Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Innovate and build risk models using cutting-edge data analytics and machine learning.
- Company: Join a dynamic team of experts shaping global strategic decisions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by turning data into actionable insights for leading organisations.
- Qualifications: Experience in Python or R, with a focus on NLP and big data analysis.
- Other info: Ideal for those with advanced degrees and a passion for fast-paced environments.
The predicted salary is between 30000 - 50000 £ per year.
Join an integrated team of economists, political scientists, and computer scientists to shape the strategic decisions of the world's leading organizations.
How You'll Make an Impact
- Innovate: Prototype new approaches for extracting insights from structured and unstructured data.
- Build: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data.
- Collaborate: Partner with cross-domain experts to turn non-technical ideas into scalable, interpretable research designs.
- Deploy: Develop and maintain robust ML pipelines for both experimentation and production.
Who You Are
- Technical Expert: You have substantial experience with Python or R, and are skilled in querying and analyzing big data.
- NLP Specialist: You have a proven track record of developing and refining NLP models.
- Clear Communicator: You can explain complex ML/NLP methodologies to non-technical stakeholders with ease.
- Methodical: You are familiar with experiment tracking (DVC, Weights & Biases) and model evaluation metrics.
Stand Out From the Crowd: Candidates with an advanced degree in ML/NLP, exposure to cloud platforms (AWS, Databricks, Snowflake), or experience in agile, fast-paced environments are highly encouraged to apply.
Data Scientist employer: Randstad Technologies Recruitment
Contact Detail:
Randstad Technologies Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections are when it comes to landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving NLP and ML. We all know that actions speak louder than words, so let your work do the talking.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and practising common data science questions. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python or R in your application. We want to see how you've tackled big data and any cool NLP models you've developed. Don't hold back!
Keep It Clear and Concise: When explaining your past projects, remember that not everyone is a tech whiz. Use simple language to describe your methodologies and results, so we can easily grasp your impact.
Tailor Your Application: Take a moment to align your application with the job description. Mention specific experiences that relate to risk models, ML pipelines, or collaboration with cross-domain experts. It shows us you’re genuinely interested!
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 Randstad Technologies Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your Python or R skills before the interview. Be ready to discuss your experience with big data and how you've used these languages in past projects. They’ll want to see that you can not only code but also understand the underlying principles of data science.
✨Show Off Your NLP Expertise
Prepare to talk about specific NLP models you've developed or refined. Bring examples of how you've tackled challenges in this area, and be ready to explain your thought process in a way that non-technical folks can grasp. This will demonstrate your ability to communicate complex ideas clearly.
✨Demonstrate Collaboration Skills
Think of examples where you've worked with cross-domain experts. Highlight how you turned non-technical ideas into actionable research designs. This shows that you’re not just a tech whiz but also a team player who can bridge the gap between different fields.
✨Familiarise Yourself with Experiment Tracking
Get comfortable discussing tools like DVC or Weights & Biases. Be prepared to explain how you track experiments and evaluate models. This knowledge will set you apart as someone who is methodical and detail-oriented, which is crucial for a Data Scientist role.
