{"id":1244635,"url":"https://alion.io/job/rbc-staff-data-scientist-global-security","title":"Staff Data Scientist - (Global Security)","company":{"id":1757835,"name":"Royal Bank of Canada","domain":"rbc.com","url":"https://alion.io/company/rbc-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":100,"open_postings":46,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":11,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":78000,"max_usd":191000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"NLP","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true}],"status":"closed","first_seen_at":"2026-09-24T00:00:00Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-05T19:14:11Z","board_verified":false,"closed_at":"2026-10-05T19:14:11Z","days_open":11,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":11},"description":"Job Description\nWhat is the opportunity?\nWe have an exciting opportunity in Global Cyber Security!\nAs a Senior Data Scientist in our team, you will lead the development and deployment of advanced machine learning models to proactively identify and mitigate evolving digital and cyber threats. You will collaborate closely with cross-functional teams to translate complex technical insights into actionable strategies, driving significant business impact and safeguarding RBC clients and data.\nData Science allows us to identify trends, anticipate malicious behaviours, perform pattern matching, discover new threats, and predict the outcomes of future events. Working as part of the Joint Security Operations Center (JSOC), you’ll specialize in taking full advantage of large data sets to explore and discover new insights that would have not been possible with traditional analytics. Leveraging leading edge technologies and capabilities, you will apply machine learning and statistical modelling techniques to help RBC to proactively defend its digital information.\nWhat will you do?\nWork closely with stakeholders to understand their needs and build solutions using advanced machine learning methods in the domains of fraud, cybersecurity, and data privacy\nDesign and implement end-to-end data pipelines: from data cleaning to model development to writing production level code\nLead complex data science projects from inception to completion\nQuickly learn new methods, big data tools and technologies presented in research communities to implement and adapt within our data products and models\nCollaborate proactively with various business and operation units to design innovative solutions to optimize processes and deploy production-scale solutions\nWork on challenging and research-based initiatives using advanced machine learning methods focusing on tangible outcomes\nMentor and guide junior data scientists\nWhat do you need to succeed?\nMust have:\nAdvanced degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Engineering) with a strong theoretical foundation\nProven expertise in developing and deploying complex machine learning models, including deep learning architectures, for solving challenging problems\nHighly proficient programming skills (Python, PySpark) and a deep understanding of statistical modeling, data mining techniques, and big data technologies\nDemonstrated ability to translate complex technical concepts into actionable insights and communicate effectively with both technical and non-technical stakeholders\nPassion for innovation and curiosity to explore emerging technologies and methodologies\nNice-to-have:\nPrevious experience in cybersecurity/fraud domains\nExperience with MLOps to build end-to-end pipeline and deploying models in production\nExperience with graph analytics\nExperience with cloud platforms (AWS, Azure, GCP)\nWhat’s in it for you?\nWe 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.\nA comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable\nLeaders who support your development through coaching and managing opportunities\nAbility to make a difference and lasting impact\nWork in a dynamic, collaborative, progressive, and high-performing team\nA world-class training program in financial services\nFlexible work/life balance options\nOpportunities to do challenging work\n Job Skills\nArtificial Intelligence (AI), Big Data Analytics, Computer Science, Cybersecurity, Data Mining, Data Processing, Data Science, Decision Making, Deep Learning, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Statistical Models, Structured Query Language (SQL)Additional Job Details\nAddress:\n330 FRONT ST W:TORONTOCity:\nTorontoCountry:\nCanadaWork hours/week:\n37.5Employment Type:\nFull timePlatform:\nTECHNOLOGY AND OPERATIONSJob Type:\nRegularPay Type:\nSalariedPosted Date:\n2026-09-24Application Deadline:\n2026-10-23Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above\nOur Employment Opportunities\nAt RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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.\nJoin our Talent Community\nStay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.\nExpand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.\nRBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. 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