Senior Data Scientist job opportunity at London Stock Exchange Group (LSEG).

Home Jobs In United States Of America Tag: Job Senior Data Scientist position at London Stock Exchange Group (LSEG)


DateMore Than 30 Days Ago bot
London Stock Exchange Group (LSEG) Senior Data Scientist
Experience: 10-years
Pattern: full-time
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loacation United States, United States Of America
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Job Summary As a Senior Data Scientist, you will leverage cutting-edge technologies and methodologies to deliver data-driven insights and solutions for complex customer needs. You will work on end-to-end solutions, including building Proof of Concepts (POCs), professional services, and integrating third-party technologies with client systems. This role is pivotal to ensuring the successful implementation of data science-driven products and capabilities, with a key focus on AI, machine learning, and Natural Language Processing (NLP). You will collaborate closely with cross-functional teams, delivering innovative solutions to customers in highly dynamic, data-intensive environments. Role & Responsibilities Lead and execute complex customer engagements, utilizing specialized expertise in AI, Machine Learning, and NLP, including building POCs, integrations, and deployments with customer workflows. Apply a combination of technical, product, and data science expertise to co-create solutions that address specific customer needs, including ideation, clarification, technical design, and documentation. Lead detailed customer presentations for complex technical propositions, focusing on explaining advanced data science concepts and AI/ML solutions in an accessible way. Manage relationships with internal and external stakeholders, ensuring that project and customer-specific technical requirements are captured, refined, and translated into actionable solutions. Oversee and contribute to the development of Proof of Concepts, ensuring integration with customer workflows and systems. Lead the technical design and implementation of AI and machine learning solutions that integrate with existing client infrastructure. Drive the adoption of advanced data science and AI technologies to deliver high-value solutions. Develop and present strategies for scaling AI solutions, utilizing cloud platforms (Azure, AWS, GCP) for production-ready deployments. Lead and mentor junior team members, fostering a collaborative environment for continuous learning and technical growth. Qualifications and Experience Required 10+ years of experience   in data science or a related field, with a focus on AI, machine learning, and NLP, preferably in a senior technical or leadership role. Bachelor’s or Master’s degree   in Computer Science, Engineering, Data Science, or related field. A Ph.D. in a relevant field is a plus. Expertise in Natural Language Processing (NLP)   with a deep understanding of the latest NLP stack, including transformer-based architectures such as BERT, GPT, T5, and newer models like GPT-4, PaLM, and other state-of-the-art large language models (LLMs) that are driving the evolution of NLP applications. Extensive experience   with advanced machine learning and deep learning frameworks such as TensorFlow 2.x, PyTorch, Hugging Face, and JAX for NLP and other advanced AI tasks. Deep knowledge of cloud services (AWS, GCP, Azure)   and their use in data science workflows, particularly for deploying machine learning models at scale. Expertise in Python , with advanced knowledge of modern data science and machine learning libraries such as   Pandas, NumPy, SciPy, scikit-learn, spaCy , as well as cutting-edge NLP frameworks like   Hugging Face Transformers, Datasets , and   NLTK   for efficient model training, fine-tuning, and data preprocessing. Strong programming skills in   Python, R, and SQL , with advanced proficiency in handling large-scale data using   distributed data systems   like   Apache Spark ,   cloud-native NoSQL databases   such as   MongoDB ,   Cassandra , and   DynamoDB , as well as search engines like   Elasticsearch   and   vector databases   for semantic search (e.g.,   Pinecone ,   Weaviate ). Hands-on experience   with data ingestion, data wrangling, and data pipeline orchestration using tools like   Apache Kafka ,   Apache Spark ,   Airflow , and distributed computing frameworks like   Dask   and   Ray . Experience with advanced data science methodologies , including   ensemble learning ,   deep reinforcement learning ,   transfer learning , and deploying   large pre-trained models   for real-time inference and production. Ability to design, prototype, and deploy   NLP models   for a range of applications, from information retrieval to sentiment analysis, chatbots, and question answering systems. Demonstrated success in delivering solutions in complex, fast-paced environments with a focus on customer satisfaction and technical excellence. Strong   communication skills , with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Proven experience in   customer-facing roles   is highly valued, particularly in the enterprise tech or financial sectors. Familiarity with   AI-powered product development   in industries such as finance, healthcare, or e-commerce. Experience with   data visualization tools   like   Tableau ,   Power BI , or   Plotly   to present data science findings effectively. Knowledge of   regulatory requirements in finance , including experience working with financial data feeds and APIs. 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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