Google Health Data Scientist jobs
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- Computer FuturesBracknell
- Running data QA checks and validating datasets.
- Experience working with customer data and large datasets.
- This is a great opportunity for someone who enjoys…
- GBS UKManchester
- Experience delivering data-science solutions for large data sets.
- As a data scientist, you’ll develop high-quality code and algorithms within GBS’s data and…
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- What we’re looking for.
- OFGEMCardiff
- Annual leave
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- OFGEMCardiff
- Annual leave
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View similar jobs with this employerDataAnnotationSouthampton- Flexible schedule
- Impact: help shape the future of AI systems built to reason about data and analytics.
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- DataAnnotationMilton Keynes
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AI/ML Engineer
Urgently neededNewInformation Tech ConsultantsGreater London- Familiarity working with large data sets.
- Familiarity with data manipulation libraries (Pandas, NumPy), Understanding of statistics and probability.
- Allegis Global Solutions RPO UK for GSKLondon N1C 4AG
- Production-grade data products and services in the challenging biomedical data space.
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- Allegis Global Solutions RPO UK for GSKLondon N1C 4AG
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- What we’re looking for.
- Medicines and Healthcare Products Regulatory...London
- Pay rise
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- Health and Safety ExecutiveBuxton SK17 9JN
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- JPMorganChaseLondon E14 5JP
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Job Post Details
Data Scientist - job post
3.83.8 out of 5 stars
Bracknell
£112,700 a year - Part-time
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Job details
Pay
- £112,700 a year
Job type
- Part-time
Location
Bracknell
Full job description
Hiring: Data Scientist (Credit Risk) | £490/day | Remote (UK) I'm currently working with a client looking for a hands-on Data Scientist to join their team on a credit risk & customer analytics project. This is a great opportunity for someone who enjoys practical, business-facing data science - working with real data, improving models, and influencing decision-making. What you'll be doing
- Building and improving predictive models (starting with logistic regression, progressing to more advanced methods)
- Working with large customer datasets to support credit risk and onboarding decisions
- Running data QA checks and validating datasets
- Analysing model performance and turning outputs into clear business insights
- Supporting initiatives across fraud, identity risk, and investigations
- Python (increasingly), R
- Azure / Databricks
- Large-scale data environments
- Experience in Data Science / Machine Learning roles
- Strong understanding of statistical modelling & predictive analytics
- Experience working with customer data and large datasets
- Confident communicating insights to non-technical stakeholders
- (Desirable) experience in credit risk, fraud, or financial services
- £490/day (Inside IR35)
- Primarily remote (occasional Cardiff visits ~1x/month)
- Fast interview process - looking to move quickly
- 12 month contract
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