Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a global analytics team to create complex behavioral models and analyze customer data.
- Company: OPUS is a leading client in the heart of the City, focused on data-driven solutions.
- Benefits: Enjoy extensive skills training and personal development opportunities for career growth.
- Why this job: This role offers a chance to solve real-world problems using cutting-edge data science techniques.
- Qualifications: Ideal candidates have experience in data science, machine learning, SQL, and relevant advanced degrees.
- Other info: Proactive and creative thinkers are encouraged to apply and make an impact.
The predicted salary is between 28800 - 42000 £ per year.
This is an exceptional job opportunity to work for a leading client in the heart of the City as a Jnr Data Scientist. You will be part of a global analytics team using a number of big data technologies to produce complex behavioural models, customer uptake product analysis, and new product innovation.
Provide data-driven analysis via statistical, quantitative, machine learning, programmatic, and heuristic methods. Relate statistical and other analytical results to real-world problems and explain the results to non-technical clients and colleagues.
Heavy use of SQL programming and statistical packages is required. Analyse, understand, clean, integrate, and process complex/messy data. Execute and deliver standard analytics services efficiently and consistently. Be proactive, creative, and inventive to solve problems to enhance existing and develop new analytics-related products and services.
My clients are especially interested in hearing from gifted scientists who not only have exceptional data analysis and problem-solving abilities but also have what it takes to discern the hidden patterns and signals within the markets.
Company:
OPUS (Rec.)
Qualifications:
Useful skills to possess:
– Commercial data science experience
– Machine learning
– SQL
– MSc or PhD preferred in either of the following areas: statistics, physics, mathematics, Computer Science, or Engineering
– Creating customer segmentation models
– Knowledge of SAS
– Data Mining
– R/Python
– Proficient user of MS Office
This is a superb career opportunity in the Data Science space. This company invests a tremendous amount of time and money on skills training and personal development, so it will be a huge opportunity to progress your career from a technical Data Science skills and personal growth perspective.
Educational level:
Master Degree
#J-18808-Ljbffr
Data Scientist – Machine learning and SQL employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist – Machine learning and SQL
✨Tip Number 1
Familiarize yourself with the latest trends in machine learning and SQL. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Practice explaining complex data concepts in simple terms. Since you'll need to communicate with non-technical clients, being able to break down your analysis will set you apart from other candidates.
✨Tip Number 3
Showcase any projects where you've used big data technologies or created customer segmentation models. Real-world examples of your work can highlight your practical experience and problem-solving skills.
✨Tip Number 4
Network with professionals in the data science community. Attend meetups or webinars related to data analytics and machine learning to make connections that could lead to referrals or insights about the company.
We think you need these skills to ace Data Scientist – Machine learning and SQL
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and qualifications required for the Data Scientist position. Tailor your application to highlight how your skills and experiences align with these requirements.
Highlight Relevant Experience: In your CV and cover letter, emphasize any commercial data science experience you have, particularly in machine learning and SQL. Provide specific examples of projects where you've used these skills to solve real-world problems.
Showcase Your Technical Skills: Mention your proficiency in statistical packages, R/Python, and any experience with data mining or creating customer segmentation models. This will demonstrate your technical capabilities and readiness for the role.
Communicate Clearly: Since the role involves explaining complex analytical results to non-technical clients, ensure that your application reflects your ability to communicate effectively. Use clear and concise language to describe your past work and its impact.
How to prepare for a job interview at NLP PEOPLE
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, machine learning, and data analysis. Bring examples of projects where you've used these skills, and be ready to explain your thought process and the impact of your work.
✨Communicate Clearly
Since you'll need to explain complex data findings to non-technical colleagues, practice simplifying your explanations. Use analogies or real-world examples to make your points relatable and understandable.
✨Demonstrate Problem-Solving Abilities
Think of specific instances where you've encountered challenges in data analysis. Be ready to discuss how you approached these problems creatively and what solutions you implemented to overcome them.
✨Highlight Your Passion for Data Science
Express your enthusiasm for data science and continuous learning. Share any recent courses, certifications, or projects that showcase your commitment to staying updated with industry trends and technologies.
