Data Scientist

Benefits

Additional Information

The Emerging Tech Standard Delivery Team will orchestrate adoption of new technologies and build Enterprise Solutions for D&A Operations. The individual will work closely with Specialists, Operations & Technology delivery teams to devise Enterprise solutions that deliver business and customer value. The individual in the role will handle partners and co-ordinate with teams highly proficient in machine learning, database development and front-end application engineering. The individual needs to self-learn in areas including emerging technology, industry methods of working, financial content, and business processes used across D&A teams. Beyond this, they should have a good sense of numbers, data analysis, be eloquent and able to connect to the technical and non-technical people. Role, Responsibilities & Key Accountabilities: Be responsible for product vision for industry leading data management framework (data acquisition, cleaning, transformations, etc). Define the user experience for optimized financial analytics data pipeline workflows. potentially bringing together different tools and services into a unified experience. Collaborate with analytics domain guides to interpret their data needs and translate into a viable platform/framework strategy. Be responsible for implementation of that strategy by engaging with engineering and project teams. Define and communicate the product goals and achievements to other product & engineering teams, business leaders including sales, proposition, support, and other internal partners. Be on top of financial analytics market trends and priorities to ensure a forward-looking view is baked into our strategy. Understand and be eager to learn new and evolving technologies & techniques around financial analytics. Hands-on experience in data science including: -Data handling, data processing and programming. -Develop automated solutions for sourcing. -Analyse 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. Build POCs, visualizations and pipeline tools for product design and development. Work with development groups for deployment of analytics solutions. Work with other internal teams as needed, with supervision. Build and on-board on AWS/Cloud platform. Expertise in various sourcing, scraping, crawling, extraction, pre-processing & post processing using new technologies including prompt engineering. Processing structured, semi-structured & unstructured data from pdf & scanned documents, Required Skills: A background in data / feature engineering / data science / NLP / Predictive Model / LLMs / RAG Workflow / Hands on experience with market leading commercial or open-source data management products. An agile practitioner, having led agile teams from a product manager/owner perspective. Good interpersonal and communication to grasp and articulate technical, financial, and conceptual ideas. Good project management understanding, analytical, and prioritization skills. Strong influencing skills to drive a direct and indirect team to implement product strategy. Extensive experience using Python tools, packages, libraries, model building. Solid relational database skills, statistics, and statistical language. Ability to handle large quantities of data. Strong written, communication and presentation skills. Able to respond and present work to peers, senior management, and other partners. Broad business knowledge and knowledge of all relevant business relationships within the Company. Resolve sophisticated business issues through application of in-depth skills, knowledge and understanding of industry issues. Good understanding of Python programming concepts and leading practices and Solid SQL skills. Knowledge of MLOps approaches. Experience in Cloud computing. Experience as full stack data scientists for 3-5 years. Preferred Experience in large investment banking or financial services organisations. Worked with executives and / or C-Suite individuals. Worked with a distributed team. Education: Higher education in Statistics, Mathematics or Engineering in Computer Science with Data science certification Any Degree or relevant experience along with expertise in programming languages like Python, R, VBA, SQL etc. Career Stage: Senior Associate Compensation Information: LSEG is committed to offering competitive Compensation and Benefits. The anticipated annual gross base salary for this position is between 142,900 zł - 226,100 zł. Please be aware base salary ranges may vary by geographic location. In addition to our offered base salary, this role is eligible for our Annual Bonus Plan ("bonus plan"). Target Bonus % will be commensurate with role level and posted career stage. Individual salary will be reflective of job-related knowledge, skills and equivalent experience. Benefits Information: LSEG r

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