Job Description Summary Compose and implement 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 departments to grow new ideas and expand the scope of existing products.   Job Description   • Data handling, data processing and programming • Develop and implement automated solutions for sourcing/loading Entity data into Database • Analyse Legal entity content to establish patterns/trends • 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 • Develop strong proof-of-concepts (POCs), visualizations and pipeline tools for product design and development • Work with development groups for deployment of analytics solutions • Collaborate with cross-functional teams as needed, with supervision.    Knowledge & Skill: • Extensive experience on using Python, Power Apps, SQL • Strong proficiency in using tools and libraries such as Scikit-learn, NumPy, pandas and Jupyter • Strong relational database skills • Strong understanding of statistics and statistical language such as R • Ability to handle large quantities of data • Compose dashboards, visualizations, POCs, and analytics pipelines • Communicate insights through data storytelling (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 • Certified (or attempting) as a Lean / Six Sigma green/black belt with practical experience in Lean Project Management along with practical experience in coaching, mentoring, facilitation, Lean deployments, and Lean projects • Project management or/and Process optimization experiences (can have been informal as part of wider roles and responsibilities, but must be proven if so) Qualification:   Higher education in Statistics, Mathematics or Engineering in Computer Science with Data science certification.   Desired Skills:   2+ years of Data Science project experience in Finance domain is helpful  Career Stage: Senior Associate London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you. 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. 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. You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. 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.