Job Description
Data Science + BFSI domain with the below mandatory skills.
Must-Have: Agent Framework, RAG Framework, Chunking Strategies, LLMs, AI on cloud
Services, Open Source Frameworks like Langchain, Llama Index, Vector Database, Token
Management, Knowledge Graph, Vision
Exp Range - 6 to 9 years
Requirements
Major Duties & Responsibilities
Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business
questions
Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment
and operationalization of projects
Influence machine learning strategy for Digital programs and projects
Make solution recommendations that appropriately balance speed to market and analytical soundness
Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor
Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R,
TensorFlow)
Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations.
Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations,
scenarios, and stories.
Create algorithms to extract information from large, multiparametric data sets.
Deploy algorithms to production to identify actionable insights from large databases.
Compare results from various methodologies and recommend optimal techniques.
Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations,
scenarios, and stories.
Develop and embed automated processes for predictive model validation, deployment, and implementation
Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science
Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate
reusability, and reliability upon deployment
Lead discussions at peer review and use interpersonal skills to positively influence decision making
Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make
impactful contributions to internal discussions on emerging practices
Facilitate cross-geography sharing of new ideas, learnings, and best-practices
Required Qualifications
Bachelor of Science or Bachelor of Engineering at a minimum.
6-9 years of work experience as a Data Scientist
A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to
quickly cycle hypothesis through the discovery phase of a project
Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL,
Hadoop/Hive, Scala)
Good hands-on skills in both feature engineering and hyperparameter optimization
Experience producing high-quality code, tests, documentation
Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML,
Synapse, Databricks
Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine
learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies
Proficiency in statistical concepts and ML algorithms
Good knowledge of Agile principles and process
Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team
Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and
results
Self-motivated and a proactive problem solver who can work independently and in teams
Benefits
Work with one of the Big 4's in India
Qualification
Bachelor's Degree
Key skill Required
- SQL
- Python
- AWS
- Algorithms
- Azure
- Azure ML
- Data Analysis
- Data Lake
- Analysis
- Azure Data Factory
- BFSI
- Data Management
- Data Science
- Database
- Decision Making
- Deep Learning
- Design
- Documentation
- Facilitate
- Forecasting
- Geography
- Implementation
- Influence
- Interpersonal Skills
- Leadership
- Learning
- Learning Strategy
- Learning Techniques
- Machine Learning
- Maintainability
- Management
- Microsoft Azure
- Model Validation
- Optimization
- Peer Review
- Proactive
- Production Deployment
- Professional Services
- Programming Software
- Robustness
- Scalability
- Science
- Security
- Statistics
- Strategy
- TensorFlow
- Thought Leadership
- Validation
- Work Independently
