# Senior Associate - Emerging Tech Standard Delivery Team **Company**: London Stock Exchange Group (LSEG) **Location**: Bangalore, RMZ Infin **Experience**: senior **Job type**: full-time **Category**: Data Science **Industry**: Finance **Apply**: https://lseg.wd3.myworkdayjobs.com/en-US/Careers/job/IND-Bangalore-TowerERMZ-Infin/Senior-Data-Scientist_R0124598?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_a214e41d-1c7 ## 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, covering data acquisition, cleaning, transformation, and related workflows. - Support Lead Data Scientist on end-to-end AI/ML lifecycle: problem definition, design, experimentation, deployment, and continuous improvement. - Define an optimized user experience for financial analytics data pipelines, unifying multiple tools and services into an integrated workflow. - Partner with analytics domain experts to understand business data needs and translate them into a practical platform and framework strategy. - Lead the execution of this strategy in close collaboration with engineering and project delivery teams. - Communicate product goals, progress, and achievements to product, engineering, business leaders, sales, proposition, support, and other internal stakeholders. - Stay informed on financial analytics market trends to maintain a forward-looking, future-ready strategy. - Continuously learn and adapt to emerging technologies and techniques in financial analytics. - Develop and deploy production-grade AI models and data-driven solutions aligned with strategic objectives. - Tune and optimize AI models to improve accuracy, performance, and scalability. - Evaluate third-party AI capabilities using both functional and non-functional criteria. - Establish and enforce coding standards to ensure a maintainable, robust codebase. - Collaborate with Software Engineers and cross-functional teams to define requirements, set direction, and shape development roadmaps. - Hands-on experience in data science, including Natural Language Processing, Large Language Models, prompt engineering, and Retrieval-Augmented Generation (RAG). - Skilled in training, testing, and validating deep learning models as well as classical machine learning models. - Ability to design and implement evaluation frameworks for automation solutions based on business requirements. - Experience building solutions and onboarding workloads on AWS or other cloud platforms. - Expertise in web crawling and scraping techniques, entity identification and extraction, and advanced pre- and post-processing methods using emerging technologies such as prompt engineering. - Proficient in processing structured, semi-structured, and unstructured data from PDFs and scanned documents. **Requirements:** - 6-8 years of experience in data science, analytics, or statistical modeling roles. - Strong foundation in data analytics, feature engineering, NLP, predictive modeling, LLMs, and RAG workflows. - Expertise in Python and core ML/DL libraries (TensorFlow, PyTorch, Scikit-learn), with demonstrated experience in developing and productionizing AI models. - Proven ability to apply strong statistical analysis skills, including probability and applied statistics, to model development and evaluation. - Experience with Git-based version control and CI/CD pipelines (GitLab/GitHub runners). - Strong understanding of relational databases, large-scale data processing, and statistical programming. - Familiarity with MLOps principles and experience deploying solutions on cloud platforms (AWS and/or Azure). - Hands-on experience with commercial or open-source data management tools. - Excellent communication and presentation skills, capable of simplifying complex technical concepts for both technical and business audiences. - Strong influencing and collaboration skills, supporting cross-team execution and alignment. - Ability to diagnose and resolve complex technical and business problems using deep analytical and industry knowledge. - Ability to set and uphold coding standards. - Hands-on experience with leading commercial or open-source data management tools. - Excellent written, verbal, and presentation skills, with the ability to present to peers, senior management, and cross-functional partners. - Broad business awareness and understanding of relevant internal business relationships. **Benefits:** - Healthcare - Retirement planning - Paid volunteering days - Wellbeing initiatives ## Skills ### Required - Python - TensorFlow - PyTorch - Scikit-learn - Natural Language Processing - Large Language Models - Retrieval-Augmented Generation (RAG) - data analytics - feature engineering - predictive modeling - statistical analysis - MLOps - cloud platforms - data management tools - Git-based version control - CI/CD pipelines ### Nice to have - Experience in large financial services or investment banking environments - Familiarity with Refinitiv or LSEG products and financial data workflows - Experience working with global or distributed teams - Comfort interacting with senior stakeholders, including executives and C-suite partners --- Source: [Apply at lseg.wd3.myworkdayjobs.com](https://lseg.wd3.myworkdayjobs.com/en-US/Careers/job/IND-Bangalore-TowerERMZ-Infin/Senior-Data-Scientist_R0124598?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)