Background

The UN Secretary-General has set an imperative to ensure that the UN System emphasizes collaboration, efficiency and results as enablers for the 2030 Agenda for Sustainable Development. The envisaged UN reforms will mean new ways of doings business for human resources (HR). 

The United Nations Global Centre for Human Resources Services (OneHR) is the first initiative of its kind and forms a significant part of the UN’s corporate effort to continuously offer improvements across the HR discipline, by offering consolidated services, greater transparency and incubating innovative solutions. OneHR serves as a common United Nations shared service center, co-located with the UNDP United Nations Volunteers (UNV) on behalf of other participating UN agencies namely UN Secretariat, UNWRA, UNFPA, UNHCHR, WHO and UNESCO. OneHR operates through a virtual network of HR professionals across the globe with an administrative anchor in Bonn, Germany. 

OneHR offers solutions to better support talent acquisition, staffing and organizational design in the UN System. The Center will initially offer two specific HR services, namely job classification and reference checking. This facility is anticipated to grow organically, beginning with two common services lines that are designed to demonstrate the benefits of an integrated operations platform, and the organizational flexibility needed to support diverse institutional mandates and business imperatives across the Organization. 

The goal is to foster a global, adaptable HR ecosystem that is responsive and flexible, ensuring a culture of quality, standardization, and innovation through a shared service delivery and knowledge management platform. By investing in modernizing HR service delivery at the intersection of IT and HR, OneHR can enable automated work processes, workforce data management and analytics, client-centered service requesting and tracking. This specialized IT infrastructure will enable the Global Centre to develop a robust client relationship management solution as well as a knowledge sharing/data management system, is essential for the Global Centre to realize its value proposition. The initial planning and design for the IT Platform assumes a fully integrated CRM and knowledge/document repository. 

The Developer is part of the inter-agency team and is actively contributing to harmonizing the UN System through a new generation of HR Solutions.

Duties and Responsibilities

• Knowledge of Data Science, Big Data, Business Analytics, Predictive Analytics, NLP, Machine Learning and Cognitive Computing. Business Intelligence using Cognos BI, Big Data Analytics
• Knowledge of programming languages Like R, Python, Tableau, MySQL
• Analytical skills
• Developing & maintaining robust, customized applications
• Client Communication 
• Maintaining client relationship 
• Requirement gathering & analysis 
• Strong in Mathematics and Statistics
• Developing new applications within an agile environment

Expected Outputs and Deliverables:

• Helping in requirement gathering and project kick off activities. 
• Using of data from social sites for reference verification purposes.
• Tapping the digital footprints of prospective employees on various social media sites and match them with the information provided by the candidate.
• Developing reports for discrepancies and generating further analysis for additional information like skills, endorsements and interests.
• Storing the data mined from the sites for future use and for building a repository.
• Building a comprehensive report for an applicant profile which gives a holistic picture of his social media footprints.

Competencies

Innovation:

• Ability to make new and useful ideas work-( Level 4: Originate (Peer Regarded Lead Expert)

Leadership:

• Ability to persuade others to follow- (Level 4: Originate (Peer Regarded Lead Expert)

People Management:

• Ability to improve performance and satisfaction( Level 4: Originate (Peer Regarded Lead Expert)

Communication:

• Level 4: Originate (Peer Regarded Lead Expert)

Delivery:

• Ability to get things done (Level 4: Originate (Peer Regarded Lead Expert) 
• Professionalism and Integrity;
• Promotes knowledge sharing and learning;
• Display cultural, gender, religion nationality and age sensitivity and adaptability;
• Build strong relationships with clients, focuses on impact and result for the client and responds positively to feedback;
• Demonstrate good oral and written skills;
• Demonstrate openness to change and ability to manage complexities;
• Ability to work with national counterparts in building individual and institutional capacity 
• Good problem-solving skills; ability to apply good judgment in the context of assignments given; ability to plan own work and meet tight deadlines; attention to detail;

Required Skills and Experience

Academic Qualifications:

• Master’s degree in Data Science, Business Analytics or related field is required. 

Years of Experience:

• Minimum of 5 years of functionally-related professional experience preferably related to data science, big data, business analytics or business intelligence is required;
• Excellent administrative and computer skills, including MS office required;
• Knowledge of programming languages required;
• Experience of client relations an asset; and
• Familiarity with the digital footprint/social media environment an asset.

Language:

• Fluency in written and spoken English is required; 

Application Procedure:

The application package containing the following (to be uploaded as one file):

• Online application with brief description of why the Offer considers her/himself the most suitable for the assignment; and
• Personal P11, indicating all past experience from similar projects and specifying the relevant assignment period (from/to), as well as the email and telephone contacts of at least three (3) professional references.

Note: The above documents need to be scanned in one file and uploaded to the online application as one document.

Shortlisted candidates (ONLY) will be requested to submit a Financial Proposal.

• The financial proposal should specify an all-inclusive daily fee (based on a 7-hours working day - lunch time is not included - and estimated 21.75 days per month).
• The financial proposal must be all-inclusive and take into account various expenses that will be incurred during the contract, including: the daily professional fee; cost of travel from the home base to the duty station and vice versa, where required; living allowances at the duty station; communications, utilities and consumables; life, health and any other insurance; risks and inconveniences related to work under hardship and hazardous conditions (e.g., personal security needs, etc.), when applicable; and any other relevant expenses related to the performance of services under the contract.
• In the case of unforeseeable travel requested by UNDP, payment of travel costs including tickets, lodging and terminal expenses should be agreed upon, between UNDP and Individual Consultant, prior to travel and will be reimbursed. In general, UNDP should not accept travel costs exceeding those of an economy class ticket. Should the IC wish to travel on a higher class he/she should do so using their own resources.
• If the Offeror is employed by an organization/company/institution, and he/she expects his/her employer to charge a management fee in the process of releasing him/her to UNDP under a Reimbursable Loan Agreement (RLA), the Offeror must indicate at this point, and ensure that all such costs are duly incorporated in the financial proposal submitted to UNDP.

• The Financial Proposal is to be emailed as per the instruction in the separate email that will be sent to shortlisted candidates.

Evaluation Process:

Applicants are reviewed based on Required Skills and Experience stated above and based on the technical evaluation criteria outlined below.  Applicants will be evaluated based on cumulative scoring.  When using this weighted scoring method, the award of the contract will be made to the individual consultant whose offer has been evaluated and determined as:

• Being responsive/compliant/acceptable; and
• Having received the highest score out of a pre-determined set of weighted technical and financial criteria specific to the solicitation where technical criteria weighs 70% and Financial criteria/ Proposal weighs 30%.

Technical evaluation - Total 70% (70 points):

• Criteria 1: Demonstrated knowledge of Data Science, Big Data, Business Analytics, Predictive Analytics, NLP, Machine Learning and Cognitive Computing: Maximum Points: 20;

• Criteria 2: Demonstrable Knowledge of programming languages Like R, Python, Tableau, MySQL: Maximum Points: 20; 

• Criteria 3: Demonstrable Knowledge of developing & maintaining robust, customized applications ; Maximum Points: 10;
• Criteria 4: Demonstrable experience of maintaining client relationships: Maximum Points: 10; and
• Criteria 5: Demonstrated knowledge of developing new applications within an agile environment: Maximum Points: 10;

Candidates obtaining a minimum of 70% (49 points) of the maximum obtainable points for the technical criteria (70 points) shall be considered for the financial evaluation.

Financial Evaluation - Total 30% (30 points):

The following formula will be used to evaluate financial proposal: 

p = y (µ/z), where

p = points for the financial proposal being evaluated

y = maximum number of points for the financial proposal

µ = price of the lowest priced proposal

z = price of the proposal being evaluated

Contract Award:

Candidate obtaining the highest combined scores in the combined score of Technical and Financial evaluation will be considered technically qualified and will be offered to enter into contract with UNDP.

Institutional Arrangement:

The consultant will work under the guidance and direct supervision of Deputy Director and Chief of HRM, HQ/BMS/OHR and will be responsible for the fulfilment of the deliverables as specified above.

Payment Modality:

• Payment to the Individual Contractor will be made based on the actual number of days worked, deliverables accepted and upon certification of satisfactory completion by the manager.
• The work week will be based on 35 hours, i.e. on a 7-hours working day, with core hours being between 9h00 and 18h00 daily. 

Annexes (click on the hyperlink to access the documents):

Annex 1 - UNDP P-11 Form for ICs

Annex 2 - IC Contract Template

Annex 3 - IC General Terms and Conditions

Annex 4 - RLA Template

Any request for clarification must be sent by email to cpu.bids@undp.org 

The UNDP Central Procurement Unit will respond by email and will send written copies of the response, including an explanation of the query without identifying the source of inquiry, to all applicants.