Job description:
If your skills, experience, and qualifications match those in this job overview, do not delay your application.
* Collect business requirements and analyse advanced AI solutions or identify and assess relevant existing data mining, machine learning and business intelligence solutions.
* Develop detailed application mock-ups using design tools, ensuring alignment with business objectives and user needs.
* Analyse large datasets to uncover actionable insights.
* Ensure strict compliance with GDPR and emerging AI regulations in all stages of data processing.
* Facilitate effective communication and collaboration between business stakeholders, data scientists, and IT developers.
* Conduct user acceptance testing to meet business requirements.
* Specification and design of presentation interfaces with optimal usability/user experience.
* Produce data models according to specific problems statements.
* Contribute to the design and implementation of the analytics architecture and its solution stack (including performance aspects, physical design, capacity dimensions etc....).
* Write the different documentation associated with the tasks and liaise with other project teams as necessary to address cross-project interdependencies.
* Interact with data stewards and other IT stakeholders to define the data rules.
* Define data controls and implement actions to ensure data quality and integrity.
* Create automated anomaly detection systems and constant tracking of its performance.
* Data mining using state-of-the-art methods.
* Processing, cleansing, and verifying the integrity of data used for analysis.
* Participates in the design of the IT architecture for solutions in the NLP / ML / AI fields and coordinates its implementation considering master- and meta-data management concepts.
* Analyse data architecture for consistency, completeness, accuracy and reasonableness.
* Contributing for the analysis of data management vision, strategy and policy and derive the IT requirements.
* Analysis of Business requirements.
* Documentation of Business requirements.
* Business model analysis.
* Business process analysis.
* Business processes modelling.
* Functional requirements and business cases analysis.
* Risk analysis.
* Assistance in Business cases, Vision documents, Project Charters and Security Plans.
LEVEL OF EDUCATION: Bachelor or Master Degree
KNOWLEDGE AND SKILLS:
• Good knowledge of natural language processing systems lifecycle and agile software development methodologies.
• Experience with data analytics over big datasets, non-structured databases as well as data lakes.
• Good knowledge of information systems matters.
• Good knowledge of large organisation administrative business processes.
• Good knowledge of analysis/modelling tools and techniques (use case diagram, state diagram, entity relationship model, interaction diagrams etc.).
• Good knowledge of BPMN or UML or other with equivalent value.
• Good knowledge of Wiki and collaborative sites.
• Knowledge of software development methodologies (e.g., RUP, Agile).
• Excellent knowledge of Data Analytics techniques and tools.
• Experience in Machine Learning and Natural Language Processing.
• Experience with languages like R, Python, PERL.
• Good knowledge of SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL)
• Knowledge of architectural design and implementation of scalable modern data stores.
• Rapid self-starting capability.
• Strong capacity in preparing and writing business analysis.
• Capability to speak to business and technical audiences.
• Strong capacity to give high-level presentations.
• Excellent critical thinker, by using logic and reasoning to identify strengths and weaknesses of alternative solutions.
• Excellent communication and interpersonal skills to collaborate with cross-functional teams, conduct training sessions, and promote data governance best practices.
SPECIFIC EXPERTISE:
• Excellent knowledge of machine learning techniques and algorithms, and Large Language Models.
• Knowledge in one of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), sentiment analysis, topic detection, social media crawling and processing, plagiarism detection, trends/anomalies detection in datasets, recommendation systems.
• Knowledge of Graph Databases. xphnsxz
• Knowledge of application UI/UX design.