Head Of Data Science

Job Title: Head of Data Science 
*This role does not offer sponsorship*
Company: Growing Insurance Organisation
Location: London (2 days in office) 
Job Type: Full-time
Overview:
As Head of Data Science at a growing insurance organisation, you will play a pivotal role in leveraging advanced analytics and data-driven insights to enhance decision-making processes and drive business strategies. You will lead a team of talented data scientists, collaborate with cross-functional teams, and contribute to the development and implementation of cutting-edge Data Science solutions.
Key Responsibilities:
Team Leadership:
Lead, mentor, and manage a team of Data scientists, ensuring the successful delivery of high-quality analytics projects.
Foster a collaborative and innovative team culture, promoting continuous learning and development.
Strategic Planning:
Collaborate with senior leadership to define Data Science strategies aligned with business goals and objectives.
Identify and prioritise key opportunities for Data Science initiatives that drive business value.
Project Management:
Oversee end-to-end project lifecycle, from problem definition and data exploration to model development, validation, and deployment.
Ensure projects are delivered on time, within scope, and meet quality standards.
Model Development:
Work closely with data scientists to design and develop predictive models, machine learning algorithms, and statistical analysis.
Stay aHead of emerging trends and technologies in Data Science to enhance model effectiveness.
Collaboration:
Collaborate with cross-functional teams, including IT, actuaries, underwriters, and business analysts, to integrate Data Science solutions into business processes.
Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.
Data Governance and Quality:
Implement and enforce best practices in data governance, ensuring the accuracy and reliability of Data used in analytics projects.
Collaborate with data engineers and IT teams to optimise data infrastructure.
Performance Monitoring:
Establish key performance indicators (KPIs) and metrics to monitor the impact of Data Science initiatives on business outcomes.
Continuously evaluate and improve model performance through ongoing monitoring and optimization.
Qualifications:
Master's or Ph.D. in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Data Science).
Proven experience (5 years) in a leadership role within Data Science, preferably in the insurance or financial services industry.

Experience in leading and growing a Data Science team of 10-30 people 
Strong understanding of insurance business processes and challenges.
Proficiency in programming languages such as Python or R.
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and statistical analysis tools.
Excellent communication and interpersonal skills.
Benefits:
Competitive salary and performance-based bonuses.
Comprehensive health, dental, and vision insurance.
Retirement savings plans.
Professional development opportunities.
Work-life balance initiatives.
If you are a strategic thinker with a passion for leveraging Data Science to drive business outcomes, we invite you to join their dynamic team and contribute to the future success of our leading insurance organisation. Apply today!

InterQuest Group is acting as an employment agency for this vacancy. InterQuest Group is an equal opportunities employer and we welcome applications from all suitably qualified persons regardless of age, disability, gender, religion/belief, race, marriage, civil partnership, pregnancy, maternity, sex or sexual orientation. Please make us aware if you require any reasonable adjustments throughout the recruitment process.