Tekshapers

Data analytic

Tekshapers

Canada

Accepting Applications Full-time On-site LinkedIn
Posted 1 week ago 1 views 0 applications
Job Description

Urgent Role -: Data Analytics (Data Scientist)

Role Classification: Data Scientist

Location: Toronto, Ontario, Canada

Job Summary

We are seeking a highly analytical and business-oriented professional for the role of

Data Analytics (Data Scientist)

. The incumbent will be responsible for designing and deploying advanced analytical and machine learning solutions to address complex business problems, particularly within the BFSI/insurance domain. This role requires a strong blend of technical expertise, statistical knowledge, and stakeholder communication capabilities.

Key Responsibilities

  • Develop, validate, and deploy

predictive and machine learning models

using structured and unstructured data sources.

  • Analyze large and complex datasets to derive actionable insights and support data-driven decision-making.
  • Translate

business problems into analytical frameworks

and recommend appropriate modeling approaches.

  • Apply advanced statistical and machine learning techniques such as

clustering, logistic regression, random forest, gradient boosting, support vector machines, and deep learning

.

  • Perform

data extraction, transformation, and data wrangling

to prepare datasets for modeling and analysis.

  • Collaborate with cross-functional stakeholders to understand requirements and deliver analytical solutions aligned with business objectives.
  • Communicate analytical findings effectively through

presentations, dashboards, and reports

to both technical and non-technical audiences.

  • Continuously monitor and improve model performance and ensure robustness and scalability of solutions.

Technical Skills \& Experience

  • Strong programming expertise in

Python

(mandatory), including libraries such as Pandas, NumPy, scikit-learn.

  • Working knowledge of

R

is preferred.

  • Hands-on experience with

machine learning model development and evaluation

.

  • Experience working with

large datasets and Big Data technologies

is an asset.

  • Strong foundation in

statistics, data modeling, and analytical problem-solving

.

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Tekshapers
Tekshapers
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