12d 3h ago
Lead Data Scientist
Wise·Data Scientist (AI/ML) · Technology
🏢Hybrid
|London, United Kingdom|Relocation£90.5k - £127k GBP/yr
awsazuregcphadoop+5
Lead Data Scientist
Wise | Data Scientist (AI/ML) | Technology
Hybrid
Full Time
United Kingdom, London
£90.5k - £127k GBP/yr
Position:
Lead Data Scientist - Liquidity
Company:
Wise
Compensation:
90500 - 127000 GBP Annual
Location:
United Kingdom, London
Employment type:
Not specified
Work Arrangement:
Hybrid working model
Short Summary:
We are seeking a talented Lead Data Scientist with expertise in Liquidity management modelling to join our dynamic Treasury team. This role focuses on driving our models and optimising their impact on our liquidity usage.
Responsibilities:
- Liquidity management: Develop supply and demand forecasts, conduct data analysis, and collaborate with engineering teams.
- Liquidity Risk modelling and analysis: Develop models for understanding liquidity consumption, document and present model results to stakeholders.
Requirement:
- Strong Python knowledge and ability to read through code.
- Experience with big data technologies (Hadoop, Spark) and cloud platforms (AWS, GCP, Azure).
- Strong knowledge in statistics, machine learning, linear algebra, optimisation.
- Good communication skills and strong problem-solving abilities.
Benefits:
- Stock options in a profitable company.
- Annual personal development budget for books, courses, or conferences.
- Visa and relocation support.
Lead Data Scientist - Liquidity
Company:
Wise
Compensation:
90500 - 127000 GBP Annual
Location:
United Kingdom, London
Employment type:
Not specified
Work Arrangement:
Hybrid working model
Short Summary:
We are seeking a talented Lead Data Scientist with expertise in Liquidity management modelling to join our dynamic Treasury team. This role focuses on driving our models and optimising their impact on our liquidity usage.
Responsibilities:
- Liquidity management: Develop supply and demand forecasts, conduct data analysis, and collaborate with engineering teams.
- Liquidity Risk modelling and analysis: Develop models for understanding liquidity consumption, document and present model results to stakeholders.
Requirement:
- Strong Python knowledge and ability to read through code.
- Experience with big data technologies (Hadoop, Spark) and cloud platforms (AWS, GCP, Azure).
- Strong knowledge in statistics, machine learning, linear algebra, optimisation.
- Good communication skills and strong problem-solving abilities.
Benefits:
- Stock options in a profitable company.
- Annual personal development budget for books, courses, or conferences.
- Visa and relocation support.
Required Skills
awsazuregcphadooplinear_algebramlpythonsparkstatistics
Required Languages
🇬🇧 English
Relocation support available
Key competency: Data Scientist (AI/ML)