# Senior Associate - Emerging Tech Standard Delivery Team

**Company**: London Stock Exchange Group (LSEG)
**Location**: London
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Finance

**Apply**: https://lseg.wd3.myworkdayjobs.com/en-US/Careers/job/PHL-Taguig-City-CitiPlaza/Data-Scientist_R0121819-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_119a3ef3-504

## Description

The Emerging Tech Standard Delivery Team drives the adoption of advanced technologies and develops enterprise‑ready solutions for D&A Operations. In this role, you will partner with Operations and Technology teams to design data‑driven solutions that deliver clear business and customer value.

Responsibilities:

- Contribute to the development of an enterprise‑grade data management framework, including data acquisition, cleaning, transformation, and workflow optimization.

- Help design and refine user experiences for financial analytics data pipelines, integrating multiple tools and services into coherent, efficient workflows.

- Work closely with analytics domain experts to understand business data requirements and translate them into platform components, models, or analytical workflows.

- Collaborate with engineering and project delivery teams to implement data solutions that align with product and organizational goals.

- Support communication of project progress, insights, and outcomes to product, engineering, and business stakeholders.

- Stay current with emerging technologies, modelling techniques, and market trends in financial analytics to inform continual improvement.

- Build, train, test, and validate machine learning and deep learning models, including NLP, LLMs, and Retrieval‑Augmented Generation (RAG).

- Develop evaluation frameworks and metrics to assess automation and AI solutions against business requirements.

- Apply web scraping, crawling, entity extraction, and advanced pre‑/post‑processing techniques to prepare structured, semi‑structured, and unstructured data.

- Build and deploy data and ML solutions on cloud platforms (AWS or similar), following MLOps and CI/CD best practices.

Required Skills:

- 3–5 years of experience in data science, analytics, or statistical modelling roles.

- Solid grounding in data analytics, feature engineering, predictive modelling, NLP, LLMs, and RAG workflows.

- Strong proficiency in Python and commonly used data science libraries.

- Familiarity with deep learning frameworks such as TensorFlow or PyTorch.

- Experience with Git and CI/CD pipelines.

- Strong understanding of statistics, relational databases, and statistical programming concepts.

- Ability to work effectively with large and complex datasets.

- Understanding of MLOps practices and experience with cloud environments.

- Experience with commercial or open‑source data management tools.

- Strong analytical, problem‑solving, and prioritization skills.

- Effective communication skills with the ability to clearly articulate technical and conceptual ideas.

- Ability to set and uphold coding standards.

- Ability to collaborate across teams and contribute to strategy execution through strong technical insight.

Preferred Skills:

- Experience working in financial services or investment banking.

- Familiarity with Refinitiv or LSEG datasets, tools, or workflows.

- Experience working with distributed or cross‑location teams.

Education:

- Master’s degree in Statistics, Mathematics, or Computer Science with a Data Science certification, or an Engineering degree specializing in Data Science and Artificial Intelligence.

- Proficiency in Python, R, and SQL

## Skills

### Required
- Python
- data analytics
- NLP
- deep learning
- machine learning
- MLOps
- CI/CD
- cloud computing
- data management
- statistical modelling
- data science

### Nice to have
- financial services
- investment banking
- Refinitiv
- LSEG
- distributed teams

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Source: [Apply at lseg.wd3.myworkdayjobs.com](https://lseg.wd3.myworkdayjobs.com/en-US/Careers/job/PHL-Taguig-City-CitiPlaza/Data-Scientist_R0121819-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)