Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Dive into data to uncover insights and drive product innovation.
- Company: Join a cutting-edge social network focused on data-driven solutions.
- Benefits: Enjoy flexible work options, competitive pay, and opportunities for growth.
- Why this job: Be part of a dynamic team making impactful discoveries in tech.
- Qualifications: Master's degree in computer science or related field; experience with Python, R, or big data tools.
- Other info: Ideal for those passionate about data and eager to shape the future.
The predicted salary is between 28800 - 48000 £ per year.
Social network you want to login/join with: Summary: The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Job Responsibilities: • Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. • Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. • Generate and test hypotheses and analyze and interpret the results of product experiments. • Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation. • Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support. Skills: • Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau. • The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics. • Experience working with large datasets. Education/Experience: • Master of Science degree in computer science or in a relevant field. #J-18808-Ljbffr
Data Analyst/Scientist employer: Aquent
Contact Detail:
Aquent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst/Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in data science and analytics. Follow industry leaders on platforms like LinkedIn or Twitter to stay updated on new tools and techniques, especially those related to Python, R, and big data technologies.
✨Tip Number 2
Engage in online communities or forums focused on data science. Participating in discussions can help you network with professionals in the field and may lead to valuable insights or job referrals.
✨Tip Number 3
Work on personal projects that showcase your skills in data analysis and visualisation. Create a portfolio that highlights your ability to solve real-world problems using data, which can impress potential employers.
✨Tip Number 4
Prepare for technical interviews by practising common data science problems and algorithms. Use platforms like LeetCode or HackerRank to sharpen your coding skills and get comfortable with the types of questions you might face.
We think you need these skills to ace Data Analyst/Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Emphasise your proficiency in programming languages like Python or R, and any experience with big data tools or data visualisation software.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and your ability to derive insights from complex datasets. Mention specific projects or experiences where you applied statistical methods or machine learning techniques.
Showcase Your Analytical Skills: In your application, provide examples of how you've used data to solve problems or improve products. Discuss any predictive models or algorithms you've developed and the impact they had on previous projects.
Highlight Communication Skills: Since effective communication is key for this role, include examples of how you've conveyed complex information clearly in writing. This could be through reports, presentations, or documentation of your work.
How to prepare for a job interview at Aquent
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like Python or R, as well as any big data tools you've used. Bring examples of projects where you applied these skills, and be ready to explain your thought process.
✨Demonstrate Problem-Solving Abilities
Expect to face scenario-based questions that assess your analytical thinking. Practice explaining how you would approach a complex dataset, identify patterns, and derive actionable insights from it.
✨Communicate Clearly
Since effective communication is key, practice articulating complex concepts in simple terms. Be ready to discuss how you would present your findings to non-technical stakeholders, ensuring they understand the value of your analysis.
✨Prepare for Hypothesis Testing
Familiarise yourself with the process of generating and testing hypotheses. Be ready to discuss past experiences where you conducted experiments, analysed results, and how those findings influenced product development.
