Data Scientist

The Emerging Tech Standard Delivery Team will orchestrate adoption of new technologies and building 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 role will manage stakeholders and co-ordinate with teams highly proficient in data science, 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 and data analysis and be articulate and able to connect with technical and non-technical people.

Role, Responsibilities & Key Accountabilities:

• Own the product vision for industry leading financial analytics 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 closely analytics domain experts to interpret their data needs and translate into a viable platform/framework strategy.
• Lead the implementation of that strategy by partnering 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 stakeholders.
• 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 within financial services / NLP / Predictive Model / LLMs / RAG Workflow /
• Hands on experience with market leading commercial or open-source data management products.
• A seasoned product manager with demonstrable experience delivering large scale, complex projects within financial services.
• An agile practitioner, having led agile teams from a product manager/owner perspective.
• Excellent interpersonal and communication skills to grasp and articulate technical, financial, and conceptual ideas.
• Strong project management understanding, analytical, and prioritization skills.
• Strong influencing skills to drive a direct and indirect team to execute 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.
• Narrate stories (to technical and mostly non-technical audience) about our content and processes by data analysis and visualization.
• Strong written, communication and presentation skills.  Able to respond and present work to peers, senior management, and other stakeholders.
• Broad business knowledge and knowledge of all relevant business relationships within the Company.
• Resolves complex 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.
• Extensive knowledge of MLOps approaches.
• Extensive experience in Cloud computing.
• Experience managing full stack data scientists for 3-5 years.

Preferred

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

Education:

• Higher education in Statistics, Mathematics or Engineering in Computer Science with Data science certification
• Any Degree 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 purpose is the foundation on which our culture is built. 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.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and 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.

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