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- Tasks: Lead the Predictive Analytics initiative to drive data insights for UKLB's growth.
- Company: Join a dynamic team at UKLB, focused on innovative data solutions in the insurance sector.
- Benefits: Enjoy a permanent position with opportunities for professional growth and development.
- Why this job: Be at the forefront of analytics, shaping the future of insurance with cutting-edge technology.
- Qualifications: Master’s or Ph.D. in relevant fields; experience in data analytics and predictive modeling required.
- Other info: Experience with Azure, Databricks, and GenAI is a plus!
The predicted salary is between 48000 - 84000 £ per year.
Be responsible for taking a leading role in the delivery of UKLB’s Predictive Analytics initiative to support growth across all its lines of business by harnessing data-model-driven insights to meet their ambitions.
- Location: London
- Category: Data
- Type: Permanent
Key Duties (including but not limited to):
- Deliver the Predictive Analytics roadmap to achieve data-model driven stakeholder value for UKLB and their clients. Assist the Head of Predictive Analytics in establishing and developing a mature Data & Analytics culture and its talent to deliver data-model-driven stakeholder value.
- Provision of advanced pensioner demographics and mortality basis based on optimal exploitation of newly acquired data sets, enabling a build-up of a competitive Flow proposition, and enhancing accuracy and efficiency to expand the overall Longevity business portfolio.
- Identify potential solutions to support the Protection line of business on new propositions across underwriting, claims and distribution where Predictive Analytics can deliver new insights and solutions to reduce friction.
- Conceptualize and offer analytics products and services to internal and external stakeholders along the whole value chain by using modern statistical methods like GLM, machine learning and where applicable, Knowledge Graphs and Large Language Models.
Minimum Requirements:
- Degree, Master’s degree or Ph.D. in a relevant field such as Computer Science, Statistics, Economics or Applied Mathematics.
- Several years of experience in key aspects of data analytics within Life and Health reinsurance, including actuarial concepts, risk assessment, and pricing methodologies.
- Deep expertise in data manipulation, statistical analysis, and predictive modelling using tools such as R, Python, SAS, or similar, in a life insurance environment.
- Experience with the following is a plus: Azure components, Databricks, graph analytics, GenAI, Large Language Models, Knowledge Graphs.
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Senior Data Scientist – 28210 employer: The Emerald Group
Contact Detail:
The Emerald Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist – 28210
✨Tip Number 1
Familiarize yourself with the specific predictive analytics tools and methodologies mentioned in the job description, such as GLM, machine learning, and Knowledge Graphs. This will not only help you understand the role better but also allow you to speak confidently about your experience during the interview.
✨Tip Number 2
Network with professionals in the Life and Health reinsurance industry, especially those who have experience in predictive analytics. Engaging with them can provide valuable insights into the role and may even lead to referrals.
✨Tip Number 3
Stay updated on the latest trends and advancements in data analytics, particularly in the context of life insurance. Being knowledgeable about current developments will demonstrate your passion for the field and your commitment to continuous learning.
✨Tip Number 4
Prepare to discuss specific projects or experiences where you've successfully implemented predictive analytics solutions. Highlighting tangible results will showcase your ability to deliver stakeholder value, which is a key aspect of this role.
We think you need these skills to ace Senior Data Scientist – 28210
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Data Scientist position. Understand the key duties and minimum requirements, and think about how your experience aligns with them.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience in data analytics, particularly within Life and Health reinsurance. Mention specific projects or roles where you utilized predictive modeling and statistical analysis.
Showcase Technical Skills: Clearly list your technical skills related to data manipulation and predictive modeling tools such as R, Python, or SAS. If you have experience with Azure components or machine learning, make sure to include that as well.
Tailor Your Application: Customize your application materials to reflect the language and priorities mentioned in the job description. Use keywords from the posting to demonstrate that you understand the company's needs and how you can meet them.
How to prepare for a job interview at The Emerald Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data manipulation, statistical analysis, and predictive modeling. Highlight specific projects where you used tools like R, Python, or SAS, especially in a life insurance context.
✨Understand the Business Context
Familiarize yourself with UKLB’s Predictive Analytics initiative and how it supports growth across various lines of business. Be ready to discuss how your skills can contribute to their goals and enhance stakeholder value.
✨Demonstrate Your Problem-Solving Abilities
Prepare examples of how you've identified solutions using predictive analytics in previous roles. Discuss any innovative approaches you've taken to reduce friction in underwriting, claims, or distribution.
✨Engage with Modern Techniques
Stay updated on modern statistical methods and technologies such as machine learning, Knowledge Graphs, and Large Language Models. Be ready to discuss how these can be applied to create analytics products and services.
