Key Responsibilities and Qualifications We are seeking a highly motivated and skilled Data Science professional to work on high-profile consulting projects for leading companies in their markets. - Data Analysis and Statistical Processing: Process and analyze complex data sets using statistical techniques, machine learning algorithms, and data mining methods. - Artificial Intelligence and Machine Learning: Develop and implement AI and ML models to drive business insights and improve decision-making processes. - Predictive Modeling: Create predictive models using statistical and machine learning techniques to forecast future trends and outcomes. - Time-Series Modeling: Develop time-series models to analyze and predict temporal patterns in data. - Model Development and Validation: Develop, validate, and audit financial, risk, marketing, and business-oriented models to ensure accuracy and reliability. Required Skills and Qualifications To be successful in this role, you will need: - Recent graduates or final year students with a strong academic record. - Postgraduate studies and/or specialized courses in Data Science, Quantitative Finance, or similar fields. - Solid knowledge of modeling techniques, statistical programming languages (SAS, R, Python, Matlab), big data tools and platforms (Hadoop, Hive, etc.), and cloud platforms (AWS, Azure, GCP). - Strong analytical and problem-solving skills, with the ability to learn quickly and adapt to new situations. - Able to easily integrate into multidisciplinary teams and communicate effectively with stakeholders. Benefits We offer a dynamic and supportive work environment, with opportunities for professional growth and development. Our benefits include: - Ongoing training plan, with approximately 10% of business turnover spent on training. - 600 hours of training during the first two years. - Specialist courses, external expert sessions, professional skills, and language courses. - Last year, our staff received over 375,000 hours of training across more than 150 courses. Equal Opportunities Employer We promote equal opportunities and consider all qualified applicants regardless of race, color, religion, national origin, sex, gender identity, sexual orientation, age, marital status, disability, or other protected characteristics.