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Data Scientist - Job Opportunity at Ageas Insurance Limited

Eastleigh, United Kingdom
Full-time
Mid-level to Senior
Posted: January 17, 2025
Remote
GBP 45,000 - 90,000 per year depending on seniority level, with higher ranges for principal positions

Benefits

Enhanced pension scheme with competitive employer contribution
Flexible remote working policy with quarterly team events
Comprehensive health benefits including dental insurance and health screening
31+ days holiday including bank holidays
Annual bonus scheme
Cycle to work scheme with additional transport benefits
Tech purchase programs for personal devices
Comprehensive well-being program including yoga and mindfulness sessions
Professional development and training support
Return to work support program
Employee savings and loan programs

Key Responsibilities

Lead fraud detection initiatives using advanced analytics and machine learning
Develop and implement Deep Learning and Generative AI solutions for unstructured data analysis
Design predictive models for cost estimation in insurance claims
Analyze impact of environmental and economic factors on business operations
Drive customer insight initiatives through advanced data analytics
Participate in innovation workshops and hackathons
Collaborate with stakeholders to identify and implement AI-driven solutions
Ensure ethical AI implementation and responsible data practices

Requirements

Education

Degree, Masters or PhD in a mathematical, scientific, or computational field

Required Skills

Python programming Core data science techniques (clustering, classification, regression) Pandas NumPy Sci-kit-Learn PyTorch (preferred) Transformers (preferred) Strong communication skills Problem-solving abilities Innovation mindset
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Sauge AI Market Intelligence

Industry Trends

Insurance sector is experiencing rapid AI transformation with focus on fraud detection and risk assessment Increasing demand for GenAI expertise in insurance claims processing and document analysis Growing emphasis on ethical AI and responsible data practices in financial services Rising importance of climate risk modeling and environmental impact analysis in insurance

Role Significance

Likely part of a specialized analytics team of 8-15 professionals based on company size and scope
Role spans multiple levels (Data Scientist to Principal) indicating strategic importance and growth opportunities

Key Projects

Fraud detection and prevention systems Claims cost prediction models Customer behavior analysis Climate risk modeling Document processing automation

Success Factors

Strong balance of technical expertise and business acumen Ability to translate complex analysis into actionable insights Experience with insurance-specific use cases Understanding of ethical AI principles and responsible data practices

Market Demand

Very high demand, particularly in insurance sector due to digital transformation initiatives and increasing focus on AI-driven decision making

Important Skills

Critical Skills

Python with data science libraries for production-grade solutions Statistical modeling for risk assessment Communication skills for stakeholder management Ethical AI implementation expertise

Beneficial Skills

Insurance domain knowledge GenAI experience Climate risk modeling Fraud detection expertise

Unique Aspects

Opportunity to work across various insurance domains
Strong focus on ethical AI development
Balanced approach to remote work with quarterly team events
Emphasis on innovation and practical application through hackathons

Career Growth

2-4 years for progression to next level, faster track possible with significant impact

Potential Next Roles

Lead Data Scientist Principal Data Scientist Head of Analytics AI Strategy Director

Company Overview

Ageas Insurance Limited

Major player in UK insurance market focusing on Motor and Household insurance with strong digital transformation agenda

Significant market presence in UK insurance sector with established data science capabilities
Strong UK focus with strategic importance in South England
Progressive with emphasis on work-life balance and professional development
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