Data Scientist

We are HCLTech, one of the fastest-growing large tech companies in the world and home to 222,000+ people across 60 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud. The driving force behind that work, our people, are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be. If all this sounds like an environment you’ll thrive in, then you’re in the right place. Join us on our journey to advancing the technological world through innovation and creativity. Data Scientist Interested in building the next generation platform that handles petabytes of data and powers data insight creation using cutting edge data science technology? Excited about using Big Data, AI/Machine Learning and Data Analytics to deliver actionable insights? We are a dynamic team of top-notch engineers who are committed to make a dent in the FinTech universe. We are growing rapidly in Vancouver, beautiful British Columbia, and if you wish to be part of this Priceless® experience, read below. The Marketing Services (MS) Technology team is looking for a Data Scientist who will be trusted subject matter experts to uncover critical insights for value addition, cost reduction and driving scale. Key Responsibilities In this role, you will: Join the Marketing Services Technology team to support data science initiatives Collaborate closely with Senior Data Scientists to generate Client's transaction data insights, perform market segmentations, and provide campaign recommendations. Identify relevant data sources, collect and clean large structured and unstructured data, and integrate variables into model-building processes. You will also improve model algorithms by conducting error analysis and optimizing performance. Communicate key insights from analyses, experiments, and data products to stakeholders, ensuring data-driven decision-making across the organization. Required Skills and Qualifications: Bachelor’s degree in mathematics, statistics, engineering, or analytics related fields. A graduate degree is preferred but not required. Solid understanding and practical experience in machine learning techniques, including supervised and unsupervised learning. Proficiency in implementing various algorithms to solve business problems. Expertise in statistical models such as regressions, time series analysis, and other predictive modeling techniques to analyze and interpret complex data sets. Proficient in programming languages such as Python , PySpark, and SQL, with hands-on experience in writing efficient, reusable code for data analysis and machine learning projects. Experience with big data technologies like Hadoop, including the ability to manage and process large datasets in distributed environments. Ability to work effectively under the guidance of senior data scientists, contributing to model development and problem-solving while learning and refining new skills. Strong communication skills, with the ability to clearly present complex findings and insights to team members, both technical and non-technical, ensuring alignment and understanding of project objectives and outcomes. Collaborative mindset, with a willingness to work in a team-oriented environment Why Us Permanent contract Competitive salary Private health and life insurance from day one in the company Working hours: Monday to Friday Hybrid Work Model Meal allowance on card/voucher Equality & Opportunity for All Representing 165 nationalities across the globe, we pride ourselves on being an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Candidate Privacy Notice: