LTM (formerly LTIMindtree) is a global, AI-centric technology services and digital transformation partner helping enterprises reimagine business models, accelerate innovation, and drive growth through data, AI, cloud, and digital engineering. Trusted by leading organisations worldwide, LTM combines deep industry expertise with advanced analytics and intelligent automation to deliver measurable business outcomes and competitive advantage in an increasingly data-driven world. For more information visit - www.ltm.com
Data Scientist โ AI, Machine Learning & Advanced Analytics
Turn Data Into Decisions. Build the Future with LTM!
At LTM, we partner with some of the world's leading enterprises to solve complex business challenges through Data, AI, Cloud, and Digital Transformation.
We're looking for an experienced Data Scientist who is passionate about transforming data into actionable insights and developing machine learning solutions that deliver real business value. If you enjoy solving complex problems, building predictive models, and collaborating with business stakeholders to influence strategic decisions, this is an opportunity to make a real impact.
What You'll Be Doing
As a Data Scientist, you'll work across the full analytics lifecycle, partnering with business and technology teams to design, develop, and deploy advanced analytics and machine learning solutions.
Your responsibilities will include:
๐น Leading day-to-day data science activities, prioritising work, and ensuring high-quality project delivery
๐น Analysing large enterprise datasets to uncover trends, opportunities, and business insights
๐น Designing, developing, and deploying predictive machine learning models
๐น Building solutions that improve customer experience, optimise operations, and drive revenue growth
๐น Evaluating new data sources and recommending innovative approaches to data acquisition
๐น Testing, validating, and monitoring machine learning models to ensure ongoing performance and accuracy
๐น Working closely with Business Analysts, Project Managers, and business stakeholders to translate business problems into data-driven solutions
๐น Developing processes and frameworks for model governance, monitoring, and continuous improvement
What You'll Bring
โ Strong experience as a Data Scientist delivering enterprise analytics solutions
โ Strong understanding of statistics, predictive analytics, and machine learning techniques
โ Hands-on experience developing models using Python and/or R
โ Experience working with Azure Machine Learning Studio or similar cloud-based ML platforms
โ Strong knowledge of supervised and unsupervised machine learning algorithms including:
- Logistic Regression
- Random Forests
- Decision Trees
- Clustering
- Classification
- Regression Models
โ Experience working with large enterprise datasets
โ Strong analytical, problem-solving, and communication skills
โ Ability to explain complex technical concepts to business stakeholders
Highly Desirable
โญ Experience with Azure AI and Microsoft Data Platforms
โญ Knowledge of MLOps and model lifecycle management
โญ Experience with SQL, Power BI, or modern Business Intelligence tools
โญ Experience deploying machine learning models into production environments
โญ Exposure to Generative AI, Large Language Models (LLMs), or Responsible AI practices
โญ Experience working in Banking, Financial Services, Insurance, Retail, or Telecommunications
Why Join LTM?
At LTM, you'll join a team delivering enterprise-scale AI and analytics solutions for some of the world's leading organisations.
We offer:
โ Exciting Data & AI transformation programs
โ Exposure to the latest Microsoft AI and cloud technologies
โ Collaborative, high-performing teams
โ Opportunities to work across Machine Learning, Generative AI, and Advanced Analytics
โ Career development and continuous learning
If you're passionate about unlocking the value of data and shaping the future of AI-powered decision making, we'd love to hear from you.
Apply today and help build the next generation of intelligent solutions with LTM!
LTM is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, ethnicity, nationality, gender, gender-identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio-economic status, disability or any other characteristic protected by applicable law.
โถ๏ธ Watch the video: https://www.youtube.com/watch?v=5tTtIX92ipY
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- Posted
- Jul 03, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Sydney
- Company
- LTM
Industries
Categories
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