Data Scientist - Experian Digital

Company Description

Experian utilizes the potential of data to create opportunities for consumers, businesses, and society. We collect, analyze, and process data in ways that others cannot. We enable individuals to take control of their finances and gain access to financial services, assist businesses in making smarter decisions and thriving, encourage lenders to lend more responsibly, and aid organizations in preventing identity fraud and crime. For over 125 years, we have been facilitating prosperity for consumers and clients, and fostering growth in economies and communities - and we are not finished yet. Our 17,800 employees in 45 countries believe that the possibilities for you, and our world, are expanding. We are investing in new technologies, talented individuals, and innovation to help shape a better tomorrow.

Job Description

We are seeking a Data Scientist for our Marketing Services division to help us gain insight from our vast amounts of data through predictive modeling and data analytics. This will allow us to make smarter decisions and deliver excellent products to our clients. Your main focus will be on building commercial data products: we need to convert raw data into information that can generate attributes and variables, which our clients can use to enhance their own analytics initiatives and make more informed decisions.

You will also support our business teams, pre-sales, and analytics to ensure optimal product creation.

Someone who has recently graduated or has 1-2 years’ experience as a Data Scientist would ideally suit this role. However, we may also consider an experienced data engineer or analyst who is prepared to take on a new challenge in a company that offers extensive opportunities for career advancement and development.

What you need to bring to the role & Experian

• You must be a problem solver who can take a question and use data to provide a clear and direct answer.
• You need to be self-motivated and constantly seeking knowledge.
• We want you to be excited by the prospect of working with large and diverse datasets.
• You will be given the opportunity to work with the latest technologies in Data Science like LLMs, NLPs, and generative AI, but we expect you to be proficient in simpler models.

Duties & Responsibilities

• Using quantitative methods to conduct exploratory data analysis (EDA) on Experian’s data sets using markdown tools such as Jupyter.
• Data quality is at the core of our work: You will need to maintain the highest standards for data and collaborate with our data engineers to implement solutions based on your findings.
• You will be required to perform the necessary data preparation as part of building your models, and then translate your markdown analyses into scripts that can be run in an automated fashion using tools such as Dagster, Airflow, MLFlow, etc. You will guide the data engineers on replicating your data preparation steps.
• You will present the results of your work either as markdown reports or visually through dashboards when required. We use both Tableau and PowerBI, but open source alternatives are welcome.
• You may be tasked with training our consulting team, clients, or even our global team on how a specific model or solution works.

Qualifications

More about you

• You need to have a firm grasp on fundamental concepts such as probabilistic distributions, regressions, decision trees, and gradient boosting models. You should also have experience with unsupervised modeling for clustering such as DBSCAN, k-means, GMM, HMM, and hierarchical clustering.
• Profound knowledge of SQL. Knowledge of DBT and Snowflake is a significant advantage.
• Deep knowledge of Python (both for markdown tools such as Jupyter and Python scripting). Knowledge of Dagster is an advantage.
• Ability to visualize data and tell stories, using either Tableau or PowerBI, or any other visualization framework.
• Basic understanding of containers (Docker) and AWS Cloud
• Basic understanding of Git
• Preferably, you are a graduate or have 1-2 years experience in roles such as Data Scientist, Data Analyst, or Data Engineer and have a qualification in either Economics, Mathematics (STEM), or Finance

Why this role is important to us

• Our business thrives on our ability to leverage data and advanced analytical capabilities to help numerous brands across A/NZ communicate with their consumers. Thus, you will have a crucial role in creating valuable data products that set them up for success. Our product development team is responsible for maintaining our core data assets in the region, so you will be involved in making crucial decisions that drive our business forward.

Additional Information

Information Security

The Confidentiality, Integrity, and Availability of Experian's data, as well as the data our clients have entrusted to us, is of critical importance. Security is a fundamental part of every position at Experian and will be considered in every aspect of your employment. It is your responsibility to maintain and support the security and to ensure the protection of our data and client information from unauthorized access, modification, or destruction.

It is your responsibility to be careful in maintaining the integrity, confidentiality, and availability of corporate information and protect it from unauthorized disclosure, modification, or destruction. You should never knowingly put Experian’s information or information processes at unnecessary risk.

We value your uniqueness.

Experian Asia Pacific's culture, employees, flexible policies, and workspace are unique. We take our staff and equal opportunity very seriously. We focus on what truly matters, including diversity, equality, and inclusion, work-life balance, career growth, authenticity, engagement, wellness, rewards and recognition, and volunteering. We are an award-winning organization due to our strong people-centered approach (Great Place to Work, Top Employer, and Employer of Choice).

Experian Asia Pacific employs advanced data science, inclusivity, and a start-up mentality to develop tomorrow's credit solutions. Our diverse workforce drives our success and innovation is an inherent part of our DNA. Everyone can succeed at Experian, regardless of their gender, ethnicity, color, sexuality, physical ability, or age. If you have a disability or special need that requires accommodation, please inform us as early as possible.

Experian ANZ is proud to be endorsed by WORK180. To view our complete list of employee benefits, please click here - .