PwC
Internal Firm Services
ExperiencedAssociate-DataEngineercumScientist
Neural analysis suggests this role is
optimal for Associate candidates.
“Experienced Associate - Data Engineer cum Scientist at PwC. Skills: Data Engineering, Data Science, Machine Learning, Cloud Platforms, Data Pipelines, ETL/ELT, Data Architecture, Statistical Techniques, Predictive Models, Data Visualization. Design, develop, and maintain scalable data pipelines and ETL/ELT workflows to ingest, process, and transform structured and unstructured data from multiple sources.. Build and optimize data architectures leveraging cloud platforms such as AWS, Azure, or GCP”
What You'll Achieve.
leverage data to drive insights and make informed business decisions.; help clients optimise their operations and achieve their strategic goals.; provide strategic insights and drive informed decision-making for clients.; develop and implement innovative solutions to optimise business performance and enhance competitive advantage.; deliver scalable, data-driven solutions that address complex business challenges.; extract actionable insights supporting business decision-making.; enhance efficiency.
Industry & Context.
address complex business challenges.
What They're Looking For.
Must Have
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or related fields., Minimum 2 years of professional experience across data engineering, data science, or combined analytics roles., programming skills in Python, SQL, experience with data engineering tools and frameworks (e. g. , Apache Hadoop, Spark, Kafka, Airflow), Proficiency with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch., Experience with cloud platforms (AWS, Azure, GCP) and their data ecosystem (e. g. , Redshift, Synapse, BigQuery)., Solid understanding of data warehousing, data modeling, and ETL best practices., foundation in statistics, data mining, and algorithm development., Ability to work collaboratively in dynamic, hybrid team environments., Excellent communication skills, capable of translating complex analyses into business insights.
What You'll Do.
and maintain scalable data pipelines and ETL/ELT workflows to ingest
and transform structured and unstructured data from multiple sources.
Build and optimize data architectures leveraging cloud platforms such as AWS
or GCP to support analytics and machine learning workloads.
Perform exploratory data analysis and apply statistical techniques to extract actionable insights supporting business decision-making.
and deploy machine learning and predictive models to solve various client business problems.
Monitor model performance in production and implement continuous improvement processes.
Automate routine data management and analytical tasks to enhance efficiency.
Create dashboards and data visualization reports to communicate findings to technical and non-technical stakeholders effectively.
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams to identify data requirements, ensure data quality, and implement data governance standards.; Ability to work collaboratively in dynamic, hybrid team environments.; Work closely with business stakeholders, data scientists, and engineers to deliver scalable, data-driven solutions that address complex business challenges.
Communication Scope
Excellent communication skills, capable of translating complex analyses into business insights.
Full Job Description
**Line of Service** Internal Firm Services **Industry/Sector** Not Applicable **Specialism** IFS - Information Technology (IT) **Management Level** Associate **Job Description & Summary** At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. PwC Malaysia is seeking a versatile Data Scientist & Data Engineer to join our team. This hybrid role involves designing and maintaining robust data infrastructure while also developing advanced analytical and machine learning models. You will work closely with business stakeholders, data scientists, and engineers to deliver scalable, data-driven solutions that address complex business challenges. Key Responsibilities: * Design, develop, and maintain scalable data pipelines and ETL/ELT workflows to ingest, process, and transform structured and unstructured data from multiple sources. * Build and optimize data architectures leveraging cloud platforms such as AWS, Azure, or GCP to support analytics and machine learning workloads. * Collaborate with cross-functional teams to identify data requirements, ensure data quality, and implement data governance standards. * Perform exploratory data analysis and apply statistical techniques to extract actionable insights supporting business decision-making. * Develop, validate, and deploy machine learning and predictive models to solve various client business problems. * Monitor model performance in production and implement continuous improvement processes. * Automate routine data management and analytical tasks to enhance efficiency
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