Job Summary
Job Description
What is the Opportunity?
As the Senior Data Scientist, you will lead data analysis and machine learning initiatives, work closely with cross functional teams to solve complex business problems and drive data-driven decision making for RBC Insurance.
What will you do?
- Be innovative, a problem solver, and a fast learner capable of thinking outside the box to research, prototype and deploy ML/AI solutions to business problems with focus on scalable services and tangible outcomes.
- Develop, test, and validate ML models to address business needs and conduct exploratory data analysis to understand data and extract key insights.
- Collaborate with enterprise technology teams to develop and reuse ML/AI solutions and adopt enterprise cloud technologies.
- Review/write code in either Python, Java or shell scripting to support business needs and requirements.
- Work closely with product managers and business stakeholders to understand business problems, define analytical requirements, and translate them into data science problems.
- Work with data engineers, ML engineers, and software developers for the end-to-end development and delivery of the solutions in production.
- Produce data-driven insights and visualizations to help with informed decisions and actions by telling a convincing story and effectively communicate findings to business partners and executives.
- Provide mentorship and guidance to other junior data scientists in the team.
What do you need to succeed?
Must-have:
- Minimum 3 years of industry experience building AI solutions and pipelines in production.
- A degree in Computer Science, Engineering, Applied Mathematics, Statistics, Physics, or relevant fields.
- Strong expertise in different deep neural network architectures machine learning frameworks (Scikit-learn, Tensorflow, PyTorch, Keras), Large Language Models, GenAI technologies, and RAG solutions.
- Advanced Python coding skills and hands on experience in developing end-to-end ML pipelines for solving business problems.
- Strong analytical thinking, problem-solving, technical documentation, and presentation skills.
- Effective communication skills to work with cross-functional teams, explain complex technical concepts to non-technical stakeholders, and providing technical leadership and mentorship within a team.
Nice-to-have
- Experience with leveraging MLOps, cloud computing, and data science platforms like Microsoft Azure, AWS, and Snowflake.
- Experience writing code in more than one programming language commonly used for backend development as well as developing and consuming Webs Services/Rest APIs in a secure fashion.
- DevOps experience with continuous integration/delivery best-practices, technologies, and tools such as GitHub, Jenkins, Nexus, JIRA, Confluence
- Experience with containerization tools and technologies such as Docker, Kubernetes, RedHat OpenShift Container Platform (OCP)
- Experience in developing semantic search engines, AI chatbots and agents and working with conversational AI platforms.
- Experience with big data technologies - parallel processing techniques and Apache Spark, NoSQL/SQL databases
What’s in it for you?
- A Total Rewards program that includes flexible benefits, work/life balance and career development programs and investment and retirement savings plans
- Competitive pay and high-earning potential
- All the tools, training, and team support you need to grow your career.
- Flexible work/life balance options
- Sophisticated RBCI and enterprise software tools and technologies to boost your productivity.
RBC Insurance is an organization that succeeds by bringing out the best in its people. You’ll be part of a supportive, inclusive team that shares common values – including a fundamental respect for each other. At the heart of this is a commitment to diversity. RBC respects and responds to the many competing and evolving priorities in our lives – so you can focus on what you can do best – putting clients first.
Job Skills
Agile Scrum Development, Analytical Thinking, Applied Machine Learning, Big Data Management, Cloud Technology, Data Analysis, Data Science, Deep Learning, DevOps, Generative AI, Large Language Models (LLMs), Machine Learning Operations, Natural Language Processing Tools, Predictive Analytics, Problem Solving, Python (Programming Language)
Additional Job Details
Address:
MEADOWVALE BUSINESS PARK, 6880 FINANCIAL DR:MISSISSAUGA
City:
MISSISSAUGA
Country:
Canada
Work hours/week:
37.5
Employment Type:
Full time
Platform:
INSURANCE
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2024-11-15
Application Deadline:
2024-11-29
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Inclusion and Equal Opportunity Employment
At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.
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Expand 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.
What We Do
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 88,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada’s biggest bank, and one of the largest in the world based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com.
We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities.
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