Data Scientist - Audit & Assurance in Financial Services
Morson Edge (Financial Services)
London Area, United Kingdom পূর্ণকালীন
প্রথম আবেদনকারী হোন।
- অভিজ্ঞতা
- যেকোনো
- বেতন
- GBP 62,000 – GBP 62,000 / year
- শূন্যপদ
- 1
- পোস্ট করা হয়েছে
- 2 সপ্তাহ আগে
- কাজের ধরণ
- অফিসে
- জীবনবৃত্তান্ত
- আবেদন করা আবশ্যক
কাজের বিবরণ
Job Overview
We are partnering with a top-tier financial services firm seeking a permanent Data Scientist to join their Audit and Assurance team. The role offers a competitive base salary of up to 62000 GBP plus bonus incentives. This position demands supporting clients with model and data risk, alongside creating and deploying AI-driven products to streamline audit and assurance processes.
Key Responsibilities
Candidates will deliver sophisticated data analytics and data science projects using Python, Azure cloud services, Databricks, SQL, and visualization tools such as Tableau and Power BI. The role involves taking ownership of AI and machine learning applications to enhance auditing methodologies, reviewing both internal and vendor-provided machine learning and cloud solutions, and assisting clients with management of extensive datasets, complex modelling, and analytics tasks.
Conveying intricate technical and analytical insights comprehensively and persuasively to a range of audiences—including non-specialist stakeholders—is essential to influence business decisions effectively.
Candidate Profile
- Proficient in problem-solving and analytical thinking.
- Practical experience coding in Python including libraries like pandas, numpy, and scikit-learn.
- Deep understanding of machine learning principles, statistics, and probability theory.
- Experienced in building and deploying both supervised and unsupervised machine learning models.
- Demonstrated ability to manage full lifecycle data science projects.
- Capability to interpret and apply data science solutions with commercial acumen.
- Excellent communication and stakeholder engagement skills.
- Motivated and cooperative team-oriented mindset.