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Tokio Marine Kiln

IT Assistant Vice President – Data Science

Posted 3 Days Ago
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Remote
Hiring Remotely in UK
Senior level
Remote
Hiring Remotely in UK
Senior level
Manage teams and develop data science capabilities, focusing on predictive modeling, risk assessment, claims analysis, and customer insights. Collaborate with multiple departments to align data initiatives with business objectives.
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Tokio Marine Kiln is searching for an IT Assistant Vice President – Data Science. This role will be employed by Tokio Marine Kiln but will support and report into another Tokio Marine Group subsidiary based in the US, Tokio Marine North America Services (TMNAS).

Reporting into the IT Vice President- Integrated Data Products, the role will be responsible for managing and developing teams, building organisational capability, and setting and communicating direction. It will identify opportunities to deploy extensive knowledge of data science techniques, challenging the status quo, and designing and implementing scalable data science outputs and products. The role will drive collaboration with group companies and departments with IT to support our organisational objectives, select the most appropriate tools and technologies, navigate ethical and data challenges, and effectively communicate and present findings. The role would collaborate with GC Business Leaders in the creation of Data Products and provide direction to Data Scientists within the TMNAS GC’s as well.

This role will be a remote role based in the UK with occasional travel to the US and London office.  

Key responsibilities include:

  • Predictive Modelling: Develop predictive models to enhance risk assessment, fraud detection, and customer segmentation strategies.

  • Claims Analysis: Analyse claims data to identify patterns, improve processing efficiency, and detect fraudulent activity.

  • Pricing Optimization: Work closely with Actuarial teams to optimise pricing models and assess market competitiveness.

  • Risk Assessment: Build advanced models for risk prediction and mitigation, leveraging structured and unstructured data.

  • Data Preparation: Clean, preprocess, and integrate data from multiple sources, including internal systems and external third-party datasets.

  • Oversee the development of the Medalion data architecture for TMNAS and its Group Companies

  • Customer Insights: Identify trends in customer behaviour to improve retention, tailor policy offerings, and enhance the overall customer experience.

  • Collaboration: Partner with Underwriting, Actuarial, and Claims teams to align data science initiatives with business objectives.

  • Visualization: Oversee the creation insights and reports to present insights to non-technical stakeholders, supporting data-driven decisions.

The successful candidate will be proficient in Python, R, or similar programming languages and have experience with SQL and data manipulation in databases. You will also have familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and have strong problem-solving and analytical skills. Knowledge of big data technologies (e.g., Spark, Hadoop, Snowflake, Databricks) is a plus. A Bachelor’s degree in data science, Computer Science, Information Systems, or a related field is preferred. Extensive relevant experience with demonstrable experience implementing data solutions, preferably within the insurance industry is preferred. As well as, strong knowledge of insurance operations, including underwriting, claims, and regulatory compliance preferred.

Please note we are working directly with TMNAS on the recruitment for this role.  You can learn more about TMNAS at www.tmnas.com [tmnas.com]. 

Tokio Marine North America Services (TMNAS) provides professional support services to Tokio Marine Group companies in the United States, including Tokio Marine America, First Insurance Company of Hawaii, and Philadelphia Insurance Companies. Customer service is our focus and our passion! Tokio Marine North America Services adds value in all that we do, providing the best professional service to our business partners, allowing them to achieve their goals. Our talented team delivers actuarial, audit, corporate communications, financial and investment, human capital services, information technology, legal, and payroll expertise to our customers.

The successful candidate will be welcomed into the TMK family to help us further our purpose of enabling our clients to fulfil their ambitions whilst benefiting society and our people. We are committed to ensuring a safe, open, inclusive and empowering environment in which all of our people can thrive. All employees have the opportunity to join one or a number of inclusion network groups or take part in CSR and charitable activities. TMK is signed up to the Disability Confident Employer Scheme and we also accommodate flexible working, subject to the TMK flexible working policy.

As an underwriting firm with over 140 years’ experience of protecting clients from changing risks we put our confidence in the ability and talent of our people. We aim to be a ‘Good Company’ and this means being a great and inclusive company to do business with and being a great place to work. Our culture is founded on our core values of empowerment, inclusion, excellence, integrity, teamwork and innovation. We seek to recruit the best talent by endeavouring to reach diverse talent pools, offering dynamic working arrangements and investing in development.

To make your experience as comfortable as possible, please let us know if you require any reasonable adjustments or additional assistance during your application process. At Tokio Marine Kiln we are here to support you, please be reassured that we will do all that we can to ensure that your specific needs are met. Please reach out to [email protected] in confidence, to discuss any specific assistance or requirements that you have.

If you encounter difficulties submitting your application, please email [email protected].

If you are interested in this vacancy and would like to apply or find out more, please follow the links to apply. You can also share this vacancy with your network using a number of social media platforms.

Top Skills

Databricks
Hadoop
Python
PyTorch
R
Scikit-Learn
Snowflake
Spark
SQL
TensorFlow

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