Engineer – Digital Integration

• Analyse large sets of structured and unstructured data to identify trends and patterns.
• Develop predictive models and machine-learning algorithms to solve business problems.
• Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.
• Conduct data preprocessing, feature engineering, and model evaluation.
• Communicate findings and insights to stakeholders through data visualization and reports.
• Stay updated with the latest advancements in data science and machine learning. 

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• 2+ years of experience in data science or related roles.
• Proficiency in programming languages such as Python or R.
• Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch).
• Strong knowledge of statistical methods and data analysis techniques.
• Experience with data visualisation tools (Tableau, Power BI).
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Wood is a global leader in consulting and engineering, helping to unlock solutions to critical challenges in energy and materials markets. We provide consulting, projects and operations solutions in 60 countries, employing around 35,000 people. www.woodplc.com
Diversity Statement  We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.