LSEG · 8 hours ago
Senior Data Scientist
Mountain Home, TX
Full-time
Onsite
Senior Level, Lead/Staff
10+ years expLSEG is a leading global financial markets infrastructure and data provider. As a Senior Data Scientist, you will leverage cutting-edge technologies to deliver data-driven insights and solutions, focusing on AI, machine learning, and NLP while collaborating with cross-functional teams.
ConsultingData ManagementDatabaseFinanceFinancial ServicesInfrastructureStock Exchanges
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
Qualification
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
Benefits
Healthcare
Retirement planning
Paid volunteering days
Wellbeing initiatives
Company
LSEG
LSEG (London Stock Exchange Group) is a diversified international markets infrastructure business —earning our clients’ trust for over 300 years.
10001+ employees
H1B Sponsorship
LSEG has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2022 (3)
2021 (12)
Funding
Current Stage
Public CompanyTotal Funding
$8.19BKey Investors
Microsoft
2023-09-07Post Ipo Secondary· $2.87B
2023-05-16Post Ipo Secondary· $3.32B
2022-12-11Post Ipo Secondary· $2B
Leadership Team
David Schwimmer
Chief Executive Officer
Pascal Boillat
Chief Operating Officer
Recent News
2025-12-17
FX News Group
2025-12-17
MarketScreener
2025-12-16
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