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    Job · 11356082

    Symphonyai logo

    Data Scientist – Financial Services

    Symphonyai · Bengaluru · onsite · Posted 69d ago

    Undisclosed0–2 yrsfulltimeSourced fromLinkedIn

    About a minute. You'll make an account on the way through.

    About this role

    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.

    Sourced from linkedin

    Skills

    Apache SparkRetrieval Augmented GenerationDB2PostgresqlapisMLOpsNetwork AnalyticsAixSolarisNatural Language ProcessingTime Seriesvector databasesLarge Language Models (LLMs)shapAnomaly DetectionEnsemble MethodsOracle DBUnixScikit-LearnHP-UXLIMEevent streamsGraph analyticsPythonSQLPandasNumpyMicroservicesSQL ServerLinuxAgileclassificationunsupervised learningSupervised LearningSummarizationExtractionArtificial IntelligenceMachine LearningVector DatabaseAPIPerformance monitoringSummarisationexplainabilitybias testinggraphprompt orchestration frameworksfairness testingmodel risk controlsPrompt orchestration

    About SymphonyAI

    Symphonyai logo

    Symphonyai

    IT Services & Consulting

    51

    employees

    2017

    9 years old

    Palo Alto, California

    United States

    About

    About the Company

    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 enterprise IT. Since its founding in 2017, SymphonyAI has grown to today serve 2000+ Enterprise customers globally and has grown to 2,500 talented leaders, data scientists, and other professionals across over 30 countries.

    Industries

    IT Services & Consulting

    Employee ratings

    98 reviews

    2.9/ 5

    Culture

    2.9

    Career growth

    2.6

    Work-life

    3.2

    Employees rate it well for

    Work Life Balance13Work Culture12Senior Management11Learning9Job Security8

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