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 wit

📌 Data Scientist – Financial Services Bengaluru (India)
🏢 SymphonyAI
📍 India