Data Scientist – Associate at KPMG

 The Nairobi office serves as the regional coordinating office providing the required networking to facilitate delivery of services on a timely basis to meet and exceed our clients’ expectations.

Key responsibilities

The data scientist’s role is to bring their expertise in advanced modelling techniques and mathematical methods; algorithm use and optimization; and data science technologies. The objective of the role is to understand the full spectrum of data feature retrieval, selection, and engineering; model technique selection and integration; interpretation of outputs; and development of recommendations. They will be required to identify commonalities across seemingly disparate analytics use cases, in order to identify unique ways of approaching modelling.

Qualifications and experience

• Deep knowledge/experience in statistics, data mining, machine learning, and/or natural language processing
• Experience with common data science toolkits, such as R, NumPy, MatLab, etc.
• A Bachelor’s degree in Statistics, Computer Science or other related fields
• A minimum of 2 years working experience 

Responsibilities

• Retrieve, prepare, and process a rich data variety of data sources such as social media, news, internal/external documents, emails, financial data, and operational data
• Analyse and model structured data and implement algorithms to support analysis using advanced statistical and mathematical methods from statistics, machine learning, data mining, econometrics, and operations research
• Perform Statistical Natural Language Processing to mine unstructured data, using methods such as document clustering, topic analysis, named entity recognition, document classification, and sentiment analysis
• Utilize a diverse array of technologies and tools as needed, to deliver insights, such as R, SAS, Python, Spark, Hadoop, QlikView, and Tableau
• Translate advanced business analytics problems into technical approaches that yield actionable recommendations, in diverse domains such as risk management, product development, marketing research, supply chain, and public policy; communicate results and educate others through insightful visualizations, reports and presentations
• Perform exploratory data analysis, generate and test working hypotheses, and uncover interesting trends and relationships.

Skills and attributes

The ideal candidate must;

• Have expert problem-solving ability through the use and/or development of algorithms, models, testing, etc.
• Be able to work with team members and clients to assess needs, provide assistance, and resolve problems, using excellent problemsolving skills, verbal/written communication, and the ability to explain technical concepts to business people
• Be a fast learner and analytical thinker.
• Have excellent business writing skills.
• Have experience working in a complex, fast moving environment.
• Be able to work effectively with minimal supervision.

We offer

• A fantastic opportunity to work in exciting professional services firm
• Continuous learning and development
• Exposure to multi-disciplinary client service teams
• Unrivaled space to grow and be innovative