Data Science with BFSI

4 days ago


Gurgaon, Haryana, India Talent Worx Full time ₹ 15,00,000 - ₹ 20,00,000 per year

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


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