Senior Data Scientist

The Emerging Tech Standard Delivery Team will orchestrate adoption of new technologies and building 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 role will manage stakeholders and co-ordinate with teams highly proficient in data science, 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 and data analysis and be articulate and able to connect with technical and non-technical people.

The Lead Data Scientist will work closely with Technology to influence the D&A Operations technology roadmap and will partner with D&A Ops leaders to build a culture that cultivates Innovation, speed, and quality.

Key areas of focus for the role include:

• •Product Owner- Be the product owner for Enterprise Extraction solution and work with D&A Operations Leads and their teams to triage use cases based on Business benefit.
• •Technology & Practices: Supports building and deploying of Enterprise solutions using emerging technology, data science, machine learning and developer toolkits in an Agile manner that delivers value for D&A Operations.
• •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 to accelerate automations across D&A.
• •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

Technology & Business Practices

• •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 in anticipation future needs to meet GSOs and DSOs

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 to discover problems and use cases, as well as to translate business impact of on-going and completed projects.
• •Creates compelling proposals with technologists and business to drive innovation from conception to production with appropriate success metrics.
• •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.
• •Develop and implement operational strategy for the Tech Standard team.
• •Provide input and challenge for resolution of key issues that directly impact business.
• •Contribute to development of wider Customer Operations strategies.
• •Address complex business issues beyond immediate needs or where established policies can be adapted.

Candidate Profile / Key Skills

Essential

• •Good interpersonal and communication (verbal and written) skills and demonstrable ability to work effectively with all organisational levels.
• •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.
• •Educated to degree level or equivalent.

Preferred

• •Experience in large investment banking or financial services organisations.
• •Familiar with Refinitiv or LSEG processes and products.
• •Experience working with executives and / or C-Suite individuals.
• •Experience working with a global team.

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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