Senior Data Scientist

Job Title: Senior Data Scientist
Location: Bangalore
Experience: 8 - 12 Years

Job Summary

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: Bachelor’s/Master’s 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.

 

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.

 

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.

 

Contact: hr@bigtappanalytics.com