Data Science Consultant

Introduction

Job Title: Data Science Consultant

Overview: SymphonyAI Financial Services is a leading provider of advanced AI-driven solutions for financial crime and compliance management. Our cutting-edge technology leverages artificial intelligence to deliver actionable insights, enhance decision-making, and drive operational efficiency. We are 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 and Solution Design

  Lead discovery workshops to elicit requirements, define success metrics, and translate business problems into AI solutions and delivery plans.Provide innovation, leadership, and influence in the design of client-centric solutions 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 the client review and sign-off process for the suite of functional documents and artefacts.Take overall responsibility for the documentation of functional artefacts.

• Model Development and 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, and ensemble methods.Implement explainability (e.g., SHAP, LIME), bias/fairness testing, performance monitoring, and model risk controls to meet regulatory and enterprise standards.Deliver high-quality PoCs and pilots; productionise with engineering using robust MLOps practices (CI/CD, model registry, experiment tracking, feature management).

• Data Engineering and Integration

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

• Change Management and Enablement

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

Required Skills & Qualifications:

• Expertise in industry-standard modelling tools and methods.
• Client-facing experience is essential, including delivering presentations and product demonstrations, running workshops, and managing client's expectations.
• Experience in delivering complex business or technology solutions, from gathering requirements to designing solutions.
• Excellent communication skills, both written and verbal; able to communicate confidently and effectively at any level of the organisation.
• Ability to grasp technical concepts and translate them into business solutions.
• Good working knowledge of SQL and experience with databases such as Oracle, DB2, SQL Server, and Postgres.
• Good working knowledge of Python (Pandas, NumPy, and scikit-learn) or similar.
• An understanding of compliance processes and workflows within the financial services industry is advantageous.
• Experience with software development lifecycle practices (preferably Agile).
• Good knowledge of IT systems, architectures, and terminology.
• Strong interpersonal/leadership skills.
• Knowledge and exposure to Unix (Solaris, AIX, Linux, HP UX) is advantageous.
• Advantageous to have knowledge of financial regulatory modules, ideally to include AML, KYC, FATCA, CRS, and related topics.

Qualifications:

• Education: Bachelor’s degree in a quantitative field (Computer Science, Statistics, Mathematics, Engineering) required; Master’s or PhD preferred.
• Experience: 5–10 years in data science/ML with at least 3 years in financial services domains (banking, payments, insurance, capital markets) and 2+ years in client-facing or professional services roles.

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 1600+ Enterprise customers globally and has grown to 2,300 talented leaders, data scientists, and other professionals across over 30 countries.

Key Responsibilities:

• Client Engagement and Solution Design

  Lead discovery workshops to elicit requirements, define success metrics, and translate business problems into AI solutions and delivery plans.Provide innovation, leadership, and influence in the design of client-centric solutions 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 the client review and sign-off process for the suite of functional documents and artefacts.Take overall responsibility for the documentation of functional artefacts.

• Model Development and 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, and ensemble methods.Implement explainability (e.g., SHAP, LIME), bias/fairness testing, performance monitoring, and model risk controls to meet regulatory and enterprise standards.Deliver high-quality PoCs and pilots; productionise with engineering using robust MLOps practices (CI/CD, model registry, experiment tracking, feature management).

• Data Engineering and Integration

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

• Change Management and Enablement

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

Required Skills & Qualifications:

• Expertise in industry-standard modelling tools and methods.
• Client-facing experience is essential, including delivering presentations and product demonstrations, running workshops, and managing client's expectations.
• Experience in delivering complex business or technology solutions, from gathering requirements to designing solutions.
• Excellent communication skills, both written and verbal; able to communicate confidently and effectively at any level of the organisation.
• Ability to grasp technical concepts and translate them into business solutions.
• Good working knowledge of SQL and experience with databases such as Oracle, DB2, SQL Server, and Postgres.
• Good working knowledge of Python (Pandas, NumPy, and scikit-learn) or similar.
• An understanding of compliance processes and workflows within the financial services industry is advantageous.
• Experience with software development lifecycle practices (preferably Agile).
• Good knowledge of IT systems, architectures, and terminology.
• Strong interpersonal/leadership skills.
• Knowledge and exposure to Unix (Solaris, AIX, Linux, HP UX) is advantageous.
• Advantageous to have knowledge of financial regulatory modules, ideally to include AML, KYC, FATCA, CRS, and related topics.

Qualifications:

• Education: Bachelor’s degree in a quantitative field (Computer Science, Statistics, Mathematics, Engineering) required; Master’s or PhD preferred.
• Experience: 5–10 years in data science/ML with at least 3 years in financial services domains (banking, payments, insurance, capital markets) and 2+ years in client-facing or professional services roles.

Diversity & Inclusion Statement: We are committed to building a diverse and inclusive team and encourage candidates from all backgrounds to apply.

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 1600+ Enterprise customers globally and has grown to 2,300 talented leaders, data scientists, and other professionals across over 30 countries.