Data Scientist

Mississauga, ON, Canada

Synechron

Synechron is an innovative global consulting firm delivering industry-leading digital solutions to transform and empower businesses.

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We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.

  

Our challenge

The Data Scientist position will serve as a key member for Applied AI team holding expertise in machine learning and AI capabilities, working on ML/AI model development, evaluation and deployment based on a large scale data processing.

Additional Information* 

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Mississauga, ON is CAD $120k – CAD $130k/year & benefits (see below).

The Role

Responsibilities:

  • Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.
  • Collaborate with stakeholders across cross functional teams to understand data needs, translate them into impactful data-driven solutions and deliver these in partnership with the technology team.
  • Develop and integrate functionality to ensure adherence with best-practices in terms of data management, and data governance.
  • Mines and analyses data from various banking platforms to drive optimization and improve data quality.
  • Collaborate on design and implementation of workflow solutions that provide long term scalability, reliability, and performance, and integration with reporting.

Requirements:

  • 10+ years experience as a Data Scientist.
  • Expertise and hands-on experience in advance programming using: SAS / Python / pySpark and SQL for data mining; additional experience and knowledge of Big Data tools preferred.
  • Excellent Python programming skills, including experience with relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualization and API libraries (matplotlib, plotly, streamlit, Flask, etc).
  • Understanding of Gen AI models , Vector databases , Agents and follow the market trends. Its desirable to have a hands-on experience on these.
  • Substantial experience using tools for statistical modelling of large data sets.
  • Some familiarity with data workflow management tools such as Airflow as well as big data technologies such as Apache Spark or other caching and analytics technologies.
  • Expertise in model training, Statistics, model evaluation , deployment and optimisation including RAG-based architectures.
  • Good communication skills (oral and written in English).
  • Must be a team player and able to support team deliverables while delivering on individual responsibilities.

Preferred, but not required:

  • Excellent verbal and written communication.

We offer:

  • A multinational organization with 58 offices in 21 countries and the possibility to work abroad.
  • 15 days (3 weeks) of paid annual leave plus an additional 10 days of personal leave (floating days and sick days).
  • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-term disability.
  • Flexible hybrid policy.
  • RRSP with employer’s contribution up to 4%.
  • A higher education certification policy.
  • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
  • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
  • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
  • A truly diverse, fun-loving and global work culture.

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT
 

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.


All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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Category: Data Science Jobs

Tags: Airflow APIs Architecture Banking Big Data Blockchain CAD Consulting Consulting firm Data analysis Data governance Data management Data Mining Data quality DevOps Engineering Flask Generative AI Keras Machine Learning Matplotlib ML models Model training NumPy Pandas Plotly PySpark Python PyTorch RAG Research SAS Scikit-learn Spark SQL Statistics Streamlit TensorFlow

Perks/benefits: Career development Equity / stock options Flex hours Health care Insurance Medical leave

Region: North America
Country: Canada

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