At a Glance
- Tasks: Support UNICEF's data science platform with advanced analytics and visualisations.
- Company: Join UNICEF, a global leader in child rights and development.
- Benefits: Remote work, competitive pay, and opportunities for personal growth.
- Why this job: Make a real difference in children's lives while developing your data skills.
- Qualifications: Degree in data science or related field; experience with data tools preferred.
- Other info: Diverse and inclusive culture with a commitment to professional development.
The predicted salary is between 30000 - 40000 £ per year.
Contract Duration: 3 months
Working arrangement: Home based / Remote
UNICEF works in over 190 countries and territories to save children’s lives, defend their rights, and help them fulfil their potential, from early childhood through adolescence. At UNICEF, we are committed, passionate, and proud of what we do for as long as we are needed. Promoting the rights of every child is not just a job – it is a calling. UNICEF is a place where careers are built. We offer our staff diverse opportunities for professional and personal development that will help them reinforce a sense of purpose while serving children and communities across the world. We welcome everyone who wants to belong and grow in a diverse and passionate culture, coupled with an attractive compensation and benefits package.
Terms of Reference
EOF wants to recruit a Consultant (Data and Analytics) to support the development of EOF’s data science platform. This gives the opportunity to utilize some new extensive datasets and advanced machine learning and Artificial Intelligence (AI) libraries.
Scope of Work
- Data Management
- Onboarding and structuring datasets into Azure platform.
- Sourcing interesting data and onboarding into data environment.
- Permission and data system maintenance.
- Data Analytics
- Cleaning and analyzing data; primarily using Python.
- Assisting with advance analytics using Databricks & machine learning libraries.
- Assisting in iteration of modelling and coding infrastructure.
- Visualisations
- Assisting in the development of visualizations.
- Sourcing and trialling of third-party visualisation software.
- Working with wider EOF team to refine visualizations.
If you would like to know more about this consultancy, please review the complete Terms of Reference.
Education
Minimum requirements: A degree in data science, analytics, statistics, economics, applied mathematics, finance, or a related field, is required. A Masters degree in a relevant subject is preferred but not required.
Work Experience
A minimum of 1 year of relevant professional experience in data science, computer science, finance, statistics, economics, business, or a related field, is required. Proven experience with data science through projects or working experience. Proven experience with relevant tools such as PowerBI, MapBox, DataBricks. Proven experience working in the education sector, preferably in a development context. Proven experience with outcomes-based financing or innovative finance models is highly desirable.
For Every Child
UNICEF’s Core Values of Care, Respect, Integrity, Trust and Accountability and Sustainability (CRITAS) underpin everything we do and how we do it. UNICEF promotes and advocates for the protection of the rights of every child, everywhere, in everything it does and is mandated to support the realization of the rights of every child, including those most disadvantaged, and our global workforce must reflect the diversity of those children. The UNICEF family is committed to include everyone, irrespective of their race/ethnicity, disability, gender identity, sexual orientation, religion, nationality, socio-economic background, minority, or any other status. UNICEF encourages applications from all qualified candidates, regardless of gender, nationality, religious or ethnic backgrounds, and from people with disabilities, including neurodivergence. We offer reasonable accommodation for persons with disabilities throughout the recruitment process.
Application Documents
- An up-to-date TMS profile and curriculum vitae (CV)
- Cover letter
- A separate financial proposal
UNICEF does not charge a processing fee at any stage of its recruitment, selection, and hiring processes. UNICEF will not ask for applicants’ bank account information. All UNICEF positions are advertised, and only shortlisted candidates will be contacted and advance to the next stage of the selection process.
Data and Analytics Consultant, EOF, London, Remote. Req#591879 employer: UNICEF
Contact Detail:
UNICEF Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data and Analytics Consultant, EOF, London, Remote. Req#591879
✨Tip Number 1
Get your networking game on! Reach out to people in the data and analytics field, especially those who work at UNICEF or similar organisations. A friendly chat can open doors and give you insider info that could help your application stand out.
✨Tip Number 2
Prepare for the interview like it’s a big exam. Research common questions for data consultants and practice your answers. We want you to showcase your skills in Python, Azure, and visualisation tools like PowerBI. Confidence is key!
✨Tip Number 3
Show off your projects! If you’ve worked on any relevant data science projects, be ready to discuss them in detail. Highlight your experience with machine learning and how you’ve tackled real-world problems using data.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, you’ll find all the details you need about the role and the amazing work we do at UNICEF.
We think you need these skills to ace Data and Analytics Consultant, EOF, London, Remote. Req#591879
Some tips for your application 🫡
Get Your CV Spot On: Make sure your CV is up-to-date and tailored to the Data and Analytics Consultant role. Highlight your relevant experience, especially with data science tools like Python and Databricks, so we can see how you fit into our team.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about working with UNICEF and how your skills align with our mission. Keep it concise but impactful – we want to feel your enthusiasm!
Showcase Your Projects: If you've worked on any cool data projects, don’t hold back! Mention them in your application to give us a taste of your hands-on experience. We love seeing how you've tackled real-world problems with data.
Apply Through Our Website: Don’t forget to apply through our official website! It’s the best way to ensure your application gets to us directly. Plus, you’ll find all the info you need about the role and our values there.
How to prepare for a job interview at UNICEF
✨Know Your Data Tools
Make sure you’re familiar with the tools mentioned in the job description, like Python, PowerBI, and Databricks. Brush up on your skills and be ready to discuss specific projects where you've used these tools effectively.
✨Show Your Passion for UNICEF's Mission
UNICEF is all about making a difference for children worldwide. Be prepared to share why you’re passionate about their mission and how your values align with theirs. This will show that you’re not just looking for a job, but a calling.
✨Prepare for Technical Questions
Expect technical questions related to data management and analytics. Practice explaining your thought process when cleaning data or creating visualisations. Being able to articulate your approach will impress the interviewers.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready. Ask about the team dynamics, ongoing projects, or how success is measured in this role. This shows your genuine interest and helps you gauge if it’s the right fit for you.