Support the project teams in applying emerging technologies to help our clients maximize the value of their data by generating actionable insights that provide real business outcomes.
Together with the consulting team, design and implement data structures to support Big Data, Analytical models and traditional BI/DW reporting solutions using technologies such as Microsoft SQL, Oracle, SAP, Cloudera, IBM Watsons, MuleSoft, Qlik Technologies or Informatica.
Provide support in designing and developing data integration using Data Governance, Data Quality, MDM and Metadata management.
Applying analytical models to predict business outcomes with tools such as DataRobot and languages like Python or R.
You will be part of a collaborative team that provides our clients with solutions that are practical as well as visionary and have an impact from the back office to the boardroom.
Support the project teams in recommending BI/DW/Analytics processes, governance, organisational and platform models, tool selections, and data integration options to clients.

Fresh graduates
In your final year of study or recent graduate between 0-2 years of work experience.
Strong academic degree / master in Computer Science, Data, Computer Engineering, Statistics, Mathematics, Engineering, or related disciplines.
Proficient in at least one programming language (Python, C, Java, etc.).
Good understanding in Artificial Intelligence and Machine Learning.
Understanding of SDLC Waterfall and Agile Development Methodologies is a plus.
Some knowledge of Intelligence Automation software e.g. Automation Anywhere, BluePrism, UiPath or WorkFusion or cloud platforms e.g. Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure is a plus.
An interest in data ingestion and transformation pipelines using Big Data technologies, including one or more of the following: Spark, Hive, Pig, Kafka, MapReduce, HBase, Sqoop, Flume or Storm.
General knowledge of Linux/Unix based operating systems and Shell scripting would be an advantage.
Demonstrates interest for all the latest technologies, libraries & languages.
Strong analytical skills, excellent oral and written communication skills in English, self-motivated, and able to work in stressful situations with changing priorities.
Drive, tenacity, entrepreneurship, client focused and results oriented.
Proven demonstration of sound business acumen & teamwork, confidence in public speaking and presentation preparation is appreciated.

Graduate Analyst – Artificial Intelligence, Data

Key skills