Actuarial Analyst

Job Title: Actuarial Data Scientist Location: Hybrid Starting Salary: Competitive About Us: Evolution HTD is an innovative hire, train, deploy organisation headquartered in Warrington, UK.
We specialise in building data capabilities within the insurance sector.
Our HTD Programme is a fixed 2-year commitment between Evolution and the data consultant, where customers have the option to hire the consultant permanently at the end of the agreed deployment period.
Why Evolution: Dynamic Data Opportunities: Immerse yourself in hands-on experiences working directly with data projects for one or more organisations within our impressive client portfolio.
Tackle challenging data visualisation projects that will enhance your skills, broaden your network, and equip you with the tools to excel in data analysis and deployment.
Ongoing Data Learning: Your journey begins with intensive training in data technologies, but the learning is continuous.
Over several years, you will engage in ongoing education, obtaining industry-recognised qualifications tailored to your abilities, including Data Analysis, Data Visualisation, Advanced Analytical Techniques, and more.
Mentoring and Coaching: Thrive under the guidance of our seasoned data experts and Technical Trainers.
Leverage their expertise to advance your career path in the data field.
Job Description: Key Responsibilities Actuarial Modelling: Develop and maintain actuarial models using Prophet to support pricing, valuation, and risk analysis.
Predictive Analytics: Apply advanced data science techniques , including predictive modelling and machine learning (ML) , to enhance forecasting accuracy and risk assessment.
Programming and Automation: Leverage Python to streamline actuarial processes, automate repetitive tasks, and implement custom modelling solutions.
Data Analysis and Visualisation: Analyse large datasets to identify trends and insights, presenting findings through clear visualisations and reports.
Model Validation and Calibration: Validate actuarial models and predictive models, ensuring accuracy, robustness, and alignment with regulatory requirements.
Collaboration Across Teams: Work closely with data science, finance, and actuarial teams to develop integrated solutions that address business challenges.
Documentation and Communication: Maintain comprehensive documentation of modelling processes and methodologies.
Communicate technical results to stakeholders in a clear, actionable manner.
Requirements Experience: 2-3 years of experience in actuarial analysis or a related field with a strong focus on predictive analytics and data science.
Technical Skills: Proficiency in Prophet for actuarial modelling.
Strong knowledge of Python for data manipulation, modelling, and machine learning implementation.
Experience in data science techniques and ML algorithms for predictive modelling.
Familiarity with large datasets and data processing pipelines.
Soft Skills: Excellent problem-solving and analytical abilities, with a focus on accuracy and detail.
Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Collaborative mindset to work effectively across multidisciplinary teams.
Education: Bachelor's or Master's degree in Actuarial Science, Data Science, Mathematics, or a related field.
Progress towards actuarial qualifications is advantageous.