Postuler

Publié il y a 3 jours

Senior Data Scientist - AI & Advanced Analytics

@ Delpath

Toronto, Ontario

Contrat5+ ans d’expérience
Postuler
SIGNAUX

En bref

Delpath is hiring a Senior Data Scientist on a one-year contract for a large Canadian bank's Corporate Functions Analytics team in Toronto, with 2-3 office days per week. The role designs and implements advanced analytics and AI solutions, including predictive modeling for cross-sell, upsell and attrition. The posting requires 5-8 years of experience, a STEM degree, and strong Python, Spark, R, SQL, cloud and Power BI skills.

Responsabilités :

  • Design and implement advanced analytics and AI solutions
  • Uncover actionable insights from data
  • Build predictive models for cross-sell, upsell and attrition
  • Manage structured and unstructured data at scale
  • Document work and present findings to stakeholders

Résumé des exigences :

  • 5-8 years of AI, machine learning and data engineering experience
  • Relevant STEM degree required
  • Python, Spark, R and SQL programming
  • Cloud environment and Power BI experience
  • Strong collaboration and technical communication skills

Outils et compétences

Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-11-10
Première détection par notre source
2026-11-14
Mise à jour du dossier source
2026-11-14

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineDonnées et analytique
Expérience5 an(s) et plus
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé)
Domaines d’étudesSTEM

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

ChampValeur
Offres sur Jobsy11
Description

Senior Data Scientist - AI & Advanced Analytics

Delpath is a Toronto based Technical & Business Consulting firm providing recruitment & contracting services for our enterprise clients across North America. We are currently supporting a large Canadian Bank in their search for a contractor to meet their needs in the following area.

Location Address: Toronto- 2-3 days in the office per week.

Contract Duration: 1 year

Story Behind the Need- Corporate Functions Analytics

The Senior Data Scientist within the Corporate Functions Analytics team is responsible for designing and implementing advanced analytics and artificial intelligence (AI) solutions that address complex business challenges across bank’s global Corporate Functions. This role requires a strong drive to uncover actionable insights from data and apply those insights to identify and capitalize on business opportunities.

Must-have requirements:

5- 8 years of experience and advanced expertise in AI and machine learning, data engineering to develop solutions within the Corporate Functions Analytics team.

A relevant STEM degree is required, along with experience in statistical analysis, machine learning, and predictive modeling (cross-sell, upsell, attrition).

Strong programming skills (Python, Spark, R, SQL), experience with Cloud environments, and visualization tools like Power BI are expected.

Applicants are required to manage substantial amounts of both structured and unstructured data, utilize machine learning techniques for strategic development, and preferably possess expertise in operations research methodologies for optimizing strategies.

Strong collaboration skills, the ability to clearly convey technical information as business value, and proficiency in documentation and presenting findings are essential.

Nice-To-Have Skills:

Spanish proficiency is an asset

Managing business stakeholder experience is an asset

Previous banking experience is an asset

Best VS. Average Candidate:

The best candidate takes ownership, has experience leading development, and understands data. Someone who has spent plenty of years translating business requirements into data and analytics results. Someone who can demonstrate proactivity in data and analytics by combining curiosity, business acumen, and ownership.

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