Research Lead, NLP & Data Science

SGP-Singapore-1 Raffles Quay

LSEG

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Who we are:   

The mission of the Data Science & Natural Language Processing team within Sustainable Finance and Investment Research is to research and develop innovative models the field of Sustainable Finance. By bringing together expertise in data science, machine learning and natural language processing with the subject matter expertise in the wider research team, we are developing innovative, data-driven solutions that address complex challenges in sustainable finance and enable more informed decision making for our customers. The team works on a broad range of solutions, both in the company and sovereign sphere.

About the job 

We are seeking a highly skilled Senior Data Scientist to spearhead the development of sophisticated data-driven solutions and intellectual property (IP) focused on SFI problems. This role will require a blend of advanced data science expertise, understanding of ESG frameworks, a creative approach to generate novel insights and models, and good coding skills to deliver high quality prototypes.

Responsibilities

IP & Methodology Research and Development

  • Research, design and development of data models to address complex ESG challenges such as company carbon emissions estimations, asset extraction for physical risk, etc.
  • Stay up-to-date with the latest technical advancements in NLP, competitor product offerings, and emerging academic research on SFI.
  • Maintain and improve existing code to make current models more robust or add new functionalities.

People leader

  • Provide day-to-day oversight and guidance for on-going data science projects in the team.
  • Provide mentorship and guidance to other data scientists, fostering a culture of continuous learning and technical excellence.
  • Build and maintain relationships with internal partners to find opportunities for new product development and drive existing projects into production.

Data analysis

  • Locate, clean, examine and wrangle data. Integrate internal and external data sources and make conscious decisions on production constraints when designing new IP.
  • Acting as an SME (Subject Matter Expert) with internal and external partners to inform the development and refinement of SFI models.

Market & stakeholder engagement

  • Collaborating in multi-stakeholder research and product development projects and providing analytical support for clients and internal partners.
  • Proactively identify potential risks and issues and actively engage all the collaborators in their mitigation and management
  • Bring technical knowledge to engage in planning and agreeing sprint goals with other team members in data science, research and production functions.
  • Effictively communicate complex impact analyses to partners through reports, visualizations and presentations.

Requirements 

  • 5+ years of experience as a Data Sciencist, with a focus on machine learning, NLP or advanced analytics.
  • Experience of working on ESG-related projects
  • High-quality coding skills and track record of delivering production-ready prototypes
  • Research mentality with high attention to detail

Technical skills

  • Expertise in Python, SQL and cloud-based platforms (AWS, Azure, GCP)

  • Proficient in machine learning libraires (PyTorch, Scikit-learn)

  • Experience in data visualization tools (Streamlit package, Power BI)

Soft skills

  • Strong problem solving and analytical thinking capabilities

  • Excellent writing and verbal communication skills, particularly for non-technical stakeholders
  • Ability to manage multiple projects in a fast-paced environment

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.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.

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.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Azure Data analysis Data visualization Finance GCP Machine Learning NLP Power BI Privacy Python PyTorch Research Scikit-learn SQL Streamlit

Perks/benefits: Career development Health care Startup environment

Region: Asia/Pacific
Country: Singapore

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