Lead Data Scientist
3 weeks ago
We are searching for a candidate who is not only passionate about risk intelligence but also brings a wealth of experience in managing complex, large-scale projects You will be involved in collaboration with both internal and external stakeholders, demanding a high level of proficiency in communication and teamwork.
You will report directly to the Director of Data Science and play a key role in guiding the development of ML and AI technology within the organization.
You will analyze complex datasets, designing algorithms and models to detect and prevent financial crimes, and contributing to the design of ML, AI and Data infrastructure in line with LSEG Risk Intelligence' objectives.
Your expertise in Data Science and ML and AI related technologies will be pivotal in steering the direction of our development efforts.
This role is a journey into the future of risk intelligence, where your skills and insights will contribute significantly to our innovative endeavors.
About You - experience, education, skills, and accomplishments
- Advanced degree in Computer Science, Statistics, Technology, or Engineering, or equivalent work experience.
- Minimum 5 years of industry experience with 5 years of proven track record in the application of AI, ML, and NLP.
- Excellent programming skills (Python, Java, and R)
- Good communication & presentation skills: connecting people, gathering data & information across business unit boundaries, and telling & selling the story are no problem for you.
- Excellent understanding of Data Science Theory, LLMs, ML, NLP, and statistical methodologies in a data analytics environment.
- Have a relevant PhD
- Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation.
- Experience with search engines, web scraping, data classification algorithms, recommendation systems, and relevance evaluation methodologies
- Researches and identifies Artificial Intelligence (AI), Large Language Models (LLMs) and Machine Learning (ML) methods and algorithms to solve specific problems within Risk Intelligence
- Implements these methods and devises appropriate test plans to validate and compare the different approaches.
- Identifies new applications of AI, LLMs, and ML in the context of our extensive sets of content and data.
- Explores existing data for insights and recommends additional sources of data for improvements.
- This is a new Data Science innovation team within the Risk Intelligence Engineering function.
- Our engineers use Machine Learning to solve problems along the entire Lifecycle of Innovation, with a strong focus on new capabilities and approaches to existing problems.
- Algorithms to detect fraud, predicting risk and outcomes are just a few of the ways our team is fostering productivity of our customers who lead innovation in the world.
- We are a global team reporting into the Head of Risk Intelligence in the US. The team culture is all about openness & collaboration with a focus on excellence and value adding innovation. We have a tradition of also being a source of innovation ourselves, based on deep domain knowledge, so being creative and entrepreneurial is very much encouraged.
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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