Cyber Security – Data Scientist Internship

The Adili Group (Adili) is a leading pan-African corporate advisory firm with two (2) key offerings:

1. Adili Advisory—provides the highest-quality corporate, risk advisory, crisis and PR management and outsourcing services.
2. Adili Private Clients—provides fiduciary and executor services to high-net-worth individuals.

With over 150 years of combined experience, we deliver tailored solutions in regulation and compliance, risk management, outsourcing services and improving business efficiency. We aim to support businesses in navigating the complexities of the corporate world.

We have an extensive regional footprint with offices in Kenya, Tanzania, and Uganda, from where we coordinate our activities throughout the broader African market.

We have close links to East Africa’s largest independent law firm, ALN Kenya | Anjarwalla & Khanna (ALN Kenya), and ALN, an alliance of top-tier corporate law firms in 14 African countries and the UAE. This relationship lets our clients access the best commercial and legal minds. It also gives us the excellent capability to serve clients across diverse borders.

We are looking for a talented Data Scientist who is passionate about turning data into actionable insights and predictions. This role requires expertise in data visualization using Power BI and the ability to apply predictive modeling techniques to solve real-world business challenges. You will collaborate closely with cross-functional teams to drive data-driven decision-making and strategic growth.

Responsibilities

• Analyze and visualize data using Power BI to deliver actionable insights through dynamic dashboards and reports.
• Design, develop, and implement predictive models to forecast trends and outcomes using statistical and machine learning techniques.
• Collaborate with stakeholders to understand business objectives and translate them into data-driven solutions.
• Perform exploratory data analysis (EDA) to uncover hidden trends, patterns, and opportunities.
• Validate and optimize predictive models for accuracy, robustness, and scalability.
• Present findings, insights, and recommendations clearly to technical and non-technical audiences.
• Stay updated on the latest tools, trends, and methodologies in analytics and data science.

Technical Skills and Qualifications

• Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Strong expertise in Power BI for building interactive dashboards and reports.
• Proven experience in predictive modeling, including regression, classification, and clustering.
• Proficiency in Python, R, or similar programming languages for data analysis and modeling.
• Familiarity with machine learning frameworks.
• Strong SQL skills for querying and managing large datasets.
• Experience with cloud platforms (e.g., Azure, AWS, GCP)
• Understanding of statistical analysis, data wrangling, and feature engineering.

Personal Qualities

• Strong critical thinking and ability to solve complex problems.
• Excellent communication skills to convey technical concepts to non-technical stakeholders.
• Collaborative mindset with the ability to work effectively in cross-functional teams.
• Proactive attitude towards learning and adopting new technologies.
• Detail-oriented with a strong focus on accuracy and data integrity.