Data Scientist, MDI Predictive Displacement Project

The Opportunity

Save the Children International has an exciting opportunity for you to join our team as theData Scientist, MDI Predictive Displacement Project at London or any existing Save the Children office location.

Scope

Report to: Project Lead, Migration and Displacement Initiative

Staff reporting to this post: n/a

Key internal relationships: MDI colleagues, partner organisation staff, skills-based volunteers, migration and innovation leads within Save the Children.

Key external relationships: IO/NGOs, private sector, research/academic institutions working on migration and displacement, predictive analytics, and/or broader data science and informatics issues.

Budget Responsibilities: none

Role Dimensions: This is a demanding and fast-moving role in a complex, international federated organisation that works in over 100 countries. It calls for a high level of technical literacy in data science with a focus on predictive analytics, a creative and entrepreneurial approach to problem solving, and the ability to work with diverse partners and stakeholders.

In order to be successful you will bring/have:

EXPERIENCE AND SKILLS

Essential

  • Relevant experience working in scientific research or software development involving predictive analytics, ideally including machine learning and artificial intelligence.
  • Knowledge of analytical techniques including machine learning, agent-based modelling and modelling of complex systems.
  • Proficiency with a modern programming language appropriate for machine learning prototyping: Python is required, and skill in other relevant languages (i.e. R or JavaScript) would be beneficial.
  • Knowledge of data structures and data management methods, the ability to analyse a problem and determine an efficient structure for the task; pulling of data/integration of data from multiple sources; ability to clean data via scripting language.
  • Experience of working with engineering and design/product teams.
  • Project management skill set, including directing and reviewing the work of others through software/innovation development cycles, ideally in a social impact context.
  • Highly developed cultural awareness and ability to work collaboratively in an international environment with people from diverse backgrounds and cultures.
  • Excellent written and oral communication skills.
  • The ability to work independently, in an entrepreneurial environment that prioritises creative problem solving and innovative solutions.
  • Ability to communicate technical topics effectively to both technical and non-technical team members and staff.
  • Commitment to Save the Children’s values.

Desirable

  • Relevant experience working in scientific research or software development involving predictive analytics, ideally including machine learning and artificial intelligence.
  • Knowledge of analytical techniques including machine learning, agent-based modelling and modelling of complex systems.
  • Proficiency with a modern programming language appropriate for machine learning prototyping: Python is required, and skill in other relevant languages (i.e. R or JavaScript) would be beneficial.
  • Knowledge of data structures and data management methods, the ability to analyse a problem and determine an efficient structure for the task; pulling of data/integration of data from multiple sources; ability to clean data via scripting language.
  • Experience of working with engineering and design/product teams.
  • Project management skill set, including directing and reviewing the work of others through software/innovation development cycles, ideally in a social impact context.
  • Highly developed cultural awareness and ability to work collaboratively in an international environment with people from diverse backgrounds and cultures.
  • Excellent written and oral communication skills.
  • The ability to work independently, in an entrepreneurial environment that prioritises creative problem solving and innovative solutions.
  • Ability to communicate technical topics effectively to both technical and non-technical team members and staff.
  • Commitment to Save the Children’s values.

We can offer circa £ £43,250 per annum ( If based in UK) with an option of flexible of working hours

The Organisation

We employ approximately 25,000 people across the globe and work on the ground in over 100 countries to help children affected by crises, or those that need better healthcare, education and child protection. We also campaign and advocate at the highest levels to realise the right of children and to ensure their voices are heard.

We are working towards three breakthroughs in how the world treats children by 2030:

  • No child dies from preventable causes before their 5th birthday
  • All children learn from a quality basic education and that,
  • Violence against children is no longer tolerated

We know that great people make a great organization, and that our employees play a crucial role in helping us achieve our ambitions for children. We value our people and offer a meaningful and rewarding career, along with a collaborative and inclusive environment where ambition, creativity, and integrity are highly valued.

Application Information:

Please attach a copy of your CV and cover letter with your application, and include details of your salary expectations. A copy of the full role profile can be found at www.savethechildren.net/careers/apply

We need to keep children safe so our selection process, which includes rigorous background checks, reflects our commitment to the protection of children from abuse.

All employees are expected to carry out their duties in accordance with our global anti-harassment policy.

Save the Children does not charge a fee at any stage of the recruitment process.

Job description:

Find out more about this role by downloading the job description here Job description

Date advertised: 3 Jun 2021

Closing date: 5 Jul 2021 - 00:59 CEST

Location: Worldwide, Worldwide

Department: Information Technology

Type: Fixed-term contract

Schedule: Full-time

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