Data Scientist – Financial Services

SymphonyAI; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

SymphonyAI is seeking a client-facing Data Science Consultant with AI/ML expertise to design, build, and deploy data science solutions for financial services customers. You will translate business challenges into AI use cases, develop and operationalize models, and integrate them with SymphonyAI products and customer ecosystems.

You will lead discovery, deliver PoCs and pilots, establish robust MLOps and governance, and ensure successful adoption and outcomes across multiple client engagements.

Qualifications

• Client-facing projects including workshops, demos, and requirements elicitation.
• Experience delivering complex technology solutions from requirements to design.
• Excellent written and verbal communication at all levels.
• Strong SQL skills and database knowledge (Oracle, DB2, SQL Server, Postgres).
• Proficiency in Python with data science libraries (Pandas, NumPy, scikit-learn).
• Experience with NLP/LLMs, graph analytics, time series, or anomaly detection.
• Familiarity with Agile SDLC and MLOps concepts.

Responsibilities

• Lead discovery workshops to elicit requirements, define success metrics, and translate problems into AI solutions and delivery plans.
• Provide innovation and leadership in client-centric solution design aligned with SymphonyAI's product offering.
• Create SOW inputs, estimates, and technical approach for services engagements; support pre-sales with demos, POVs, and solution narratives.
• Manage client review, documentation, and sign-off processes for functional documents and artefacts.
• Build and evaluate models for financial services use cases (AML, fraud, risk, surveillance, etc.).
• Apply NLP/LLMs, graph analytics, time series, anomaly detection, and ensemble methods.
• Implement explainability (SHAP, LIME), bias/fairness testing, and model risk controls.
• Deliver PoCs and pilots; productionise models with engineering teams using robust MLOps.

Skills

Client-facing

Solution design

Pre-sales

SQL

Python

NLP/LLMs

MLOps

Data science

Stakeholder management

Agile

Tools

Pandas

NumPy

scikit-learn

Job description

Overview

SymphonyAI is seeking a client-facing Data Science Consultant with AI/ML expertise to design, build, and deploy data science solutions for financial services customers. You will translate complex business challenges into AI use cases, develop and operationalize models (including LLM/NLP, graph, supervised and unsupervised learning), and integrate them with SymphonyAI products and customer ecosystems. You will lead discovery, deliver PoCs and pilots, establish robust MLOps and model governance, and ensure successful adoption and outcomes.

Introduction

Job Title

Data Science - Financial Services

Overview

SymphonyAI is seeking a client-facing Data Science Consultant with AI/ML expertise to design, build, and deploy data science solutions for financial services customers. You will translate complex business challenges into AI use cases, develop and operationalize models (including LLM/NLP, graph, supervised and unsupervised learning), and integrate them with SymphonyAI products and customer ecosystems. You will lead discovery, deliver PoCs and pilots, establish robust MLOps and model governance, and ensure successful adoption and outcomes.

Job Description

Key Responsibilities

Client Engagement & Solution Design

• Lead discovery workshops to elicit requirements, define success metrics, and translate business problems into AI solutions and delivery plans
• Provide innovation and leadership in client-centric solution design aligned with SymphonyAI's product offering
• Create SOW inputs, estimates, and technical approach for services engagements; support pre-sales with demos, POVs, and solution narratives
• Manage client review, documentation, and sign-off processes for functional documents and artefacts

Model Development & Delivery

• Build and evaluate models for key financial services use cases (e.g., anti-money laundering, fraud detection, alert triage, trading surveillance, credit risk, customer intelligence)
• Apply advanced techniques: NLP/LLMs (RAG, summarisation, extraction, classification), graph/network analytics, time series, anomaly detection, ensemble methods
• Implement explainability (SHAP, LIME), bias/fairness testing, performance monitoring, and model risk controls
• Deliver high-quality PoCs and pilots; productionise models with engineering teams using robust MLOps practices

Data Engineering & Integration

• Collaborate with client and internal teams to profile, transform, and validate data; build performant pipelines (SQL/Spark, orchestration tools)
• Integrate AI services with SymphonyAI products and client systems via APIs, microservices, and event streams
• Implement retrieval components (vector databases) and prompt orchestration frameworks for LLM-based solutions

Change Management & Enablement

• Plan and execute user acceptance testing, training, and knowledge transfer to drive adoption
• Mentor customer and internal teams; contribute reusable assets (templates, prompts, pipelines, notebooks)
• Provide thought leadership by sharing best practices and feedback to product and R&D for roadmap influence

Required Skills & Qualifications

• Client-facing experience, including delivering presentations/product demos, running workshops, and managing client expectations
• Experience delivering complex business or technology solutions, from requirements gathering to solution design
• Excellent communication skills, both written and verbal; able to communicate confidently and effectively at any level
• Ability to grasp technical concepts and translate them into business solutions
• Good working knowledge of SQL and experience with databases (Oracle, DB2, SQL Server, Postgres)
• Good working knowledge of Python (Pandas, NumPy, scikit-learn) or similar
• Expertise in industry standard modelling tools and methods
• Experience with software development lifecycle practices (preferably Agile)
• Good knowledge of IT systems, architectures, and terminology
• Strong interpersonal/leadership skills

Preferred Skills & Qualifications

• Understanding of compliance processes and workflows in financial services
• Experience and exposure with Unix (Solaris, AIX, Linux, HP UX)
• Knowledge of financial regulatory modules such as AML, KYC, FATCA, CRS, and related topics

Diversity & Inclusion Statement

We are committed to building a diverse and inclusive team and encourage candidates from all backgrounds to apply.

About Us

SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries.