SymphonyAI is hiring for an FRESHER entry level Data Scientist role in India

Position: Data Scientist - Financial Services

Company: SymphonyAI

Location: Bengaluru, India

Job Type: Full-time

Job Mode: Onsite/Hybrid

Job Requisition ID: 3024

Years of Experience: Entry Level / Freshers (0-3 Years)

Company Description

• SymphonyAI operates as a premier enterprise artificial intelligence software-as-a-service company delivering transformative solutions across critical global sectors.

• The organization focuses on high-growth and resilient industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management.

• Founded in 2017, the company has scaled rapidly to serve over 1,500 enterprise customers worldwide through advanced digital transformation initiatives.

• The global workforce comprises more than 3,000 talented leaders, data scientists, engineers, and domain professionals distributed across over 30 countries.

• The firm champions a culture of continuous innovation, leveraging cutting-edge predictive and generative AI to solve complex enterprise challenges.

• Collaborative workspace environments empower technical teams to build scalable, high-impact products that redefine industry standards.

• The organization maintains strategic partnerships and sister companies, such as ConcertAI, expanding its footprint in specialized vertical domains.

• Diversity, equity, and inclusion remain core operational pillars, fostering an environment where multi-disciplinary perspectives drive technological excellence.

Profile Overview

• Seeking a dynamic, client-facing professional with foundational expertise in artificial intelligence and machine learning to design and deploy data science solutions.

• Primary responsibilities involve bridging complex business challenges in the financial services sector with advanced AI use cases.

• Candidates will lead discovery workshops, elicit technical requirements, define success metrics, and translate client problems into robust delivery plans.

• The role requires active participation in pre-sales activities, including product demonstrations, proofs of concept (PoCs), proofs of value (POVs), and technical narrative creation.

• Responsibilities extend to managing client reviews, documentation, and formal sign-off procedures for functional documents and deliverables.

• Collaboration with internal engineering teams is vital to productionize models using established MLOps practices and enterprise standards.

• The position involves building predictive and generative models specifically tailored for financial services compliance, risk management, and operational efficiency.

• Continuous engagement with product and R&D teams is expected to share best practices, client feedback, and roadmap influences.

Qualifications

• Strong foundational understanding of data science principles, machine learning algorithms, and statistical methodologies applied in enterprise settings.

• Client-facing capabilities including delivering structured presentations, facilitating interactive workshops, and managing client expectations effectively.

• Excellent verbal and written communication skills with the ability to convey technical concepts clearly to diverse stakeholder audiences.

• Proficiency in core programming languages, specifically Python using libraries such as Pandas, NumPy, and scikit-learn.

• Solid working knowledge of SQL and relational database management systems including Oracle, DB2, SQL Server, and PostgreSQL.

• Exposure to advanced analytical techniques such as Natural Language Processing, Large Language Models, graph analytics, time-series forecasting, and anomaly detection.

• Familiarity with software development lifecycle practices, version control systems, and Agile methodologies.

• Strong interpersonal skills combined with a structured, problem-solving mindset and adaptability to fast-paced project lifecycles.

• Preferred familiarity with financial regulatory frameworks, compliance processes, anti-money laundering (AML), and know-your-customer (KYC) protocols.

Additional Info

• Commitment to maintaining an inclusive, diverse workplace that encourages applications from candidates of all backgrounds and professional experiences.

• Opportunities for rapid professional growth through mentorship, complex problem-solving, and direct engagement with global financial institutions.

• Exposure to enterprise-grade infrastructure, distributed computing environments, and modern cloud-native architectures.

• Collaborative culture that values continuous learning, knowledge sharing, and reusable asset creation such as templates, pipelines, and notebooks.

• Support for continuous skill enhancement through internal technical workshops, cross-functional projects, and exposure to cutting-edge AI research.

• Flexible working models designed to balance team collaboration and individual focus time for optimal productivity.

• Direct contribution to enterprise digital transformations that impact financial security and regulatory compliance on a global scale.

• Competitive compensation structures aligned with industry benchmarks and rewarding high-impact technical delivery.

Please click here to apply.