ANZ is hirig for a fresher entry level Data Scientist role in India

Position:

• Title: Data Scientist/Machine Learning Engineer
• Req ID: 84838

Company:

• Name: ANZ (Australia and New Zealand Banking Group)
• Industry: Banking and Financial Services
• Mission: Shaping a world where people and communities thrive, driven by improving financial wellbeing and sustainability.

Location:

• City: Bengaluru
• Country: India

Job Type:

• Type: Full-Time

Job Mode:

• Mode: Hybrid

Job Requisition ID:

• ID: 84838

Years of Experience:

• Experience: Not explicitly mentioned; looks like a fresher entry level job as per JD: 0-3 years
  

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Company Description:

• ANZ is a globally recognized financial institution committed to improving the financial wellbeing of its customers and contributing to the sustainability of the communities it serves.
• The organization operates on the principle of leveraging technology and innovation to transform traditional banking.
• With a strong focus on customer-centric solutions, ANZ employs advanced data science and analytics to make informed business decisions.
• The company fosters a collaborative and inclusive environment, encouraging employees to drive change, deliver impact, and embrace continuous learning.

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Profile Overview:

• The role of Data Scientist/Machine Learning Engineer involves addressing and solving intricate business challenges using vast amounts of data.
• This position is pivotal in creating advanced algorithms that revolutionize key business operations and automate decision-making processes for bankers.
• Collaborating with Data Engineers and Analysts, the role requires identifying critical internal and external data sources to develop predictive and descriptive models.
• A core aspect is to communicate insights effectively using compelling data visualization techniques and storytelling.
• The role emphasizes the application of analytics for uncovering meaningful insights and fostering data-driven decision-making at all levels.

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Responsibilities:

Daily Activities:

• Data Problem-Solving: Analyze complex business issues by leveraging extensive datasets.
• Model Development: Build sophisticated algorithms to optimize business processes and automate decisions.
• Data-Driven Culture: Promote and implement a fact-based culture within the organization.
• Continuous Analysis: Develop, monitor, and present analysis and models for innovation and proposition enhancement.
• Model Deployment: Design and deploy models tailored to customers, products, and channels.
• Customer Profiling: Utilize tools to scientifically profile customer segments, assess associated costs, and identify risks and opportunities.
• Data Integration: Combine data from diverse sources to support strategic decisions on campaigns, pricing, and propositions.
• Innovative Capabilities: Initiate and implement innovative solutions in data science.
• Performance Optimization: Lead and execute business interventions aimed at improving customer engagement and business outcomes.

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Qualifications:

Technical Skills:

• Strong expertise in predictive modeling, pattern recognition, clustering, and machine learning techniques (both supervised and unsupervised learning).
• Proficiency in Python and its supporting libraries/packages for data science tasks.
• Hands-on experience in managing machine learning lifecycle using MLFlow.
• Expertise in data processing and transformation using PySpark and Object Store.
• Skilled in building and deploying pipelines for model training, deployment, and monitoring using Airflow.

Data and Analytics Proficiency:

• Proven ability to set up dashboards for ongoing ML model monitoring.
• Strong statistical modeling and data management capabilities.
• Adept at translating complex data insights into actionable business recommendations.

Communication and Leadership:

• Excellent communication and presentation skills tailored for diverse stakeholders, both technical and non-technical.
• Leadership qualities to inspire and guide teams towards achieving organizational goals.

Domain Knowledge:

• Comprehensive understanding of banking systems, products, services, and channels.
• A customer-centric mindset with a focus on delivering value.
• Analytical and inquisitive approach to enhance the level of automated decision-making.

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Additional Info:

• Work Environment: The position offers a hybrid working model, combining the flexibility of remote work with the collaborative opportunities of on-site operations.
• Career Growth: ANZ provides ample opportunities for learning and growth through innovative projects and exposure to cutting-edge technologies.
• Impact: The role is integral to shaping ANZ’s strategic initiatives, enhancing customer experiences, and driving business performance.
• Application Deadline: Interested candidates are encouraged to apply before 7th February 2025, at 11:59 PM (Melbourne, Australia Time).
• Diversity and Inclusion: ANZ is committed to fostering an inclusive culture, encouraging diverse talent, and supporting employees in achieving their professional goals.

Please click here to apply.

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