Role: Data Analyst / Scientist

Salary: £29,000 – rising to £31,500 within 12 months

Location: Liverpool City Centre (4 days onsite)

About:

This role is a for a client that provides Healthcare insurance plans for companies and has been established for over 100 years!

The Data Analyst / Scientist will support the Underwriting & Analytics team by utilising internal systems and third-party data to deliver actionable insights and innovative solutions.

The successful candidate will play a pivotal role in producing competitive quotes for new business, deploying machine learning algorithms across various datasets, and driving operational and strategic improvements. This role involves a blend of data analysis, predictive modelling, and process optimisation to enhance business outcomes.

Responsibilities:

Data Analysis and Insights:

• Analyse internal systems and third-party data to produce competitive quotes for new business.
• Provide data-driven insights to inform underwriting decisions and pricing strategies.
• Monitor and report on key metrics, including quote conversion rates and policyholder claims patterns.

Machine Learning and Predictive Analytics:

• Build and deploy machine learning algorithms across all business datasets.
• Develop models to improve quote conversion rates and identify instances of policyholder claims fraud.
• Implement policyholder scoring systems based on claims experience to enable automated claims payments.

Operational Improvements:

• Design and implement internal productivity tracking to identify and resolve resource bottlenecks before they impact operations.
• Assist in cross-selling initiatives by analysing claims data to identify customers who could benefit from additional products or services (e.g. training courses).

Data Strategy and Governance:

• Maintain and ensure the integrity, accuracy, and security of datasets used in analysis and model development.
• Work collaboratively with IT to ensure optimal data infrastructure and accessibility.

Collaboration and Stakeholder Engagement:

• Collaborate with all business units to align data solutions with business objectives.
• Communicate complex findings and insights in a clear and actionable manner to non-technical stakeholders.

Continuous Improvement:

• Stay informed about advancements in data analytics, machine learning, and industry-specific technologies.
• Identify opportunities to refine and enhance analytical processes and tools.

Reporting and Documentation:

• Prepare detailed documentation of models, methodologies, and findings.
• Produce regular and ad-hoc reports for senior management and stakeholders.
• Compliance and Risk Management:
• Ensure all data analysis and machine learning initiatives comply with regulatory and ethical standards.
• Identify potential data-related risks and propose mitigation strategies.

Skills:

• Strong analytical skills with proficiency in data analysis tools (e.g., Python, R, SQL).
• Experience with machine learning frameworks (e.g., TensorFlow, scikit-learn).
• Knowledge of statistical modelling and predictive analytics techniques.
• Proficient in data visualisation tools (e.g., Power BI, Tableau).
• Familiarity with data governance, security, and regulatory compliance requirements.
• Strong problem-solving skills and attention to detail.
• Excellent written and verbal communication skills.