About BNP Paribas India Solutions:

Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, European Union’s leading bank with an international reach. With delivery centers located in Bengaluru, Chennai and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 10000 employees, to provide support and develop best-in-class solutions.

About BNP Paribas Group:

 BNP Paribas is the European Union’s leading bank and key player in international banking. It operates in 65 countries and has nearly 185,000 employees, including more than 145,000 in Europe. The Group has key positions in its three main fields of activity: Commercial, Personal Banking & Services for the Group’s commercial & personal banking and several specialised businesses including BNP Paribas Personal Finance and Arval; Investment & Protection Services for savings, investment, and protection solutions; and Corporate & Institutional Banking, focused on corporate and institutional clients. Based on its strong diversified and integrated model, the Group helps all its clients (individuals, community associations, entrepreneurs, SMEs, corporates and institutional clients) to realize their projects through solutions spanning financing, investment, savings and protection insurance. In Europe, BNP Paribas has four domestic markets: Belgium, France, Italy, and Luxembourg. The Group is rolling out its integrated commercial & personal banking model across several Mediterranean countries, Turkey, and Eastern Europe. As a key player in international banking, the Group has leading platforms and business lines in Europe, a strong presence in the Americas as well as a solid and fast-growing business in Asia-Pacific. BNP Paribas has implemented a Corporate Social Responsibility approach in all its activities, enabling it to contribute to the construction of a sustainable future, while ensuring the Group's performance and stability

Commitment to Diversity and Inclusion

At BNP Paribas, we passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued, respected and can bring their authentic selves to work. We prohibit Discrimination and Harassment of any kind and our policies promote equal employment opportunity for all employees and applicants, irrespective of, but not limited to their gender, gender identity, sex, sexual orientation, ethnicity, race, colour, national origin, age, religion, social status, mental or physical disabilities, veteran status etc. As a global Bank, we truly believe that inclusion and diversity of our teams is key to our success in serving our clients and the communities we operate in.

About Business line/Function:

Client1st/CRM+ is one application used by all Relation Managers and Sales within CIB. It is also the Golden source for Client commercial hierarchy which is used by multiple applications both upstream and downstream for on-boarding, trade, and other business purposes.

In BNP, the CRM system caters to Corporate and Institutional Banking (CIB) by integrating with other applications of CIB to gather as much information on Clients or Business Groups as possible, on a single platform. Thus, allowing business to have better visibility on customer's whole portfolio, and to manage the different aspects of it.

Job Title:

Senior Software Engineer

Date:

01-May-2026

Department:

Client Engagement & Financial Security

Location:

Mumbai/Bangalore

Business Line / Function:

CIB CRM

Reports to:

(Direct)

Grade: 

(if applicable)

(Functional)

Number of Direct Reports:

NA

Directorship / Registration:

NA

Position Purpose

The purpose of this position is to onboard a Data Scientist with a minimum of 9 years of experience, who can design, develop, and deploy innovative data-driven solutions to drive business growth and improvement. The ideal candidate will leverage their expertise to create and maintain high-performance, scalable, and efficient data systems, ensuring the highest standards of data quality and integrity to meet the evolving needs of our CRM ecosystem.

Responsibilities

      Overall, 9 to 12 years of experience in Data Scientist. Skilled in Data Modeling, statistical analysis, predictive modeling, and Machine Learning. Proven ability to build forecasting models that drive financial and operational decision-making, with a strong focus on delivering high-impact business solutions.

1.        RAG Architecture & Pipeline Design

§  Design and maintain RAG that connects CRM to LLM to provide grounded, fact bases AI responses.

2.        Vector Search & NLP

§  Implement and maintain vector embeddings for entities to enable semantic search and integration with LLM for generative AI features.

3.        MCP Server Development

§  Design and deploy MCP to bridge LLM with existing Data sources for real-time Retrieval.

4.        Generative AI Integration

§  Utilize LLMs to synthesize retrieved data into accurate, user-friendly natural language responses.

5.        Performance Optimization

§  Evaluate and optimize the end-to-end latency of search and generation.

6.        Data Analysis

§  Collect, analyze, and interpret large datasets to identify trends, patterns, and insights that can inform business decisions.

7.        Technical Leadership

§  Lead code reviews, ensuring adherence to coding standards, best practices, and quality requirements.

§  Act as a technical point of contact for complex database issues, offering solutions and recommendations to resolve them.

8.        Project Coordination and Stakeholder Collaboration

§  Collaborate with project managers, business analysts, and stakeholders to understand business requirements and translate them into technical solutions.

9.        Quality Assurance and testing

§  Collaborate with QA teams to validate data quality, ensure accuracy, and troubleshoot issues identified during testing.

10.     Continuous Improvement

§  Stay up-to on the latest tools, techniques, and best practices.

§  Identify opportunities for process improvements, optimizations, and automation.

11.     Documentation and Standards

§  Ensure adherence to data governance and regulatory requirements, including security and compliance standards.

Contributing Responsibilities

§  Design, develop, implement and maintain AI/LLM products to solve specific business use cases.

§  Explore and understand the CRM data, including customer demographics, behavior, and transactional data.

§  Develop and train predictive models using various machine learning algorithms and techniques.

§  Deploy models in production environments, such as CRM systems.

§  Monitor model performance, identify areas for improvement, and retrain models as necessary.

§  Generate insights and recommendations based on data analysis and modeling results.

§  Communicate insights and results to stakeholders, including business leaders.

§  Identify opportunities to improve CRM data quality, processes, and systems.

§  Collaborate with project managers, business analysts, and stakeholders to understand business requirements and translate them into technical solutions.

§  Stay current with industry trends, new technologies, and emerging methodologies in data science and CRM.

§  Excellent Communication and Listening Skills, attention to details is must.

Technical & Behavioral Competencies

Specific Qualifications (if required)

Skills Referential

Behavioural Skills: (Please select up to 4 skills)

Active listening

Client focused

Communication skills - oral & written

Ability to deliver / Results driven

Transversal Skills: (Please select up to 4 skills)

Ability to understand, explain and support change

Analytical Ability

Ability to develop and adapt a process 

Ability to develop others & improve their skills

Education Level: 

 Bachelor Degree or equivalent

Experience Level

At least 10 years

Other/Specific Qualifications (if required)

Must have skills -

1.       Python, R, Pl/Sql

2.       Deep learning frameworks, bigdata processing, cloud native

3.       PyTorch  or Tensorflow.

4.       Pandas, NumPy, Matplotlib, Scikit-learn 

Good to have technical skills –

1.       CRM Database Schema

2.       Cloud platforms, containerisation, CI/CD, version control,