Junior Data Scientist

Junior Data Scientist

Full-Time 28000 - 35000 £ / year (est.) No working from home possible
ICF

At a Glance

  • Tasks: Join our team to analyse data and create impactful visualisations across diverse fields.
  • Company: ICF, a forward-thinking company dedicated to making a difference.
  • Benefits: Gain hands-on experience, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with opportunities to work on multiple exciting projects.
  • Why this job: Make a real impact on important societal issues while developing your data science skills.
  • Qualifications: Strong Python skills, knowledge of NLP, and a passion for social sciences.

The predicted salary is between 28000 - 35000 £ per year.

ICF is expanding its services and is looking for a Junior Data Scientist with strong Python experience and knowledge of natural language processing (NLP) to join its growing team. This position involves working with colleagues to deploy data science tools and techniques. You will have the opportunity to work on projects in a wide array of fields, from consumer policy to health, justice to migration, education to food, security to the environment. You will employ data science techniques to build models, analyse data, and create visualisations.

Responsibilities

  • Contribute to drafting reports and proposals.
  • Present research findings to clients.
  • Work on multiple projects simultaneously.
  • Interact with all levels of ICF staff and external stakeholders.

Requirements

  • An academic background in a social science, statistics, computer science, or mathematics.
  • Strong command of Python and its associated libraries.
  • Familiarity with NLP and an interest in further development in this area.
  • Strong analytical and problem-solving skills.
  • Strong writing and presentation skills.
  • Good organisational skills and ability to work with minimal supervision.
  • Knowledge of database systems, such as MySQL, PostgreSQL, is a plus.
  • Experience with version control systems, such as Git, is a plus.
  • Demonstrated real interest in UK/European policies in areas such as consumer policy, health, justice, migration, education, food, security, and the environment.

Junior Data Scientist employer: ICF

ICF is an exceptional employer that fosters a collaborative and innovative work culture, providing Junior Data Scientists with the opportunity to engage in diverse projects across critical sectors such as health, education, and the environment. With a strong emphasis on professional development, employees are encouraged to enhance their skills in data science and natural language processing while contributing to meaningful policy-related work. Located in a vibrant area, ICF offers a supportive environment where your contributions can make a real impact.

ICF

Contact Details:

ICF Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Junior Data Scientist

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your Python projects and any NLP work you've done. This is your chance to demonstrate your analytical prowess and problem-solving skills to potential employers.

Tip Number 3

Prepare for interviews by practising common data science questions and presenting your findings clearly. Remember, communication is key, so work on your presentation skills to impress those interviewers!

Tip Number 4

Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your relevant experience and passion for the role.

We think you need these skills to ace Junior Data Scientist

Python
Natural Language Processing (NLP)
Data Analysis
Model Building
Data Visualisation
Analytical Skills
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Junior Data Scientist role. Highlight your Python expertise and any projects related to NLP, as these are key for us.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data science and how your background in social sciences or statistics makes you a great fit. Be sure to mention your interest in UK/European policies!

Showcase Your Projects:If you've worked on relevant projects, whether in school or on your own, make sure to include them. We love seeing practical applications of your skills, especially in areas like health or education.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!

How to prepare for a job interview at ICF

Know Your Python Inside Out

Make sure you brush up on your Python skills before the interview. Be ready to discuss specific libraries you've used, especially those related to data science and NLP. Practising coding challenges can also help you demonstrate your problem-solving abilities.

Showcase Your Analytical Skills

Prepare examples of how you've used data analysis in past projects. Whether it's building models or creating visualisations, be ready to explain your thought process and the impact of your work. This will show your potential employer that you can contribute effectively to their projects.

Understand the Company’s Focus Areas

ICF works across various fields like health, education, and migration. Familiarise yourself with their recent projects and how they apply data science techniques. This knowledge will not only impress your interviewers but also help you tailor your responses to align with their goals.

Practice Your Presentation Skills

Since you'll need to present findings to clients, practice explaining complex concepts in simple terms. Consider doing mock presentations to friends or family. This will help you feel more confident and articulate during the actual interview.