Data Science Lead

Job Description

What is the opportunity?RBC Capital Markets is strengthening its Client Analytics & AI franchise to drive measurable front-office impact across Sales & Trading and Banking. This is a senior, hands-on leadership role for an AI builder who can shape a multi-quarter roadmap, deliver globally scalable capabilities, and accelerate adoption with EMEA stakeholders.You will be responsible for defining the EMEA-facing AI agenda (priorities, adoption, outcomes) and delivering reusable analytics and AI products in partnership with global teams, front-office leadership, Risk, Compliance, and Technology.This role requires 4 days in the office (London, UK).
What will you do?Own EMEA adoption and delivery for globally scalable Client Analytics & AI products, turning front-office priorities into a sequenced roadmap with measurable commercial outcomes.Act as the senior AI partner to EMEA Sales & Trading and Banking leadership, shape use cases, align on success metrics, and drive sustained usage in daily workflows.Provide technical leadership from design through rollout, setting standards for scalable architecture, evaluation, and reuse in partnership with Technology and Data teams.Lead cross-functional execution across Front Office, Technology, Compliance, and Data & control partners, ensuring clear decisions, strong delivery cadence, and accountable ownership.Embed strong risk management practices in operation. Ensure solutions meet internal control standards (Model Risk Management – MRM where applicable), data privacy (UK GDPR), conduct requirements, and operational resilience expectations; coordinate approvals and ongoing monitoring with Risk/Compliance partners.Strengthen RBC’s EMEA AI community presence: mentor talent, shape hiring needs, run internal showcases, and elevate best practices that scale across desks and regions.Influence the global strategy by surfacing EMEA needs, scaling wins, and standardizing what works across asset classes and business lines.What do you need to succeed?Must-haveBachelor’s degree in Computer Science, Engineering, Finance, Mathematics, Statistics or a related quantitative discipline, or equivalent practical experience.Extensive experience delivering applied analytics/AI products end-to-end in complex enterprises with significant capital markets experience.Proven ability to drive outcomes with senior stakeholders across front office, Technology, and control functions. Prioritizes work that impacts revenue, wallet retention, conversion, and productivity over vanity outputs.Strong hands-on technical foundation in modern ML/AI systems and evaluation, with the ability to steer architecture and make pragmatic trade-offs.Demonstrated experience navigating risk/compliance considerations in production delivery (e.g., MRM processes where relevant, data governance/privacy, operational risk controls).Leadership track record: mentoring teams, leading delivery, influencing without authority, and communicating crisply to technical and non-technical audiences.Nice-to-have:Master/PhD degree in AI, Data Science, or a related ML disciplineExperience with Graph / relationship intelligence (embeddings, clustering, routing, warm paths, GNN), causal inference / uplift, optimization/OR (e.g., scheduling/assignment problems for corporate access or coverage capacity).Experience with major market/CRM data ecosystems and external capital markets datasets (e.g., wallet benchmarks, sponsor intelligence, deal activity).Cloud and production experience (e.g., Kubernetes, Databricks/Spark, feature stores, CI/CD) with an evaluation-first mindset.Track record of leading small squads and scaling a product’s adoption across desks/regions.What is in it for you?We thrive on the challenge to be our best - progressive thinking to keep growing and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.• A comprehensive Total Rewards Program including bonuses, flexible benefits and competitive compensation
• Leaders who support your development through coaching and managing opportunities
• Opportunities to work with the best in the field
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• A world-class training program in financial services.Agency Notice 
RBC Group does not accept agency resumés. Please do not forward resumés to our employees, nor any other company location. RBC Group only pay fees to agencies where they have entered into a prior agreement to do so and in any event do not pay fees related to unsolicited resumés. Please contact the Recruitment function for additional details.Job SkillsActuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)Additional Job Details

Address:

100 BISHOPSGATE:LONDON

City:

London

Country:

United Kingdom

Work hours/week:

35

Employment Type:

Full time

Platform:

CAPITAL MARKETS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-02-02

Application Deadline:

2026-02-16Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date aboveInclusion and Equal Opportunity EmploymentAt RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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