Hiring Sr.Data Scientist( Banking )-A Singapore-based Analytics firm
- A Singapore based
- 8 - 12 years
- Bengaluru
- 1 day ago
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Job Description
Role & responsibilities
We are seeking an experienced Senior Data Scientist with a strong background in traditional Machine Learning (ML), AI, and expertise in Azure Fabric to work in the Finance Department of a Bank. The ideal candidate will play a key role in applying advanced analytics to drive business insights, improve processes, and enhance decision-making in the banking sector. The candidate should be proficient in ML models and AI technologies with a focus on real-world banking applications and have hands-on experience with Azure Fabric.
Mandatory Skills
- Proven experience in traditional Machine Learning (ML) and Artificial Intelligence (AI).
- Strong experience in Azure Fabric and its integration with various banking systems.
- Expertise in Data Science methodologies, predictive modelling, and statistical analysis.
- Solid understanding of the Finance domain with a focus on banking processes and challenges.
- Hands-on experience with cloud platforms (Azure).
- Experience in the banking or financial services industry.
Key Responsibilities
- Design and implement Machine Learning (ML) and Traditional Artificial Intelligence (AI) models to solve complex business problems in the finance sector.
- Work closely with business stakeholders to understand requirements and translate them into data-driven solutions.
- Develop and deploy ML models on Azure Fabric, ensuring their scalability and efficiency.
- Analyze large datasets to identify trends, patterns, and insights to support decision-making.
- Collaborate with cross-functional teams to integrate AI/ML solutions into business processes and banking systems.
- Maintain and optimize deployed models and ensure their continuous performance.
- Keep up to date with industry trends, technologies, and best practices in AI and ML, specifically within the finance industry.
Qualifications
- Education: Bachelors/Masters degree in Computer Science, Data Science, Engineering, or related field.
- Certifications: Relevant certifications in Data Science, Azure AI, or Machine Learning is a plus.
Technical Skills
- Expertise in Machine Learning (ML) algorithms (Supervised and Unsupervised).
- Strong experience with Azure Fabric and related Azure cloud services.
- Familiarity with Python and data science libraries (Pandas, Scikit-learn, TensorFlow).
- Experience in AI and Deep Learning models, including neural networks.
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Compensation & Benefits
- Competitive salary and annual performance-based bonuses
- Comprehensive health and optional Parental insurance.
- Optional Retirement savings plans and tax savings plans.
- Work-Life Balance: Flexible work hours
KRA (Key Result Areas)
- Timely and effective delivery of ML/AI models that solve complex business problems.
- Continuous improvement and optimization of deployed models.
- High-quality insights and data-driven solutions delivered for business stakeholders.
- Client satisfaction with AI/ML solutions implemented within the banking domain.
KPI (Key Performance Indicators)
- Number of successful ML/AI models deployed and their performance post-deployment.
- Model accuracy and predictive capability (based on business goals).
- Client feedback on AI-driven solutions.
- Completion time for delivering actionable data-driven insights.
- Team collaboration and mentoring effectiveness with junior data scientists
Preferred candidate profile
Soft Skills
- Excellent problem-solving and analytical skills.
- Strong communication skills, with the ability to present complex data insights clearly to non-technical stakeholders.
- Ability to work effectively in a collaborative, cross-functional environment.
- Strong attention to detail and ability to manage multiple tasks simultaneously.
- A passion for continuous learning and staying updated on new technologies.
Good to Have
- Familiarity with DevOps practices for ML/AI model deployment.
- Knowledge of cloud-native architecture and containerization (Docker, Kubernetes).
- Familiarity with Deep Learning and Natural Language Processing (NLP) techniques.
- Familiarity with SQL and NoSQL databases.
- Experience with version control systems (Git, GitHub, etc.).
Work Experience
- 8-12 years of experience in Data Science, with hands-on experience in ML, AI, and working within the finance or banking industry.
- Proven track record of designing and deploying machine learning models and working with Azure Fabric.
- Experience with client-facing roles and delivering solutions that impact business decision-making
Job Classification
Industry: Analytics / KPO / ResearchFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full timeContact Details:
Company: A Singapore basedLocation(s): Bengaluru
Keyskills: Banking Analytics Data science azure Machine Learning Algorithms
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