Dat Scientist - Associate at KPMG

Date Posted: March 5, 2021, 7:19 a.m.

Job Description

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

 

How To Apply

None

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