Contract Duration: Start ASAP, Initially 6 months (possibility of extension)Schedule Hours: 9am-5pm, Monday-Friday (standard 37.5 hrs/week)Work Environment: Hybrid ModelReason: New ProjectStory Behind the NeedThis is an opportunity to play a critical role in building real-time analytics capabilities within a leading bank in the GTA. If you have the expertise in data engineering, machine learning, and quantitative modeling,Typical Day in RoleImplementing and automating models developed by the product team.
Generating statistical models based on use cases and ensuring correct correlation analysis for clients (e.g., identifying similar clients and generating insights based on similarities). Turning data into code to help client's Capital Market deliver real-time analytics to customers. Supporting the transition from batch processing to real-time insights, helping build the framework and engine for this initiative.
Soft Skills: Strong Communication, Stakeholder Management, Time Management, Adaptability, Problem SolvingCandidate Requirements/Must-Have Skills:7+ years of experience in a data science role
Expert-level Python skills (pandas, NumPy, matplotlib, requests, scikit-learn)Strong experience in machine learning frameworks such as PyTorch (or Keras, TensorFlow, Apache Spark)Hands-on experience optimizing quantitative models
Deep knowledge of mathematics and statistics
Experience in data engineering for distributed stream processing
Previous exposure to AI tools and technologies
Strong communication skills, ability to work with cross functional teams, ability to translate technical terminology, strong initiative, team first mentality, creative and curious to learn. Nice-to-Have SkillsExperience in banking or capital marketsEducationBachelor's degree in a technical field such as computer science or computer engineering. Best vs. Average CandidateThe ideal candidate will possess strong soft skills and a can-do attitude.
Meeting 80% of the technical skills and 20% of the domain knowledge would be ideal. Experience in banking or capital markets is a strong plus.___About Us: Collabera is a leading Digital Solutions company providing software engineering solutions to the world's most tech-forward organizations.
With more than 25 years of experience, we have hired over 17000 employees across 60+ offices globally and currently place 10000+ professionals annually to support critical IT engagements at more than 500 client sites, 80% being the Fortune 500. {and 59% of the Fortune 50 (could use either stat)} With Collabera, you
- Will get to work on numerous challenging and exciting projects, including UI/UX transformation, Blockchain, AI/Data Science, Cloud migrations, Cyber-Security and Engineering.
- At Collabera you have 80% chances of project extension or redeployment to other clients
- Will have endless opportunities to learn new technologies through our inhouse Training arm -- Cognixia.
