We are looking for a passionate and driven Associate Data Scientist to join our Emerging Tech Standard Delivery Team. This role is ideal for someone who thrives in a multifaceted environment, is eager to learn new technologies, and enjoys working across multi-functional teams to deliver enterprise-grade data solutions. You will collaborate with specialists in machine learning, database development, and front-end engineering to build scalable, intelligent systems that drive business and customer value.

Key Responsibilities:

Handle and process structured, semi-structured, and unstructured data using Python and other tools.
Develop and deploy machine learning models and statistical algorithms to solve real-world business problems.
Build automated data sourcing and extraction solutions from diverse formats (PDFs, HTML, XML, scanned documents).
Perform exploratory data analysis (EDA) to uncover insights and support decision-making.
Translate business needs into technical requirements and implement scalable solutions.
Collaborate with data engineers, analysts, and business collaborators to deliver impactful data products.
Create visualizations, dashboards, and reports to communicate findings to technical and non-technical audiences.
Develop proof-of-concepts (POCs), pipeline tools, and visualizations for product design and development.
Guide peers and business users on analytical tools, techniques, and standard methodologies.
Maintain process documentation and support deployment of analytics solutions.

Required Qualifications:

Bachelor’s or master’s degree or equivalent experience in computer science, Statistics, Mathematics, or related field.
Certification in Data Science or equivalent practical experience.
Proficiency in Python and experience with libraries such as Pandas, NumPy, Scikit-learn.
Strong SQL skills and understanding of relational databases.
Experience with version control systems like Git.
Solid grasp of statistics, probability, and machine learning algorithms (e.g., decision trees, random forests).
Familiarity with NLP techniques (e.g., word2vec, embeddings, bag-of-words).
Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
Exposure to REST APIs, containerization (Docker/Kubernetes), and web scraping (HTML/CSS).

Preferred Skills:

Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib).
Understanding of prompt engineering and emerging AI technologies.
Ability to work with large datasets and build scalable data pipelines.
Experience in building and deploying end-to-end data science solutions in a production environment.
Strong analytical thinking and problem-solving skills.
Superb communication and presentation skills.

Why Join Us:

Work on innovative technologies and enterprise-scale solutions.
Collaborate with a diverse and dedicated team of authorities.
Opportunity to grow in a fast-paced, innovation-driven environment.
Access to continuous learning and development resources.

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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Associate Data Scientist