Data Scientist
Vor 2 Tagen
Location: Sydney
Job Type: Contract
Are you a skilled Data Scientist with a passion for transforming complex data into actionable insights?
Do you have expertise in machine learning, predictive analytics, generative AI, and data visualisation tools?
Join our dynamic team at INGRITY, where your analytical abilities will play a vital role in driving success for our esteemed clients in the banking and insurance sector.
About INGRITY:
The Company INGRITY is a Microsoft data and AI solution partner, working closely with Microsoft to create value for our customers.
We collaborate with some of the best ASX-listed companies and many medium-sized businesses, delivering transformative data and AI-driven solutions.
Our success is built on innovation, customer advocacy, and our strategic partnership with Microsoft.
At INGRITY: Imagine the Impossible: It's not just an aspiration for our clients; we expect the same from our team.
INGRITY isn't your typical workplace; we thrive on the fusion of Intelligence & Grit.
Prioritising personal growth, open communication, continuous learning, career progression, and accountability, we're on the lookout for individuals like you.
Do you seek roles fostering personal growth, allowing you to excel?Do you flourish in a culture that values open communication and diverse perspectives?Are you passionate about expanding your skills, eager to join a company that invests in employee development?Are integrity and accountability at the core of your values?If you answered yes to any of these questions, we invite you to explore opportunities with us and join a team committed to data smart excellence.
Job Summary:
We are seeking a talented and analytical Data Scientist to join our team.
You will play a critical role in analysing complex datasets, building predictive models, and driving data-driven decisions across the organisation.
This position also offers the opportunity to explore and apply generative AI techniques to drive creativity and efficiency in our workflows.
Key Responsibilities: Collect, clean, and preprocess structured and unstructured data from various sources.Develop predictive models, machine learning algorithms, and data visualisations to provide actionable insights.Explore and implement generative AI models for tasks such as synthetic data generation and process automation.Collaborate with cross-functional teams to identify business challenges and recommend data-driven and AI-powered solutions.Build and deploy scalable data pipelines and maintain model performance in production.Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.Communicate findings and recommendations to both technical and non-technical stakeholders through reports, dashboards, and presentations.Requirements: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.Proven experience as a Data Scientist or in a similar role, with a strong portfolio of relevant projects.Proficiency in programming languages such as Python or R.Experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks.Familiarity with generative AI models and techniques, or a keen interest in learning and applying them.Knowledge of database technologies and query languages (e.g., SQL, NoSQL).Familiarity with data visualisation tools (e.g., Tableau, Power BI, Matplotlib).Strong problem-solving and analytical skills, with attention to detail.Excellent communication skills and ability to translate technical insights into business outcomes.Experience working with big data technologies.Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.Exposure to Natural Language Processing (NLP), and generative AI applications.This is a fantastic opportunity to elevate your career while making a meaningful impact within our organization and for our clients.
Join our dynamic team and take part in exciting projects—apply today
Note: This position is based in Australia.The candidate must have full working rights in Australia to be eligible for this role.Shortlisted candidates will be contacted for further interviews. #J-18808-Ljbffr
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