Distinguished Data Scientist

About the client:

The organization was founded in 1987 with a strong focus on customer-first values, ethical practices, and research-driven investing. Over the years, the organization has grown into a diversified financial services group with a team of 12,000+ professionals. Today, it offers a wide range of services across wealth management, capital markets, asset management, investment banking, and financial advisory. Headquartered in Mumbai, the firm has a strong pan-India presence, serving millions of customers across multiple cities and towns.

Purpose of the role:

Distinguished Data Scientist

The ideal candidate will have deep industry exposure, strong research orientation, and experience delivering complex AI/ML projects in production environments.

Job Details:

• Experience: 10 + years of experience or morehaving driven impactful AI /ML projects
• CTC Bracket: Competitive, aligned with industry standards
• Qualification: BE / B Tech / MCA / BCA / MTech.
• Location: Mumbai
• Notice Period: Immediate to 15 days (Candidates with notice period of less than 30 days are preferred)

Mandatory Skills:

• Proven research experience in AI/ML projects

  , including academic research, applied innovation, or published work

• Strong educational background from a top-tier institution

  , preferably IITs, BITS Pilani, or equivalent reputed universities

Skills Required:

• Strong expertise in

  Machine Learning, Advanced Analytics, and AI systems

• Hands-on experience in

  optimization techniques, mathematical modeling, and signal processing

• Experience designing and scaling

  AI/ML infrastructure and platforms

• Strong research background with

  publications, patents, or academic collaborations

• Ability to mentor senior data scientists and influence technical direction
• Excellent stakeholder management and cross-functional collaboration skills
• Strong programming and analytical problem-solving capability

Roles & Responsibilities:

high-impact AI/ML initiatives

advanced modeling, optimization, and algorithmic solutions

AI infrastructure, frameworks, and best practices

Collaborate with business, engineering, and leadership teams to translate problems into AI solutions

whitepapers, publications, and innovation programs

Mentor and guide data science teams, setting technical standards and vision

Evaluate emerging AI technologies and recommend adoption where relevant

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