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Data Scientist Director (predictive Science), Bengaluru

India, Karnataka, Bengaluru
Published 2024-04-04
Expires 2024-04-11
ID #2101480336
Data Scientist Director (predictive Science), Bengaluru
India, Karnataka, Bengaluru,
Published April 4, 2024


Great opportunity for a leader requiring managing a high performing data science & engineering team, that invests in building robust and scalable solutions for various banking domains, and also enable the services to be deployed and integrated into existing business workflow.

This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the business processes of a leading global bank.

As a Senior leader, he/she would help generate insights leveraging state of the art approaches such as and not limited to Generative AI, deep gaming techniques, Generative Adversarial Networks, reinforcement learning, deep time series forecasting etc.

to deliver value to our stakeholders.

Help also in applying their expertise in build world class AI solutions using latest modern platforms and technologies.

Must demonstrate expertise through blogposts, keynotes in reputed conferences, Patents and paper publications through research.

They would also be required to utilize existing frameworks to scale the systems to enterprise class, embedding the core principles of Responsible AI to impact the communities and society at large.

Responsibilities: Develop and successfully take to market AI, Machine Learning, Generative AI offerings, unlock potential growth opportunities to scale our AI operations & analyze as well as solve complex & moderately complex problems Develop deep domain understanding and technology to build and deliver winning solutions and services.

Lead assessments, develop AI led transformation strategies and a multi-year journey Understands, architect and crisply communicate the value of AI led transformation to stakeholders & deliver Strengthen and expand stakeholder relationship by being their trusted partner to embed analytics across business functions and advise them on key trends, best practices, and emerging technologies Provide intellectual leadership and active partner participation for the portfolio of projects & create new solutions where needed, promote reuse & understand the strategic direction set by senior management, clearly communicate team goals, deliverables, and keep the team updated on change Required qualifications, capabilities, and skills: Advanced degree in an analytical field (., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research).

A hands-on leader with at least 8+ years of experience in leading and developing high performing data science and MLOps teams' Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.

Experience in analyzing complex problems and translating it into an analytical approach.

Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using\-variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning.

Experience with analytical programming languages, tools and libraries (Python ecosystem preferred, but R will be considered).

Good understanding of programming best practices, development through governance standards, building for re-use.

Strong leadership, stakeholder management, communication, partnership and teamwork skills.

Ability to work in an extremely fast paced environment, meet deadlines and perform at high standard.

Preferred qualifications, capabilities, and skills Machine Learning Delivery exposure in banking Domain Experience in handling variety of data classifications per regulatory standards.

(3) Experience in SQL and relational databases, Big Data technologies.

Spark/Hadoop and Cloud technologies.

Job details:

Job type: Full time
Contract type: Permanent
Salary type: Monthly
Occupation: Data scientist director (predictive science)

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