Insurance Data Analytics Leader - Advisory
Recruiter
Listed on
Location
Salary/Rate
Type
Start Date
This job has now expired please search on the home page to find live IT Jobs.
The end client is seeking a Director of Insurance Analytics for a genuine global tier-one leading advisory organisation. The role pays up to 150K plus pension, bonus and extras.
The importance of data is recognised as being a critical asset to the insurance sector. Emerging technologies, effective usage, management, manipulation, protection and insight now significantly boost companies in reducing risk, improving resilience, gaining intelligence, control and trust in their data, comply with regulatory requirements and identify fraud /crime
We would be interested in hearing from candidates that have operated at Director/Head-of/CxO-level within data analytics in the UK Insurance sector.
Typical candidates will be able to demonstrate the below experience within the UK insurance sector:
Ability to build relationships at CXO level
Ability to develop new ideas into structured, deliverable proposals
Track record of leading project delivery and project teams including ability to meet deadlines, overcome challenges, manage stakeholder expectations and produce project deliverables
Ability to identify and address stakeholder needs
Strong analytical and problem solving capabilities
Excellent stakeholder management and interpersonal skills
Excellent presentation and report writing skills
Desire to work in an exciting, yet rapidly changing environment
Desirable Skills:
Experience in building Artificial Intelligence and Machine learning models e.g. Natural Language Processing (NLP), Natural Language Generation (NLG), Deep Learning (Voice and Image recognition), Geospatial Prediction, Multi-layer Perception and other Neural Networks
Experience in multiple tools/language/frameworks within the Big Data (Hadoop, Spark, Hive, MongoDB, Neo4j, Hbase, Cassandra)
Understanding of Artificial Intelligence and Cloud Platforms (e.g. Azure / IBM / Google / AWS)
Advanced data analytics, building models in Python, R, SAS programming languages and libraries
Data analytics and visualisation products such as D3, Power BI, Qlikview, Tableau
Strong SQL and data manipulation skills
Please apply online submitting your CV.