Data Scientist – Generative AI, Agentic AI, NLP, Deep Learning & AWS Expert
Job Summary
Job Summary
Synechron is seeking a Data Scientist specialized in Generative AI and Agentic AI to lead and independently manage end-to-end AI and data science projects. This role will focus on applying advanced AI techniques including NLP computer vision deep learning and predictive modeling to develop scalable reliable AI solutions that deliver measurable business value. The Data Scientist will collaborate with cross-functional teams to translate complex data insights into actionable strategies driving innovation and supporting organization-wide AI adoption aligned with business objectives.
Software Requirements
Required:
Programming languages: Python R Spark Teradata SQL SAS (proficient level)
Big Data Platforms: Hadoop/HDFS Omnia Hive Spark (hands-on experience)
Cloud Platforms: AWS (experience deploying AI/ML models)
Agentic frameworks: LangGraph Pydantic AI Google ADK (practical experience)
Version control and collaboration: GitHub
AI/ML tools:
Preferred:
Experience with open-source Generative AI models GPT frameworks and technologies related to retrieval-augmented generation (RAG)
Familiarity with guardrails for AI fairness and privacy
Additional ML engineering tools and methodologies
Overall Responsibilities
Lead AI and data science projects from data collection to model deployment ensuring alignment with strategic goals
Utilize Generative AI NLP Deep Learning and advanced statistical models to build accurate and scalable solutions
Engage business and technical stakeholders to identify problems formulate AI solutions and deliver value-driven outcomes
Communicate complex data findings to non-technical audiences translating insights into actionable business initiatives
Develop and deploy production-grade AI and machine learning models across cloud and on-premise environments
Foster AI adoption across the organization through collaboration mentoring and evangelism
Stay current with emerging AI technologies and industry trends to continuously improve methodologies
Drive innovation by experimenting with new approaches to data analysis and AI/ML modeling
Collaborate with architects data engineers and cross-disciplinary teams in an Agile environment
Contribute to strategic planning of AI and data science initiatives within Synechron
Technical Skills (By Category)
Programming Languages:
Essential: Python R Spark Teradata SQL SAS
Databases/Data Management:
Essential: Big Data platforms (Hadoop HDFS Omnia) Hive Spark
Cloud Technologies:
Essential: AWS (cloud deployment of AI/ML models)
Frameworks and Libraries:
Essential: LangGraph Pydantic AI Google ADK; Deep Learning and NLP frameworks
Preferred: Open-source Generative AI models GPT and related architectures
Development Tools and Methodologies:
Essential: GitHub Agile methodologies
Preferred: ML engineering best practices and tools
Security Protocols:
Preferred: Knowledge of AI fairness privacy and guardrails
Experience Requirements
4 to 7 years of professional experience in data science or AI focused on end-to-end project delivery
Demonstrated expertise in agentic AI frameworks and Generative AI applications
Experience deploying AI/ML models on cloud platforms particularly AWS
Preferably worked in retail banking financial services or related industries
Experience in risk or audit domains beneficial but not required
Alternative pathways include strong AI project leadership and hands-on AI engineering in related fields
Day-to-Day Activities
Independently leading and managing AI/data science projects
Designing developing and deploying AI models and solutions
Collaborating with business units and technical teams on problem-solving and solution implementation
Presenting findings and AI-driven recommendations to stakeholders with clarity and impact
Participating in regular Agile ceremonies and sprint planning
Continuously researching and integrating emerging AI technologies into solutions
Driving organizational adoption of AI through training collaboration and mentorship
Qualifications
Bachelors degree or higher in Mathematics Statistics Economics Econometrics Computer Science Engineering or equivalent
Relevant certifications in AI data science or cloud computing are advantageous
Commitment to continuous professional learning and staying current with AI advances
Professional Competencies
Strong analytical and critical thinking skills with a problem-solving focus
Leadership capabilities including project ownership and team collaboration
Effective written and verbal communication to liaise with diverse stakeholders
Adaptability in fast-evolving technology environments and business priorities
Innovative mindset with a demonstrated ability to apply cutting-edge AI methods
Excellent time management organizational skills and the capacity to manage multiple priorities
SYNECHRONS DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity Equity and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger successful businesses as a global company. We encourage applicants from across diverse backgrounds race ethnicities religion age marital status gender sexual orientations or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements mentoring internal mobility learning and development programs and more.
All employment decisions at Synechron are based on business needs job requirements and individual qualifications without regard to the applicants gender gender identity sexual orientation race ethnicity disabled or veteran status or any other characteristic protected by law.
Required Experience:
Unclear Seniority
Key Skills
About Company
Chez Synechron, nous croyons en la puissance du numérique pour transformer les entreprises en mieux. Notre cabinet de conseil mondial combine la créativité et la technologie innovante pour offrir des solutions numériques de premier plan. Les technologies progressistes et les stratégie ... View more