Data Scientist

• Analyse large datasets using tools such as Python, R, SQL, and Hadoop to extract meaningful insights and inform business strategies.
• Develop and implement machine learning models leveraging frameworks like TensorFlow and Spark to solve complex problems.
• Design and optimise database architectures to support scalable data storage solutions.
• Utilise AWS cloud services for data processing, storage, and deployment of machine learning models.
• Conduct natural language processing (NLP) tasks for text analysis and sentiment detection.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Perform data mining activities to identify trends, patterns, and anomalies within diverse datasets.
• Write efficient scripts in Bash (Unix shell), Java, C, or VBA for automation and integration purposes.
• Stay abreast of emerging trends in AI, big data, and related fields to continuously enhance analytical capabilities.

Do you have experience in VBA?, We are seeking a highly skilled and innovative Data Scientist to join our dynamic team. The ideal candidate will possess a strong background in data analysis, machine learning, and big data technologies, with the ability to develop advanced models that drive strategic decision-making. This role offers an exciting opportunity to work on cutting-edge projects involving artificial intelligence, natural language processing, and data mining within a collaborative environment committed to technological excellence., * Proven experience in data science or related roles with a strong portfolio of projects demonstrating expertise in machine learning and AI applications.

• Proficiency in programming languages such as Python, R, Java, C, and VBA.
• Extensive knowledge of big data tools including Hadoop, Spark, and SQL databases.
• Hands-on experience with AWS cloud services for scalable data solutions.
• Familiarity with TensorFlow for deep learning model development.
• Strong understanding of database design principles and data architecture optimisation.
• Experience with natural language processing (NLP) techniques and tools like SAS or similar platforms is desirable.
• Ability to interpret complex datasets using advanced statistical methods and data mining techniques.
• Excellent problem-solving skills with the capacity to work independently or collaboratively within a team environment. This position offers an engaging environment where innovation meets practical application, providing opportunities for professional growth in a rapidly evolving field of technology.