Data Analytics Graduate Job at Allianz (Sydney)

Analytics and Data Science Graduate Programme

Join TUI as part of the Analytics and Data Science Graduate Programme to work on...

Location

United Kingdom , Luton

Salary:

3078.75 GBP / Month ▼

TUI

Expiration Date

January 26, 2026

Requirements

Analytical approach to solving problems and creating solutions
strategic thinker
natural drive to achieve both individual and business results with a commercial focus
brings innovative ideas and insights
engages and collaborates with others
a focus on providing unrivaled service to our customers
hunger for learning
minimum of GCSE grade 4 or C (or equivalent) in English and Maths, and a commitment to gaining your Level 6 apprenticeship
minimum 2:2 degree classification in any subject
a passion for analytics and science, as well as an interest in the travel industry

Job Responsibility

Work directly with stakeholders from across the business, getting to the heart of a problem and providing workable business solutions
provide analysis that addresses the underlying problem, ensuring solutions are implemented with the impact being tracked and results measured
gain experience in managing and explaining complex analysis to a variety of stakeholders
use a range of modeling and analytical techniques supported by appropriate software to answer key business questions or deliver decision-making applications
thrive in an environment where you can learn from senior colleagues with experience in a wide range of industries and new technologies

What we offer

Fantastic holiday benefits including discounts, special offers, and the ability to purchase additional ‘TUI time off’
private medical insurance, single cover with option to add dependants
health and wellbeing support in five key areas—financial, health, social, community, and career
excellent rates with foreign exchange and discounts with retailers
discovery day—time to spend working at a local charity or community
investment in your development
pension scheme and life assurance
on completion of the graduate programme a voucher and an extra day off
access to student discount via Totum Apprenticeships
network of other apprentices and colleagues

Fulltime

!

Data Graduate Program

Fever’s Data Graduate Program is a unique six-month rotational program designed ...

Location

Spain , Madrid

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

Have a bachelor / master's / PhD degree in Data Engineering, Data Science, Computer Engineering, Telecommunications, Mathematics or a related field
Are among the top 10% of their class and have a strong academic record
Are curious, eager to learn, and excited to work in a fast-growing company
Have strong analytical and problem-solving skills
Have all your credits completed
Speak and understand business-level English

Job Responsibility

Learn how to build and manage scalable data pipelines
Work with tools like SQL, Python, and cloud-based databases
Work on real-world ML models and recommendations
Learn how ML models are developed, trained, and deployed
Analyze complex business problems and help drive data-driven decisions
Use A/B testing and predictive modeling to optimize Fever’s platform
Improve how data is collected across the complex Fever ecosystem (multiple websites and mobile apps) to deliver the best quality inputs to all internal areas and stakeholders to make better decisions

What we offer

A paid six-month contract in Madrid, with the opportunity to transition into a full-time role
Rotation across key data teams
Mentorship and training from experts in the field
A fast-paced, high-impact learning environment where you’ll contribute from day one
English lessons
40% discount on all Fever events
Cigna Health Insurance
Flexible remuneration with a 100% tax exemption through Cobee
Gympass Membership

Fulltime

Data Graduate Program

Fever's Data Graduate Program is a unique six-month rotational program designed ...

Location

Spain , Madrid

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

Bachelor/master's/PhD degree in Data Engineering, Data Science, Computer Engineering, Telecommunications, Mathematics or a related field
Top 10% of class with strong academic record
Curious, eager to learn, and excited to work in a fast-growing company
Strong analytical and problem-solving skills
All credits completed
Business-level English proficiency

Job Responsibility

Rotation across Data Engineering teams: build and manage scalable data pipelines using SQL, Python, and cloud-based databases
Rotation across Machine Learning teams: work on real-world ML models and recommendations, learn how ML models are developed, trained, and deployed
Rotation across Data Science teams: analyze complex business problems and help drive data-driven decisions using A/B testing and predictive modeling
Rotation across Web Analytics & Data Collection teams: improve data collection across Fever ecosystem using GA4 and Mixpanel

What we offer

Paid six-month contract with opportunity to transition into full-time role
Mentorship and training from experts
English lessons
40% discount on all Fever events
Cigna Health Insurance
Flexible remuneration with 100% tax exemption through Cobee
Gympass Membership
Relocation assistance for candidates outside Madrid

Fulltime

Graduate Data Engineer

As a Graduate Data Engineer, you will build and maintain scalable data pipelines...

Location

United Kingdom , Marlow

Salary:

Not provided

SRG

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Engineering, Mathematics, or similar, or similar work experience
Up to 2 years of experience building data pipelines at work or through internships
Can write clear and reliable Python/PySpark code
Familiar with popular analytics tools (like pandas, numpy, matplotlib), big data frameworks (like Spark), and cloud services (like Palantir, AWS, Azure, or Google Cloud)
Deep understanding of data models, relational and non-relational databases, and how they are used to organize, store, and retrieve data efficiently for analytics and machine learning
Knowledge about software engineering methods, including DevOps, DataOps, or MLOps is a plus
Master's degree in engineering (such as AI/ML, Data Systems, Computer Science, Mathematics, Biotechnology, Physics), or minimum 2 years of relevant technology experience
Experience with Generative AI (GenAI) and agentic systems will be considered a strong plus
Have a proactive and adaptable mindset: willing to take initiative, learn new skills, and contribute to different aspects of a project as needed to drive solutions from start to finish, even beyond the formal job description
Show a strong ability to thrive in situations of ambiguity, taking initiative to create clarity for yourself and the team, and proactively driving progress even when details are uncertain or evolving

Job Responsibility

Build and maintain data pipelines, leveraging PySpark and/or Typescript within Foundry, to transform raw data into reliable, usable datasets
Assist in preparing and optimizing data pipelines to support machine learning and AI model development, ensuring datasets are clean, well-structured, and readily usable by Data Science teams
Support the integration and management of feature engineering processes and model outputs into Foundry's data ecosystem, helping enable scalable deployment and monitoring of AI/ML solutions
Engaged in gathering and translating stakeholder requirements for key data models and reporting, with a focus on Palantir Foundry workflows and tools
Participate in developing and refining dashboards and reports in Foundry to visualize key metrics and insights
Collaborate with Product, Engineering, and GTM teams to align data architecture and solutions, learning to support scalable, self-serve analytics across the organization
Have some prompt engineering experience with large language models, including writing and evaluating complex multi-step prompts
Continuously develop your understanding of the company's data landscape, including Palantir Foundry's ontology-driven approach and best practices for data management

Graduate Trainee - Finance Analyst (Data Analyst)

This hybrid role leverages advanced data science and AI expertise to transform f...

Location

Malaysia , Penang

Salary:

Not provided

AMD

Expiration Date

Until further notice

Requirements

1-2 years of experience in data science, financial analytics, or business intelligence
Proficiency in Python, SQL, and ML libraries (Scikit-learn, TensorFlow, PyTorch)
Experience with data visualization tools and big data technologies
Strong business acumen and ability to communicate technical concepts to non-technical stakeholders
Exposure to ERP systems (SAP S4 preferred), master data management, and financial reporting
Experience with process improvement, automation, and project-based work
Excellent stakeholder management and communication skills
Bachelor’s degree in Finance, Data Science, Accounting, Statistics, or a related field
Chartered Financial Analyst (CFA), Master of Business Administration (MBA), or Certified Public Accountant (CPA) is an advantage

Job Responsibility

Develop and deploy predictive models (e.g., credit risk, fraud detection, revenue forecasting) using machine learning algorithms and time-series techniques (ARIMA, Prophet, XGBoost, Random Forest)
Design and implement generative AI solutions (LLMs, GANs) for workflow automation, information retrieval, and decision support
Build and maintain scalable data pipelines and infrastructure using tools like Airflow, KNIME, Snowflake, Hadoop, and Spark
Automate reporting processes and improve data pipelines for accuracy and efficiency
Perform exploratory data analysis and create visualizations (Power BI, Tableau, Plotly, Matplotlib) to communicate insights to stakeholders
Manage master data across financial systems to ensure consistency and integrity
Collaborate with cross-functional teams to translate business needs into technical requirements and deliver impactful solutions
Ensure compliance with data governance, financial regulations, and quality standards
Continuously experiment with new AI tools and techniques to drive innovation and process improvement

What we offer

AMD benefits at a glance

Data Science Graduate

Designs, develops and applies programs, methodologies and systems based on advan...

Location

United States , Spring

Salary:

60800.00 - 181200.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree in Data Science, Statistics, Operations Research, Computer Science or equivalent
Typically 0-2 years experience
Basic knowledge of data science methodologies
Basic understanding of business requirements and data science objectives
Basic data mapping, data transfer and data migration skills
Basic understanding of analytics software (eg. R, SAS, SPSS, Python)
Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend)
Basic communication and presentation skills
Basic data knowledge of relevant data programming languages
Basic knowledge of data visualization techniques

Job Responsibility

Participates in the analysis and validation of data sets/solutions/user experience
Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives
May load data into the infrastructure and contributes to the creation of the hypothesis matrix
Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses
Contributes to building models for the overall solution, validates results and performance
Contributes to the selection of the model that supports the overall solution
Supports the research, identification and delivery of data science solutions to problems
Supports visualization of the model's insights, user experience and configuration tools for the analytics model

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment

Fulltime

Data Science Graduate

Designs, develops and applies programs, methodologies and systems based on advan...

Location

United States , Ft. Collins

Salary:

64500.00 - 157500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

July 06, 2026

Requirements

Bachelor's degree in Data Science, Statistics, Operations Research, Computer Science or equivalent
Typically 0-2 years experience
Basic knowledge of data science methodologies
Basic understanding of business requirements and data science objectives
Basic data mapping, data transfer and data migration skills
Basic understanding of analytics software (e.g. R, SAS, SPSS, Python)
Basic knowledge of machine learning, data integration, and modeling skills
Basic knowledge of ETL tools (e.g. Informatica, Ab Initio, Talend)
Basic communication and presentation skills
Basic data knowledge of relevant data programming languages

Job Responsibility

Participates in the analysis and validation of data sets/solutions/user experience
Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives
May load data into the infrastructure and contributes to the creation of the hypothesis matrix
Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses
Contributes to building models for the overall solution, validates results and performance
Contributes to the selection of the model that supports the overall solution
Supports the research, identification and delivery of data science solutions to problems
Supports visualization of the model's insights, user experience and configuration tools for the analytics model

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment

Fulltime

HPE Graduate Program - Presales Graduate

A career as a PreSales Graduate allows you the opportunity to drive deals from q...

Location

Thailand , Bangkok

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Completed Bachelor’s or Master’s degree within the last 12 months from the start date in computer science, software engineering or equivalent
Strong understanding of cloud computing concepts, architectures, and services (e.g., AWS, Azure, Google Cloud)
artificial intelligence concepts, machine learning frameworks and data analytics
sustainability concepts, practices, and technologies, particularly in how they relate to IT solutions
security and containerization technologies (e.g. DevOps tools or Kubernetes)
Data Center Infrastructure & Networking concepts
Familiar with server operating system such as Windows Server, Linux
Proficiency in programming languages such as Python, Java, or JavaScript
Strong analytical skills with the ability to interpret complex data sets
Strong verbal and written communication skills in English

Job Responsibility

Gather information appropriately to develop an accurate understanding of customer technology infrastructure in the Data Centre Technologies Area
Contribute to the creation of an appropriate technical solution to meet the customer’s requirements
Adapts solution design to new requirement
Maintain good communications with customers and partners.
Advance opportunities effectively
Actively support the account team with product advice, BOM configuration, proposal support, presentations, and other customer/partner communications
Deliver product/solution presentations to customers/partner in one-one or public event.
Engage appropriate additional technical resources as needed

What we offer

Health & Wellbeing
Personal & Professional Development
Diversity, Inclusion & Belonging

Fulltime

Data Analytics Graduate

Allianz

Location:
Australia , Sydney

Category:
IT - Administration

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
May 01, 2025

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Job Description:

Job Responsibility:

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