Senior Data Scientist

London Stock Exchange Group; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Healthcare

Retirement planning

Paid volunteering days

Wellbeing initiatives

Job summary

London Stock Exchange Group seeks a data analytics leader to own the product vision for industry-leading data management frameworks, including data acquisition, cleaning, and transformations. You will define user experiences for optimized financial analytics workflows and collaborate with domain experts to translate needs into a robust platform strategy.

You will drive implementation with engineering teams, communicate goals to executives, and stay ahead of market trends in financial analytics.

Qualifications

• Background in data science, NLP, predictive models or LLMs.
• Experience with agile product teams and ownership perspective.
• Strong ability to convey technical ideas to non-technical stakeholders.

Responsibilities

• Own the product vision for data management and analytics platforms.
• Define UX for analytics data pipelines and unify tools/services.
• Collaborate with analytics experts to translate needs into platform strategy.
• Lead implementation with engineering and project teams.
• Explain goals and achievements to senior leadership and partners.
• Develop, validate, and run quantitative models and ML solutions.

Skills

Data science

Python

SQL

Machine Learning

NLP

Communication

Education

Statistics/Mathematics/Engineering with Data science cert

Tools

Python libraries

VBA

R

Job description

The Emerging Tech Standard Delivery Team will orchestrate adoption of emerging technologies and build Enterprise Solutions for D&A Operations. The individual will work closely with Specialists, Operations & Technology delivery teams to devise Enterprise solutions that deliver business and customer value. The individual in the role will handle partners and co-ordinate with teams highly proficient in machine learning, database development and front-end application engineering. The individual needs to self-learn in areas including emerging technology, industry methods of working, financial content, and business processes used across D&A teams. Beyond this, they should have a good sense of numbers, data analysis, be articulate and able to connect to the technical and non-technical people.

Role, Responsibilities & Key Accountabilities

• Be responsible for the product vision for industry leading data management framework (data acquisition, cleaning, transformations, etc).
• Define the user experience for optimized financial analytics data pipeline workflows, potentially bringing together different tools and services into a unified experience.
• Collaborate with analytics domain experts to interpret their data needs and translate into a viable platform/framework strategy.
• Own the implementation of that strategy by engaging with engineering and project teams.
• Define and communicate the product goals and achievements to other product & engineering teams, business leaders including sales, proposition, support, and other internal partners.
• Be on top of financial analytics market trends and priorities to ensure a forward-looking view is baked into our strategy.
• Understand and be eager to learn new and evolving technologies & techniques around financial analytics.
• Hands on experience in data science including: Data handling, data processing and programming.
• Develop automated solutions for sourcing.
• Analyze content to establish patterns/trends.
• Develop, enhance, and run quantitative models.
• Generate solutions through machine learning for core processes.
• Work with business, content, and product groups for large-scale analytics problems.
• Build POCs, visualizations and pipeline tools for product design and development.
• Work with development groups for deployment of analytics solutions.
• Interact with other internal teams as needed, with supervision.
• Build and on-board on AWS/Cloud platform.
• Expertise in various sourcing, extraction, pre-processing & post processing using emerging technologies including prompt engineering.
• Processing structured, semi-structured & unstructured data from pdf & scanned documents.

Required Skills

• A background in data / feature engineering / data science / NLP / Predictive Model / LLMs / RAG Workflow / Hands on experience with market leading commercial or open-source data management products.
• An agile practitioner, having led agile teams from a product manager/owner perspective.
• Good interpersonal and communication to grasp and articulate technical, financial, and conceptual ideas.
• Good project management understanding, analytical, and prioritization skills.
• Strong influencing skills to drive a direct and indirect team to implement product strategy.
• Extensive experience using Python tools, packages, libraries, model building.
• Solid relational database skills, statistics, and statistical language.
• Ability to handle large quantities of data.
• Strong written, communication and presentation skills.
• Able to respond and present work to peers, senior management, and other partners.
• Broad business knowledge and knowledge of all relevant business relationships within the Company.
• Resolves sophisticated business issues through application of in-depth skills, knowledge and understanding of industry issues.
• Good understanding of Python programming concepts and leading practices and Solid SQL skills.
• Knowledge of MLOps approaches.
• Experience in Cloud computing.
• Experience managing full stack data scientists for 3-5 years.

Preferred Experience

• Experience in large investment banking or financial services organisations.
• Familiar with Refinitiv or LSEG processes and products.
• Experience working with executives and / or C-Suite individuals.
• Experience working with a distributed team.

Education

Higher education in Statistics, Mathematics or Engineering in Computer Science with Data science certification Any Degree or equivalent experience along with expertise in programming languages like Python, R, VBA , SQL etc.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries.

However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business.

You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth.

Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.

Benefits

• Healthcare
• Retirement planning
• Paid volunteering days
• Wellbeing initiatives

We are proud to be an equal opportunities employer.

This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law.

Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Our Data & Analytics, Capital Markets and Post Trade divisions have a combined power that provides a comprehensive, integrated suite of trusted financial market infrastructure services to help our customers pursue their ambitions.

Explore our divisions LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across Europe, the Middle East, Africa, North America, Latin America and Asia Pacific.

Find out more Get to know some of our people who are pushing the boundaries of technology, finance and more around the world.