Senior Lead Analyst - Analytics Technology

at  Infosys

Infosys is seeking experienced Data Scientist to join our dynamic team. The ideal candidate should have a proven track record of delivering impactful solutions using advanced analytics and machine learning techniques. This role requires strong expertise in Python, PySpark, Databricks, Java and other relevant technologies, along with a deep understanding of statistical analysis, predictive modeling, and data visualization.

REQUIRED QUALIFICATION:

• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• Candidates authorized to work for any employer in Canada without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
• At least 4 years of experience in Information Technology.
• Candidate must live within commuting distance of Montreal, Quebec or be willing to relocate. Travel within Canada may be required.
• Candidates authorized to work for any employer in Canada without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
• At least 4 years of experience in programming languages such as Python, along with experience using libraries and frameworks such as Pandas, NumPy, SciPy, Scikit-learn, and TensorFlow/PyTorch.
• At least 4 years of experience with big data technologies, including PySpark, Databricks, and Apache Spark, for large-scale data processing and analysis.
• At least 4 years of experience with cloud platforms such as Azure, or Google Cloud Platform, and familiarity with services such as Databricks Workspace.
• At least 3 years of experience in Collaborate with cross-functional teams to identify and prioritize business problems that can be solved using data science methodologies.
• At least 3 years of experience in advanced analytics techniques to extract insights from large, complex datasets and develop predictive models to support decision-making processes
• At least 3 years of experience in Develop and maintain scalable machine learning pipelines using Python, PySpark, and other relevant tools and frameworks

PREFERRED QUALIFICATION:

• Strong experience in Python data wrangling/analysis using Pandas, Numpy, Matplotlib, seaborn etc.
• Good understanding of version control tools like git & Experience building CI/ CD pipelines.
• Familiarity with deep learning libraries like Tensorflow, Keras, pytorch
• Understanding and awareness for Data science lifecycle
• Excellent business communication and excellent relationship management ability and the ability to work across business units within complex organization
  The job may entail extensive travel. The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face.

ABOUT US

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem

Please refer the Job description for details