Description
The Lead Data Scientist will work closely with Technology to influence the D&A Operations technology roadmap and partner with D&A Ops leaders to build a culture that cultivates Innovation, speed, and quality.
The individual will work closely with Specialists, Operations & Technology delivery teams to devise Enterprise solutions that deliver business and customer value. The role will manage stakeholders and co-ordinate with teams highly proficient in data science, machine learning, database development and front-end application engineering.
Key areas of focus for the role include:
- Product Owner for Enterprise Extraction solution
- Technology & Practices: Supports building and deploying of Enterprise solutions using emerging technology, data science, machine learning and developer toolkits in an Agile manner
- Business Expertise: Knowledge with the latest trends regarding Enterprise Solutions
- Strategic Thinking: Strategic thinker required in this role with a need to innovate and build Enterprise level solutions
- Culture Building: Works in partnership with Operations/Specialist Leaders to build knowledge, awareness, and organizational capabilities that enable innovation at scale
- Mentoring & Guidance: Mentor Data Science specialists ensuring deep expertise and rapid pace of delivery
Key Responsibilities:
- Support the development of Enterprise Solutions, MVP to test the applicability of emerging tech and ways of working
- Be the champion & product owner of enterprise extraction solution and work closely with D&A Ops for triaging and solutioning of use cases
- Lead the design and development of Enterprise Solutions, capabilities powered by AI/ML models
- Secure access to new data sources and technology for LSEG Operations
Culture Building:
- Create an Operations culture of innovation that support Ops strategic focus areas removing perceived barriers to execution
- Drive MVE team development to improve efficiency and expand Ops capabilities
- Work with communities of practice for AI/ML and other emerging technologies and methods of working
- Collaborate with D&A, Tech Ops & other stakeholders to influence technology roadmaps
Mentor:
- Mentor & guide the Data scientist team of AI/ML, adoption of industry leading practices and realization of business outcomes
Key Behaviours:
- Continuously adopt a pragmatic, flexible, and responsive approach
- Ability to priorities critical tasks whilst simultaneously managing competing demands
- Manage stakeholder engagements internally and externally
- Creates compelling proposals with technologists and business to drive innovation
- Use deep domain expertise in financial market content, data science and LSEG data and products
- Understand and staying aware of leading-edge techniques, tools and promote industry leading practices
Candidate Profile / Key Skills:
- Good interpersonal and communication skills
- Demonstrable experience working with AI/ML professionals & Tech Ops teams
- Experience managing full stack data scientists for 5-7 years
- Good understanding of Python programming concepts and leading practices and Solid SQL skills
- Ability to translate business, customers and end-users’ requirements to this into technical specifications, solutions and products, and metrics
- Extensive knowledge of MLOps approaches
- Extensive experience in Cloud computing
- Entrepreneurial thinker with the ability to take a problem statement, gather data and propose new / creative solutions