunity to develop the advanced analytics offering for insurance business;
• Participation in innovative projects;
• Continuous career development opportunities;
• Friendly team atmosphere and excellent working conditions;
• Wide range of trainings and knowledge development opportunities;
• Access to the state-of-the-art tools and systems;
• Unlimited personal development opportunities (soft skills, project management trainings, foreign language courses, incl. German etc.);
• Flexible working hours and conditions.

Deloitte Central Europe Actuarial & Insurance Solutions (AIS) team operates in a number of Central European countries, also supporting projects in Easter, Western Europe and the Middle East. It is one of the largest groups of insurance consulting actuaries, recognized as the sector leader throughout Central Europe. The Team provides a range of professional actuarial and financial risk management services for the insurance sector and other financial institutions.

Services provided by AIS:

• Life and non-life actuarial modelling and review of calculations and methodologies (Solvency II, MCEV, local GAAP, IFRS 4, IFRS 17),
• Life and non-life reserving, pricing, new products profit testing,
• Finance transformation projects: impact assessment, calculation and reporting processes automation, Prophet modelling enhancements, robotic process automation, etc.,
• Actuarial support: audits, M&A, Due Diligence,
• Data mining and predictive analytics.