**Location**
Riyadh
• *SAMA - AI & Data - Data Science Manager**
• *Working for Deloitte**
When you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. Looking for a rewarding career? Take a closer look at Deloitte & Touche ME. You'll understand that Deloitte is a global leader in Data and Analytics amongst service providers (according to Gartner). It has received numerous awards in the last few years which include Best Employer in the Middle East, best consulting firm, and the Middle East Training & Development Excellence Award by the Institute of Chartered Accountants in England and Wales (ICAEW).
A career in consulting with Deloitte & Touche Middle East will engage your skills as a strategist, giving you a key role in the planning, growth and structure of businesses. However, we are not simply looking for people who know how to think, but who can display a deep understanding of business and industry and who can work collectively as a team to translate this understanding into deliverable solutions. For this reason, consulting at Deloitte requires specialist skills that embrace areas such as strategy, operations, financials, people management and technology. If you like a challenge and the opportunity to make a positive difference in the business world, we will provide you with a professional environment geared to your growth and helping you achieve excellence in this field.
• *Our Purpose**
Deloitte makes an impact that matters. Every day we challenge ourselves to do what matters most—for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges and unlocking sustainable growth. We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations and supporting our communities.
Our shared values guide the way we behave to make a positive, enduring impact:
- Integrity
- Outstanding value to markets and clients
- Commitment to each other
- Strength from cultural diversity
• *Technical Capabilities**:
- Proficiency in programming languages such as SAS, Python, R, or Scala for data manipulation, analysis, and model development.
- Extensive knowledge of statistical analysis and mathematical modeling techniques.
- Hands-on experience with machine learning frameworks and libraries, such as TensorFlow, scikit-learn, or PyTorch.
- Strong SQL skills for data querying and database management.
- Understanding on NLP, NLG and GenAI techniques.
- Familiarity with big data processing tools like Hadoop, Spark, or Apache Flink.
- Ability to work with cloud platforms like AWS, Azure, or Google Cloud for data storage and processing.
- Experience in using deployment techniques such as cron jobs, docker and Kubernetes.
- Hands-on experience in advanced data analysis techniques to extract insights, identify trends, and solve complex business problems.
- Develop and implement statistical models, machine learning algorithms, and data mining techniques to discover patterns and opportunities in large datasets.
- Clean, preprocess, and manipulate raw data to ensure data integrity and accuracy.
- Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
- Conduct exploratory data analysis and visualization to communicate findings and recommendations effectively.
- Stay up-to-date with the latest advancements in data science and technology to continuously improve analytical methodologies and tools.
• *Functional Capabilities**:
- Produce a high-quality work product and collaborate with others to deliver a superior client experience.
- Understand how business functions operate and how sector trends impact a client’s business
- Identifies opportunities to improve the efficiency and effectiveness of key processes within a business function.
- Experience with data visualization tools like Tableau, Power BI, or matplotlib to create intuitive and actionable visualizations.
- Proficiency in data storytelling, presenting complex analysis results to non-technical stakeholders in a clear and understandable manner.
- Knowledge of data governance and ethics, ensuring compliance with data protection and privacy regulations.
- Strong domain knowledge in the relevant industry (e.g., banking, finance, e-commerce, retail etc) is a plus.
• *Leadership Capabilities**:
- Identifies and embraces our purpose and values and puts these into practice in their professional life
- Develops self by actively seeking opportunities for growth, shares knowledge and experiences with others, and acts as a strong brand ambassador
- Seeks opportunities to challenge self; teams with others across businesses and borders to deliver and takes accounta
