Data Science Specialist

Job description

Background & Purpose of the Job

The Organization Effectiveness (OE) and Analytics team creates and deploys best in class organization standards that touch all parts of our business- using analytics to build our points of view. We invest in raising the capability in Analytics of our team, developing and launching business ready tools to enable effective implementation for Human Resources.

Who You Are & What You'll Do

The Data Science Specialist will need to combine proficiency in OE execution with the ability to run and implement Human Resources projects across a variety of different business units within Unilever.

Responsibilities
· Work closely with HR and Business Leaders and to identify the Organization elements to a business problem, and co-create solutions to address the opportunity
· Build prototype tools and new ways of modelling OE and Analytics, including the use of data sets (e.g. Finance, Productivity tools)
· Effective project leadership related to OE, Analytics, workforce planning and employee insights – across employee and non-employees
· Partner with ETS I&A and data scientists to develop breakthrough solutions
· Responsible for applying new technology, predictive analytics, insights and AI into HR processes and practices.
You're a strategic positioner : Using analytics/insights to influence stakeholders in driving strategies that support the business (esp. HR)
You're a credible activist : Ability to drive from data poor to data rich and data intelligence to co-create solutions for the business with reporting and data
You're a change maker : Ability to drive change and innovation by gathering knowledge and resources to ensure tasks are completed within timelines to a high degree of accuracy and professionalism
You're a culture & change champion : Exceptional interpersonal skills and the ability to build collaborative relationships with multiple and diverse stakeholders

What You'll Need to Succeed

The ideal candidate will have a keen interest in all areas of data and supporting the business with the following:
· At a Bachelor's degree – prefer related to Science and Data background
· Minimum of 1 year of experience working with large sets of data including spread sheets, integrated report, finance data etc.
· Advanced skill or certification in Excel (including master use of VLOOKUP, SUMPRODUCT, Pivot tables- will be tested as part of the interview process)
· Rigorous & creative analytic approach that enables superior business outcomes
· Able to communicate findings clearly (tell a story) to all audiences
· Recent experience with applying new technology, predictive analytics, insights and AI into various HR avenues like: talent management, succession planning and development practices.
· Knowledge of Machine Learning or Statistics preferable


What We Can Offer You
Culture for Growth | Top Notch Employee Health & Well Being Benefits | Every Voice Matters | Global Reach | Life at Unilever | Careers with Purpose | World Class Career Development Programs | Check Out Our Space | Focus On Sustainability

Please note: as part of the job application, you may be asked to complete pre-screening questions. Completion of the pre-screening questions are mandatory in order to be considered. Please allow yourself plenty of time to complete both the application and pre-screening questions. If the pre-screening questions are partially answered or not at all, it will adversely affect the progress of your application. Please be aware that you will have to complete the pre-screening questions at once as you will be unable to return to it later.

Unilever is an organization committed to diversity and inclusion to drive our business results and create a better future every day for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business.

Equal Opportunity/Affirmative Action Employer Minorities/Females/Protected Veterans/Persons with Disabilities

Applicants and employees are protected from discrimination under Federal law. For more information, please see EEO is the Law

Employment is subject to verification of pre-employment drug-screening results and background investigation.