Data Scientist - Job Description Summary
Craft and develop new methodologies, quantitative models, analysis, and commentary (as relevant) that improve existing or new processes. Maintain existing product performance and independent analysis standards. Internally, work with various groups to grow new insights and expand the scope of existing products.
Job Description
Data handling, data processing and programming
Support delivery of new or enhanced capabilities by defining requirements and/or leading projects
Translate business needs into solution requirements. Write functional and non-functional specifications
Propose and implement improvements to products and processes
Develop automated solutions for sourcing/loading Ownership data into database
Analyze Legal entity content to establish patterns/trends
Build extraction solutions based on different document formats
Develop, improve, and run quantitative models
Generate solutions through machine learning for core processes
Work with business, content, and product groups for large-scale analytics problems
Build POCs, visualizations and pipeline tools for product design and development
Work with development groups for deployment of analytics solutions
Engage with other internal teams as needed, with supervision.
Maintain process documentation
Testing and validation of tools and processes
Knowledge & Skill:
Extensive experience in using Python or equivalent
Experience in AI / ML Technology implementation
Experience in crafting, developing, and deploying sophisticated statistical models based on machine learning and deep learning algorithms.
Proven understanding of statistical concepts
Proficient in using tools and libraries such as Scikit-learn, NumPy, Pandas
Proficient with anyone of the deep learning frameworks like PyTorch, TensorFlow, etc.
Solid understanding of HTML, CSS and Web scraping
Strong Problem-solving competence
Solid grasp of relational database and SQL skills.
Good understanding of REST API architecture and containers (Kubernetes or Docker).
Ability to handle large quantities of data
Narrate stories (to technical and mostly non-technical audience) about our content and processes by data analysis and visualization
Strong written, communication and presentation skills. Able to respond and present work to peers, senior management, and other partners
Qualification:
Bachelors/Masters in Engineering or Higher education in Statistics, Mathematics or related quantitative subject area with Data science certification
Desired Skills:
2+ years of Data Science project experience in Finance domain is helpful
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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