KPMG Professional Services and KPMG Advisory Services are the KPMG member firm in Nigeria. The partners and people have been operating in Nigeria since 1978, providing multidisciplinary professional services to both local and international organisations within the Nigerian business community.
As one of the leading providers of professional services, KPMG knows that the success and growth of the firm also depends on the success and growth of the Nigerian economy. Hence, it champions progressive change and makes the future happen for its clients, people and the community, thereby enabling Nigeria’s success.
We are recruiting to fill the position below:
Job Title: Corporate Communications Lead
Ref. ID: 138722BR
Location: Lagos
Engagement Type: Graduate Hire
Region: EMA
Roles and Responsibilities
- Primary responsibility is to manage, develop, coordinate, maintain and disseminate the Firm’s Knowledge Management processes and resources. Primary focus is to update content that will aid in business development and knowledge on all market indicators.
- Communication strategist for KPMG’s Executive Office leaders both internally and externally.
- Coordinate the Firm’s external branding and corporate communication activities
- Ensure effective communications of key corporate messages within the organization at various locations – advertising and image building, change and corporate culture, communication policy, building a communication culture.
- Content and strategy manager for the KPMG Social Media platforms; § coordinator and correspondence manager for the various units and practices.
- Developing, managing, maintaining and measuring/reporting on selected engagement platforms and channels in line with the function’s mandate.
- Developing and executing strategic communication plans, policies and guidelines relating to issue, risk and crises management, and measurement thereof including liaison with Global counterparts.
- Assist division knowledge managers to develop knowledge management strategies and process suited to their needs, ensuring adherence to brand central and Brand regulatory compliance in capturing and submitting high quality and value content to the micro web.
- Assist practitioners in navigating knowledge bases and creating content documents according to standards. Edit commentary/interpretations of content experts and internal submissions.
- Gaining and maintaining familiarity with KPMG key contacts and communication lines
- Implementation of Marketing Plans for and Events for KPMG Nigeria
- Assist with monitoring documents submitted to the micro web for compliance with brand and image regulatory policies, procedures and practices, and ensure that high quality standards and taxonomy are enforced.
- Assist in training staff in knowledge management competency by adapting training materials provided by Knowledge Management Support
- Work in partnership with other units to evolve the Lagos internal intranet/ extranet as a valued and much used channel for knowledge and sharing information.
Monitor and maintain subscription to the following:
- UNDB Online
- Fortune Magazine, Economist, Time, Newsweek, Harvard Business Review
- Business Directories
- The Banker
Qualification and Skills
- First degree in Social Sciences or Arts or its equivalent
- 7-9 years in related field
Functional/Technical Skills:
- Organizational and coordination ability
- Web management and development skills (html, css and JavaScript)
- Social Media Measurement and analysis tools; Google certified etc
- Technology appreciation, including a working understanding of Microsoft Office Share Point Server
- Good Computer skills, Searching the internet
- Behavioral Skills
- Good interpersonal skills and ability to work in diverse teams
- Strong relationship building and networking skills
- Performance Measures/Feedback
- Timeliness of deliverables related to research
How to Apply
Interested and qualified candidates should:
Click here to apply online
Job Title: Data Scientist in Advisory
Ref. ID: 138711BR
Location: Lagos
Engagement Type: Graduate Hire
Responsibilities
- KPMG’s Data & Analytics professionals have earned that trust with a business-first approach focused on solving complex C-level business imperatives with analytics. We help clients address their long-term, strategic objectives. We combine our heritage of deep industry and process knowledge with innovative capabilities and proven solutions to help clients make better, faster decisions in all areas of their business to accelerate results.
- Analyze and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses
- Build recommendation engines, spam classifiers, sentiment analyzers and classifiers for unstructured and semi-structured data
- Develop churn management, Customer Analytics, Predictive Analytics, Next Best Offer and other recommendation machine learning models and algorithms
- Perform explanatory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns
- Oversee the deployment of machine learning, natural language, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods
- Design and implement cognitive computing/AI applications using some combination of the following commercial and open source platforms and libraries including Microsoft AI, Google AI, AWS AI, IBM Watson, Tensor flow, etc.
- Participate in client engagements focused on big data and advanced business analytics, in diverse domains such as product development, marketing research, public policy, optimization, and risk management; communicate results and educate others through reports and presentations. Candidate should be open to working across industry groups including financial services, consumer markets, energy and natural resources, telecoms and public sector
- Supervise and build capacity of junior members of the Data & Analytics team
Capabilities:
- Strong knowledge in the following fields: predictive analytics and machine learning, natural language processing (NLP), Artificial intelligence (AI), data visualization, statistical modeling and data mining
- Problem solving ability through the use and/or development of algorithms, models, testing, etc.
- Strong understanding and ability to deploy supervised and unsupervised learning techniques including decision trees, ensemble methods, random forests, logistic regression, neural networks, SVM, Unsupervised learning & clustering, K-‘means, etc.
- Strong knowledge and ability to leverage big data tools to cluster large amount of data and process data in distributed, large-scale environments. Familiarity with distributed data processing environments such as Amazon EC2, Storm, Hadoop and Spark will be an added advantage
- Fluency in Python, R, Java, C++ or similar object oriented programming language
- Proficiency and working experience with at least, one statistical modelling tool (such as SAS, Alteryx etc.)
- Strong data cleaning and transformation skills to ensure available data is suitable for modelling
- Strong communication skills – ability to explain technical concepts to the non-technical professionals/ client personnel
Experience and Qualifications
- A minimum of five years of professional experience working as a Data Scientist in a practical problem-oriented business area
- Strong experience in analytics, statistics, data mining, machine learning, natural language processing and/or mathematics
- Master’s degree or doctorate degree in Business Analytics, Computer Science, Statistics, Mathematics, Engineering or related fields
- Minimum of second class upper in your first degree
- Must be between 28 – 35 years old.
How to Apply
Interested and qualified candidates should:
Click here to apply online
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