Description
The Emerging Tech Standard Delivery Team drives the adoption of advanced technologies and develops enterprise-ready solutions for D&A Operations. You will partner with Operations and Technology teams to design data-driven solutions that deliver clear business and customer value.
Responsibilities & Key Accountabilities:
- Own the product vision for an industry-leading data management framework
- Support Lead Data Scientist on end-to-end AI/ML lifecycle
- Define an optimized user experience for financial analytics data pipelines
- Partner with analytics domain experts to understand business data needs
- Lead the execution of this strategy in close collaboration with engineering and project delivery teams
- Communicate product goals, progress, and achievements to stakeholders
- Stay informed on financial analytics market trends
- Continuously learn and adapt to emerging technologies and techniques
- Develop and deploy production-grade AI models and data-driven solutions
- Tune and optimize AI models to improve accuracy, performance, and scalability
- Evaluate third-party AI capabilities
- Establish and enforce coding standards
- Collaborate with Software Engineers and cross-functional teams
- Hands-on experience in data science, including Natural Language Processing and Large Language Models
- Skilled in training, testing, and validating deep learning models
- Ability to design and implement evaluation frameworks for automation solutions
- Experience building solutions and onboarding workloads on AWS or other cloud platforms
Requirements:
- 6-8 years of experience in data science, analytics, or statistical modelling roles
- Strong foundation in data analytics, feature engineering, NLP, predictive modelling, LLMs, and RAG workflows
- Expertise in Python and core ML/DL libraries
- Proven ability to apply strong statistical analysis skills
- Experience with Git-based version control and CI/CD pipelines
- Strong understanding of relational databases, large-scale data processing, and statistical programming
- Familiarity with MLOps principles and experience deploying solutions on cloud platforms
- Excellent communication and presentation skills
- Strong influencing and collaboration skills
Benefits:
- Healthcare
- Retirement planning
- Paid volunteering days
- Wellbeing initiatives