Technical Business Analyst - Big Data

Sydney, New South Wales Cognizant

Posted 10 days ago

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Job Description

We are seeking a highly skilled Technical Business Analyst with a strong background in Big Data technologies to join our dynamic team. This role is pivotal in bridging the gap between business needs and technical solutions, ensuring the successful delivery of data-driven initiatives.
**Key Responsibilities:**
+ Gather and document technology requirements from business stakeholders.
+ Understand and interpret Big Data application architecture.
+ Prepare detailed Big Data specifications.
+ Conduct requirement walkthroughs with development and testing teams.
+ Liaise with business units for requirement clarifications and changes.
+ Review functional specifications from a technology perspective.
+ Evaluate test strategies and scenarios prepared by QA teams.
**To be successful in this role, your skills and background should include:**
+ Experience IT Business Analysis, with at least 3 years in Big Data technologies.
+ Strong analytical skills with the ability to manage and interpret large volumes of confidential data in a multi-cluster MS Azure environment.
+ Excellent verbal and written communication skills.
+ Ability to manage functional requirements and maintain stakeholder engagement.
+ Background in banking or insurance industries is preferred.
+ Technical Proficiency:
+ Big Data Stack: Spark, Hive, HBase, Apache Phoenix, Pig
+ Programming & Scripting: Python, Scala, Java, SQL, Unix Shell Scripting
+ Databases: Oracle, Teradata
+ Cloud Platforms: Azure, AWS, or GCP
+ ETL Tools: IICS, Informatica PowerCenter
**Benefits**
Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise.
We recognize that our people perform at their best when they feel valued as significant contributors and that is why at Cognizant, taking care of our employees is a priority:
+ You can pursue innovative career tracks and opportunities here
+ You can enhance your professional development through education and dedicated training
+ We'll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future.
Please reach out to our friendly and welcoming team today to apply and register your interest for this Technical Business Analyst - Big Data position.
At Cognizant, we engineer modern businesses to improve everyday life because we're dedicated to making a lasting impact. Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at or @cognizant.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
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Machine learning researcher - group

Sydney, New South Wales Susquehanna International Group

Posted 1 day ago

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Job Description

full time

Overview

Susquehanna is expanding the Machine Learning group and seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural language understanding, and more. Your work will directly influence our trading strategies and decision-making processes.

This is a unique opportunity to work at the intersection of cutting-edge research and real-world impact, leveraging one of the highest-quality financial datasets in the industry.

What You'll Do

  • Conduct research and develop ML models to enhance trading strategies, with a focus on deep learning and scalable deployment
  • Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
  • Design and run experiments using the latest ML tools and frameworks
  • Develop automation tools to streamline research and system development
  • Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
  • Partner with engineering teams to implement and test models in production environments


What We're Looking For

We're looking for research scientists with a proven track record of applying deep learning to solve complex, high-impact problems. The ideal candidate will have a strong grasp of diverse machine learning techniques and a passion for experimenting with model architectures, feature engineering, and hyperparameter tuning to produce resilient and high-performing models.

  • PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field
  • Strong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systems
  • A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
  • Strong programming skills in Python and/or C++
  • Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments
  • Hands-on experience applying deep learning on time series data
  • Strong foundation in mathematics, statistics, and algorithm design
  • Excellent problem-solving skills with a creative, research-driven mindset
  • Demonstrated ability to work collaboratively in team-oriented environments
  • A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment


Why Join Us?

  • Collaborate with a world-class team of researchers, engineers, and traders
  • Gain access to best-in-class financial data and high-performance computing resources
  • Directly impact real-time trading performance through your work
  • Thrive in a collaborative, intellectually rigorous environment with a global footprint


If you're a recruiting agency and want to partner with us, please reach out to . Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

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Junior data scientist

2065 Naremburn, New South Wales NSW Government

Posted 4 days ago

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Job Description

contract

Role Title: Junior Data Scientist

Employment Type: Temporary Full Time (up to 31 December 2025)

Position Classification: Health Manager Level 2

Remuneration: $109,857 - $29,624 plus Superannuation (12%)

Location: 1 Reserve Road, St Leonards NSW

Hours Per Week: 38

Requisition ID: REQ595159

Closing Date: 11:59pm Wednesday 13 August 2025

Join the State ODS Program in the System Performance Support Branch at Ministry of Health for an exciting temporary employment opportunity up to 31 December 2025 and be part of the team enriching health in millions of ways every day.

About Us

  • We offer robust development and growth support to all our employees, ensuring you have the resources and opportunities to thrive in your career.
  • Explore boundless potential in a dynamic environment.
  • Join a passionate team dedicated to innovation and creativity.

To learn more about the Ministry and what benefits we offer, access our Employee Benefits Handbook.

About The Role

With your skills and experience, you can contribute to the millions of ways we’re enhancing health and wellness while developing your career as part of the largest health organisation in Australia.

The Junior Data Scientist is responsible for high quality data science and advanced analytics work which is the responsibility of the State Operational Data Store Program. This position will be expected to apply superior data science and statistical modelling techniques, tools and processes to the unique health data. You will be part of a multi-disciplinary team and be responsible for investigative analytics work, structured statistical model building and the associated data engineering pipeline and platform for key enterprise solutions on behalf of State ODS Program initiatives as commissioned by NSW Health.

The Health Manager level 2, starting salary from $1 9,857 - 129,624 plus Super and annual leave loading, with a 38-hour work week.

What You’ll Be Doing

  • Complete advanced data analysis and data scientist related tasks for projects undertaken by the State ODS Program team.
  • Review and develop machine learning based algorithms and where appropriate, tune or tweak the algorithms to ensure it is relevant, output is reproducible and reflects modern techniques.
  • Perform algorithm validation including relevant documentation of test case and evidence of test execution outcomes
  • Interpret output derived from algorithms generated and understand the assumptions applied during development of algorithms and the limitations.
  • Providing output of the developed algorithms to the development team in a manner which allows for the deployment in an application production environment.

About You

We are seeking a motivated and committed individual who can support the work of NSW Health with the following experience;

  • Relevant tertiary qualifications and / or relevant experience in Data Science, Data Analytics, Actuarial, Mathematics, and Statistics. A history of openness and curiosity to explore new analytics techniques and data engineering principles and tools is essential.
  • Experience (>1 years) with a range of analytics methodologies, ideally including predictive modelling (e.g. Generalised Linear Model regression, discriminant analysis, or similar)
  • Experience (>1 years) in machine learning concepts and algorithms (e.g. supervised and unsupervised learning, regression, classification, clustering, and natural language processing (NLP), deep learning techniques, neural networks etc.) is desirable.
  • Experience (>1 years) in the utilisation of SQL, Python, Jupyter Notebook and Panda/ Numpy/ SQLAlchemy/ Matplotlib Library
  • Experience (>1 years) in data wrangling process and demonstrated competency in cleaning and organising complex dataset.

How To Apply

At The Ministry of Health, we want you to make the most of the opportunities you’ll get to grow your skills and your career, surrounded by authentic, smart people and leaders.

Please review the role description and submit your up-to-date resume (up to 5 pages) and cover letter (1-2 pages), explaining your interest and motivation in applying for this role and highlighting your relevant skills.

For role related queries or questions contact David Sze on (hiring manager details) and quote REQ595159.

If you do require any adjustments to the recruitment process during the recruitment process, please contact

Closing Date: 11:59pm Wednesday 13 August 2025

Need more information?

  • Click here for the Position Description
  • Find out more about applying for this position

For role related queries or questions contact Ashley Baveas on

Our commitment to Diversity and Inclusion

At the Ministry of Health, we are committed to creating a diverse, inclusive and flexible environment which reflects the community and customers we serve. We actively promote the employment of women, people with a disability, Aboriginal and Torres Strait Islander peoples, LGBTIQ+ community and people from culturally and linguistically diverse backgrounds.

If you identify as Aboriginal or Torres Strait Islander and would like assistance with your application or to obtain more information on how to apply, please visit The Stepping Up Initiative.

To be eligible for employment in these roles you must be an Australian citizen, or a permanent resident of Australia, or a New Zealand citizen with a current New Zealand Passport, or hold a valid visa with permission to work in Australia.

Additional Information

  • This is a temporary role and there may be opportunities for ongoing employment at grade.
  • This recruitment may be used to create a Talent Pool for similar future roles (ongoing or temporary) that may arise over the next 18 months.
  • Please note the selection process will include a range of merit-based techniques to assist in determining your suitability for the role.

For more information about working at the NSW Health, please visit our career portal.

Applications Close: 11:59pm Wednesday 13 August 2025

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