Skip to main content
Bjorn Blom headshot

Bjorn Blom

Consultant
1101 BE, NL
31686810225

Bjorn Blom works as a data science consultant in the Amsterdam office of Milliman. He joined the firm in 2020. Having both consultancy and data science experience, Bjorn is uniquely qualified to assist clients with their data-driven challenges.

バイオをダウンロードDownload

Experience

Bjorn has more than five years of experience in data science. Before joining Milliman, he worked in a similar role at Ortec Finance. At Milliman, Bjorn has worked on projects relating to machine learning development, insurance pricing, data quality, data engineering, and visualization. He has also been an interim Team lead/PO.

Publications

Read their latest work

Article

Data quality in the insurance sector: How machine learning and AI can drive improvement

20 March 2026 - by Bjorn Blom, Daniël van Dam
As data informs decisions from pricing and underwriting to claims management and risk assessment, new technologies can help insurers to maintain and elevate data quality standards.
Article

Market insight from year-end 2022 SFCRs: Analysis of non-life insurers based in the Netherlands

27 September 2023 - by Peter Franken, Ji Kwen Ng, Bjorn Blom, Rens IJsendijk
We analyse the SFCRs of the 10 largest non-life entities of Netherlands insurers, based on the volume of gross written premiums in 2022.
Article

オランダの損害保険会社のソルベンシーおよび財務状況報告書の分析：2022年

27 September 2023 - by Peter Franken, Ji Kwen Ng, Bjorn Blom, Rens IJsendijk
ミリマンでは、オランダの損害保険会社の2022年の総収入保険料上位10社のSFCRsについて分析しました。
Article

Anomaly detection techniques in fraud detection, performance optimization, and data quality

08 March 2023 - by Bjorn Blom, Jan Thiemen Postema, Rens IJsendijk, Judith Houtepen, Job Prince
Methods to detect anomalies can be used to find fraudulent claims in insurance, especially in products with a large frequency of payments, such as in healthcare.
Article

不正検出、パフォーマンスの最適化、そしてデータ品質における異常検出手法

08 March 2023 - by Bjorn Blom, Jan Thiemen Postema, Rens IJsendijk, Judith Houtepen, Job Prince
異常を検出する様々な手法は、特に医療保険など支払頻度が多い商品など、保険の不正請求を検出するためにも使用できます。
Article

2021年末SFCRsによる市場インサイト：オランダを拠点とする生命保険会社の分析

30 December 2022 - by Lotte van Delft, Steven Hooghwerff, Bjorn Blom
本稿は、オランダを拠点とする生命保険会社の2021年末ソルベンシーおよび財務状況報告書（Solvency and Financial Condition Reports、SFCRs）の実例について考察します。
Article

Market insight from year-end 2021 SFCRs: Analysis of life insurers based in the Netherlands

30 December 2022 - by Lotte van Delft, Steven Hooghwerff, Bjorn Blom
This briefing note looks at the year-end 2021 Solvency and Financial Condition Reports for a sample of life insurers based in the Netherlands.