Job Detail
FinTech Data Scientist: Fraud & Billing ML Innovator
Data Science and AI
Full–time
Salary
—
Description
A leading internet technology company in London seeks a Data Scientist to join its FinTech Data Science team. You will apply machine learning and statistical analyses to solve challenges related to Billing and Fraud. Responsibilities include developing fraud detection models and collaborating with cross-functional teams. Ideal candidates should have a quantitative background with strong knowledge in machine learning, SQL, and Python. This role offers an inclusive environment aiming to innovate FinTech solutions.
Hard Skills
4
| Skill | Source | Confidence |
|---|---|---|
| Python | llm_hard |
100%
|
| SQL | llm_hard |
100%
|
| Supervised Learning | llm_hard |
80%
|
| Classification Algorithms | llm_hard |
80%
|
Soft Skills
2
| Skill | Source | Confidence |
|---|---|---|
| Cross-Functional Communication | llm_soft |
100%
|
| Collaboration | llm_soft |
100%
|
Apply Options
API Logs for this Job
| Query | Country | Status | Response ms | Created |
|---|---|---|---|---|
| FinTech Data Scientist: Fraud & Billing ML Innovator | extracted | 3435 | 2026-03-28 10:47 | |
| FinTech Data Scientist: Fraud & Billing ML Innovator | classified | 538 | 2026-03-28 10:21 | |
| data scientist in London, UK | gb | processed | 11050 | 2026-03-28 10:07 |
Raw JSON
{
"job_id": "ocr_WgipcvoZ4iGAAAAAAA==",
"job_city": "London",
"job_state": null,
"job_title": "FinTech Data Scientist: Fraud & Billing ML Innovator",
"job_salary": null,
"job_country": "GB",
"job_benefits": null,
"job_latitude": 51.5072178,
"job_location": "London",
"job_onet_soc": "15111100",
"apply_options": [
{
"is_direct": false,
"publisher": "Job Search Place UK",
"apply_link": "https://www.jobsearchplace.co.uk/jobs/fintech-data-scientist-fraud-and-billing-ml-innovator-3077657818?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
},
{
"is_direct": false,
"publisher": "Talents By StudySmarter",
"apply_link": "https://talents.studysmarter.co.uk/companies/lendable/london/data-scientist-ml-risk-modeling-in-fintech-remote-27124317/?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
},
{
"is_direct": false,
"publisher": "The Career Wallet",
"apply_link": "https://thecareerwallet.com/job/fintech-data-scientist-fraud-billing-ml-innovator-53703509753022689?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
}
],
"employer_logo": "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQ_Z1UsUpqEphm0necu-hIrjY4_rvw-Bf8LAIF7&s=0",
"employer_name": "CloudFlare",
"job_is_remote": false,
"job_longitude": -0.12758619999999998,
"job_posted_at": "26 days ago",
"job_publisher": "Job Search Place UK",
"job_apply_link": "https://www.jobsearchplace.co.uk/jobs/fintech-data-scientist-fraud-and-billing-ml-innovator-3077657818?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic",
"job_highlights": {},
"job_max_salary": null,
"job_min_salary": null,
"job_description": "A leading internet technology company in London seeks a Data Scientist to join its FinTech Data Science team. You will apply machine learning and statistical analyses to solve challenges related to Billing and Fraud. Responsibilities include developing fraud detection models and collaborating with cross-functional teams. Ideal candidates should have a quantitative background with strong knowledge in machine learning, SQL, and Python. This role offers an inclusive environment aiming to innovate FinTech solutions.",
"job_google_link": "https://www.google.com/search?ibp=htl;jobs&q&htidocid=ocr_WgipcvoZ4iGAAAAAAA%3D%3D&hl=en-GB&shndl=37&shmd=H4sIAAAAAAAA_xXLIQ7CQBBA0WCrUahRCESXkGCKA1JC0irwzbDdbJcsM83OlFRyB27A0TgJxXzz87LPLKvLQFdnOziiIlxscKRBtIAy4dDCEvYhxkAe6grORPxE5QTf1xvufANxmCbLBCdmH91i16n2UhgjEnMvihpsbvlhmNyNRzMh-aeRDpPrI6prNtv1mPfkV_ND5KEt43QgEFRMLdMP9jSRG6UAAAA&shmds=v1_ATWGeeMseStVdfj3IwonP5s9cYDiP3_M2YWt87KbKSo2Msjj9A&source=sh/x/job/li/m1/1#fpstate=tldetail&htivrt=jobs&htiq&htidocid=ocr_WgipcvoZ4iGAAAAAAA%3D%3D",
"employer_website": "https://www.cloudflare.com",
"job_onet_job_zone": "5",
"job_salary_period": null,
"job_apply_is_direct": false,
"job_employment_type": "Full–time",
"job_employment_types": [
"FULLTIME"
],
"job_posted_at_timestamp": 1772409600,
"job_posted_at_datetime_utc": "2026-03-02T00:00:00.000Z"
}