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- Tasks: Join us as a Data Scientist to analyse data and create innovative visual analytics.
- Company: ITHR is a dynamic company focused on leveraging data for impactful business decisions.
- Benefits: Enjoy flexible work options, collaborative culture, and opportunities for professional growth.
- Why this job: Be part of a fast-paced team that values creativity and insights in data-driven decision making.
- Qualifications: Bachelor’s Degree in relevant fields and experience in Java and Python programming required.
- Other info: Mention NLP People when applying to stand out!
The predicted salary is between 36000 - 60000 £ per year.
The candidate is expected to have strong cross-functional skills in quantitative analysis (statistics and mathematics), programming, and business insights. He/she should be able to learn quickly and work in a fast-paced environment while collaborating with clients and other talented individuals.
Company:
ITHR
Qualifications:
Primary responsibilities include:
- Build and maintain back-end systems and data warehouses
- Provide simple yet innovative visual analytics by expressing complex data
- Translate raw data into meaningful, relevant, and accurate reports
- Develop machine learning algorithms for building relationships, clusters, and segments of data
- Design statistical methods tailored to client needs
- Proactively develop data expressions to uncover new insights that drive beneficial decisions for stakeholders
Technical Requirements:
- Statistical Programming Languages: SPSS, SAS, R, Stata, WEKA, or equivalent
- Database Development Languages: SQL, Shell Scripting, PERL, Big Data technologies, or equivalent
- Other required languages: Java, Python, OpenGL (for 3D Graphics)
Educational Requirements:
- Bachelor’s Degree in Computer Science, Information Technology, Mathematics, Statistics, or equivalent
- Experience in Java and Python programming
How to apply:
Please mention NLP People as a source when applying.
Tagged as: Big Data , Clustering , Data Mining , Industry , Machine Learning , United Kingdom
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Data Scientist employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the specific statistical programming languages mentioned in the job description, such as R and Python. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your technical proficiency during interviews.
✨Tip Number 2
Showcase your ability to work in a fast-paced environment by discussing any relevant projects or experiences where you had to adapt quickly. This could be through internships, academic projects, or even personal initiatives that required rapid learning and collaboration.
✨Tip Number 3
Prepare to discuss how you've used data to drive decisions in past roles or projects. Be ready to provide examples of how your analytical skills have led to actionable insights, as this aligns closely with the responsibilities outlined in the job description.
✨Tip Number 4
Network with professionals in the data science field, especially those who have experience with machine learning and big data technologies. Engaging with industry experts can provide valuable insights and potentially lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with statistical programming languages like SPSS, R, and Python. Include specific projects or roles where you've built data warehouses or developed machine learning algorithms.
Craft a Compelling Cover Letter: In your cover letter, emphasise your ability to work in fast-paced environments and your cross-functional skills. Mention any relevant experiences that showcase your quantitative analysis and programming expertise.
Showcase Relevant Projects: If you have worked on projects involving data visualisation or machine learning, include these in your application. Describe the challenges you faced and how you overcame them, focusing on the impact of your work.
Highlight Collaboration Skills: Since the role involves collaboration with clients and other professionals, mention any teamwork experiences. Discuss how you effectively communicated complex data insights to non-technical stakeholders.
How to prepare for a job interview at NLP PEOPLE
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in statistical programming languages like R or Python, as well as your experience with SQL and machine learning algorithms. Be prepared to discuss specific projects where you've applied these skills.
✨Demonstrate Problem-Solving Abilities
During the interview, be ready to tackle hypothetical scenarios or case studies that require you to analyse data and derive insights. This will showcase your analytical thinking and ability to work under pressure.
✨Communicate Clearly
Since the role involves translating complex data into meaningful reports, practice explaining your past projects in a clear and concise manner. Use simple language to describe technical concepts, making it easier for non-technical stakeholders to understand.
✨Prepare Questions for the Interviewers
Engage with your interviewers by asking insightful questions about their data strategies, team dynamics, and the tools they use. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
