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Data Science

Going beyond simple analytics, data science uses advanced techniques to answer the hardest questions with your data.

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Increased ML model forecasting accuracy ​

What is data science? 

Going beyond simple analytics, data science uses advanced techniques to answer the hardest questions with your data. Whether your data is structured in rows and columns or unstructured in the form of text, images, videos or voice recordings, data science can automate everyday tasks and enable businesses to make data-driven decisions.

Data science is a service that can be applied across any industry or problem where data exists, and these days, data exists everywhere. Our data science team has the skills to work with you to identify key use cases and deliver valuable outcomes to unlock the true potential of your data. Data science can solve problems ranging from automating manual data entry to assisting astrophysicists to identify gravitational waves in space. The stars are literally the limit!

 

Here's what we do everyday, our bread-and-butter

Companies we've worked with

NIB
eliiza and Latitude together formed a team of Data Engineers, Data Analysts, Data Scientist and ML Engineers. The Latitude team picked up deep expertise in Machine Learning as a result of working closely with experts from eliiza. eliiza has enabled our capability to build and deploy Machine Learning models into production with end-to-end integration from source to activation of offers. It has been a pleasure working with eliiza!
Sandhya Iyer - Chief Data Officer (Acting), Latitude Financial Services

An overview of what we do

At eliiza, our team of data scientists bring together their experience across numerous industries and domains. We partner with you to deliver best in class data science. Our team can advise on strategies, use cases, tools, and techniques, and build robust scalable solutions alongside your in-house team. Our approach ensures our clients are empowered, informed and supported to harness data science solutions independently. The foundation of our capabilities lies in advanced analytics – using statistical techniques to predict outcomes or forecast future trends and we have particular expertise in Computer Vision and Natural Language Processing.

What we can help you with​​​​

It’s not always easy to know where to start with data science. The insights or information a business would like to harness from data may be challenging to obtain for several reasons. Maybe it’s disjointed data sources, poor data quality, lack of data or technical capability but whatever it is, eliiza’s data science team can work closely with your team to understand your business and identify how to get value from your data.

When designing data science solutions, we can guide you on the journey from beginning to end to ensure that the final solution harnesses best practices and will stand the test of time to add tangible value to your business.

Data strategy consulting

Starting with a conversation, we will talk about what your business is trying to achieve and we will work with a team of data consultants and data scientists to collaboratively identify a set of data science use cases.

With an understanding of what you want to achieve, our technical team will look under the hood and assess current data, tools and available technologies. We will identify gaps and development areas to create a pragmatic, detailed roadmap to set you up for success in the data science use cases that are required now and in future.

Machine learning Assessment Framework

We perform an end-to-end assessment of your existing data science capabilities, providing improvement suggestions in areas such as; data robustness, technical approach, model accuracy, stability & suitability, monitoring capability and model utilisation. We will also call out security and ethical considerations in your existing data science capabilities and advise on appropriate next steps.

Enabling Cloud Partner Solutions

We work closely with the major cloud providers, leveraging cloud platforms and products to create industry and function-specific insights and intelligence for businesses. Cloud providers can support a wide range of data science initiatives, from leveraging the intelligence of pre-trained models and APIs, to unique proprietary solutions. We harness the latest cloud solutions to accelerate your analytics time-to-market.

Working with our data scientists means

Tools and tech stack independence

We are framework and language agnostic. We regularly use all major deep learning libraries and open source ML tools, and are at home in both Python and R. We are comfortable working in the three major cloud environments, making sure that our solutions are delivered in a secure and repeatable manner.

Working with a multi-disciplined team

We combine our data science and machine learning expertise with best practice engineering. Data scientists work in parallel with strategic Data Consultants, Data and Machine Learning Engineers, and our Cloud Partners for a seamless and end-to-end AI solution development and production. If it’s your first ML model, we’ll advise on the best tools and tech stacks for your business, and provide you with the framework to take your data science capabilities forward and scale.

Tapping into a team with cloud domain experts on hand

While eliiza is platform and tool agnostic, we have sister companies at Mantel Group who specialise in each of the main cloud technologies and we hold partnership accreditations with leading cloud providers.

Ethical peace of mind

We make sure our solution is ethical and unbiased and we’re not afraid to challenge if we see a better way. While we are supporting your business to harness AI capabilities with deep learning or machine learning models, we will keep you informed with risk and ethical considerations as well as model interpretation.

Breadth of data science experience and capability

Our team of data scientists bring a wealth of different academic and commercial industry experience to the table. We are passionate about doing right by our clients and bringing best in class data science capabilities to your business. Diversity of experience in the team enables us to be resourceful, innovative, and willing to go the extra mile to translate technical concepts and identify opportunities to add business value for our clients. While you may be working closely with one of our data scientists, you can rest assured that you are benefitting from the experience of the entire team.

What we are good at

While we have broad expertise in advanced analytics and statistical modelling, we pride ourselves on specialising in some key areas of data science: Natural Language Processing, Computer Vision, Anomaly Detection, Forecasting and People-Centric Modelling.

Natural Language Processing (NLP)

We work with natural language in various forms – speech, written content and images or videos of text which we extract using Optical Character Recognition (OCR).  We combine established and current techniques to provide customer insights and productivity uplift with:

  • Conversational AI
  • Chatbots
  • Topic modelling
  • Sentiment Analysis
  • Complaints Detection
  • Customer intents
  • Predictive search

 

Video & Image Analytics (Computer Vision)

We build bespoke video/image data based solutions able to deliver your required insights in real-time:

  • Object classification
  • Behaviour detection
  • Object/facial recognition
  • Optical character recognition (OCR)
  • Visual search
  • Implementing & bespoke training off-the-shelf tools

Anomaly Detection

We can support you to detect rare or abnormal events. The ability to identify unusual patterns or events that do not conform to the “everyday” has applications in many industries, such as:

  • Banking & finance: fraud detection in transactions
  • Manufacturing: fault detection or predictive machine maintenance
  • Cybersecurity: intrusion detection
  • Healthcare: spotting potential risk or medical problems
  • Internet: detecting poor user experience
  • Transport: monitoring sensor readings from a vehicle for unusual behaviour
  • Telecommunications: service outage detection

Forecasting

Forecasting enables businesses to understand their future state ahead of time, allowing faster and smarter decision making. We can provide forecast modelling to uncover hidden insights and forecast business metrics, examples include:

  • Demand forecasting
  • Revenue forecasting
  • Dynamic pricing
  • Predictive maintenance
  • Customer behaviour
  • Stock optimisation
  • Resource optimisation
  • Predictive maintenance

People centric modelling

People centric modelling puts the customer first and enables you to better understand your customers and how to interact with them via: :
  • Recommendation engines
  • Predicting customers likely to churn
  • Informing up-sell and cross-sell marketing decisions with predictions
  • Predicting servicing required by customers
  • Marketing mix modelling and campaign attribution
  • Improving customer experience by inferring issues
  • Predicting when a customers’ interaction is a complaint
  • Structured experimentation to understand how to interact with your customers
eliiza became part of our R&D team providing both guidance and hands-on engineering, fitting in with our way of working and providing expertise on AI and ML to accelerate our product development and upskill our team in the process. I would highly recommend talking with Eliiza if you have an AI/ML project that will be using cloud services.
Neil Dando - CTO, Mobile Tracking and Data Pty Ltd

Meet the Data Science team

Kathryn Collier

Kathryn Collier

  • Icon Person Head of Data Science
  • Icon location Melbourne

Kathryn Collier

Head of Data Science

Strength and interest lies in working with clients to explore the value data science can bring to their business in an impactful, practical and scalable way. Outside of work, Kat enjoys getting outdoors and exploring the countryside in Victoria.
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Vivian Mai

  • Icon Person Data Scientist
  • Icon location Melbourne

Vivian Mai

Data Scientist

Versatile data scientist with a background in business. Vivian is passionate and experienced in helping businesses to identify problems, metrics that matter and build robust and relevant solutions that are data driven. She loves good times with friends, travel places and trying out local cuisine, curiously.
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Sahil Bahl

  • Icon Person Senior Data Scientist
  • Icon location Auckland, New Zealand

Sahil Bahl

Senior Data Scientist

Experienced data scientist passionate about solving real world business problems harnessing data. Skilled in data exploration and analysis, data visualisation, data modelling, machine learning and model operationalisation. Sahil is an avid traveller and loves the outdoors especially the beach.
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Alex Essebier

  • Icon Person Senior Data Scientist
  • Icon location Brisbane

Alex Essebier

Senior Data Scientist

Experience in natural language processing, conversational AI and solving business problems with a focus on driving decision making. She enjoys gluten free baking and collecting succulents.
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Katinka

Katinka Gereb

  • Icon Person Lead Data Scientist
  • Icon location Melbourne

Katinka Gereb

Lead Data Scientist

Katinka is passionate about translating complex data problems into simple solutions, and helping clients realise their strategic goals using AI. Outside of work she likes exploring the outdoors with her dogs, travelling the world, and scouting Melbourne’s restaurant scene.
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