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- Tasks: Work on exciting data projects for top organisations, using advanced modelling and analytics.
- Company: Join a global consulting firm with 4,000 professionals across 50 offices worldwide.
- Benefits: Enjoy ongoing training, a clear career path, and opportunities for internal promotion.
- Why this job: Be part of high-profile projects, learn from industry leaders, and make a real impact.
- Qualifications: Recent graduates or final year students in quantitative fields; knowledge of programming and modelling techniques preferred.
- Other info: Engage in community support activities and join our sports club for fun and networking.
The predicted salary is between 28800 - 43200 £ per year.
You will be working in key projects for leading organizations in data mining & knowledge Discovery, predictive modeling, trend modeling, Simulation models (Monte Carlo), Review of credit rating and scoring models and quant support to the business and R&D projects.
Requirements
Recent graduates or final year students from disciplines relating to Mathematics, Physics, Statistics, Econometrics or other Quantitative fields.
Postgraduate studies and/or specialised courses are an asset, especially in Data Science, Quantitative Finance or similar.
Should desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab) and big data tools and platforms (Hadoop, Hive, etc.).
Solid academic record.
Strong computer skills.
Knowledge of other languages is desirable.
Get-up-and-go attitude, maturity, responsibility and strong work ethic.
Strong ability to learn quickly.
Able to integrate easily into multidisciplinary teams.
We Offer The best environment to develop talent.
We offer you the possibility to join a firm that provides all you need to develop your talent to the fullest.
Benefits
Working in the highest-profile consulting projects in the industry, for the largest companies, leaders of their respective markets, alongside top industry management as they face challenges at the national and global level, as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry.
Ongoing training plan, with approximately 10% of business turnover spent in training.
Specialist knowledge courses, external expert courses, professional skills courses and language courses.
Last year our staff as a whole received over 400,000 hours of training spanning more than 160 courses.
Clearly defined career plan: internal promotion based solely on merit.
Partnership-based management model offers all professionals the opportunity to become part of the Firm’s group of partners.
Complementary experiences: University – we maintain a close relationship with the world’s most prestigious universities; Social Action – we organize more than 30 community support activities; Sports Club – internal and external tournaments.
For more information about Management Solutions and the professional careers we offer, we invite you to visit our website at: Management Solutions we believe in equal opportunities. In our selection process, all qualified applicants are equally considered for employment regardless of race, color, religion, national origin, sex, gender identity, sexual orientation, age, marital status, disability, and any other characteristic protected by law.
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DATA SCIENCE CONSULTANT LONDON employer: Management Solutions
Contact Detail:
Management Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DATA SCIENCE CONSULTANT LONDON
✨Tip Number 1
Familiarise yourself with the latest trends in data science and analytics. This will not only help you during interviews but also demonstrate your genuine interest in the field, which is crucial for a role like Data Science Consultant.
✨Tip Number 2
Network with professionals in the industry through platforms like LinkedIn. Engaging with current employees at Management Solutions can provide insights into the company culture and expectations, giving you an edge in your application.
✨Tip Number 3
Brush up on your programming skills, especially in Python and R, as these are essential for the role. Consider working on personal projects or contributing to open-source projects to showcase your abilities.
✨Tip Number 4
Prepare for case study interviews by practising problem-solving scenarios relevant to data science. This will help you think critically and articulate your thought process clearly during the interview.
We think you need these skills to ace DATA SCIENCE CONSULTANT LONDON
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the job description. Emphasise your knowledge of data mining, predictive modelling, and any programming languages mentioned, such as Python or R.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and consulting. Mention specific projects or experiences that demonstrate your ability to work in multidisciplinary teams and your strong work ethic.
Highlight Academic Achievements: Since the role seeks candidates with a solid academic record, be sure to include your academic achievements, relevant coursework, and any postgraduate studies or specialised courses in your application.
Showcase Soft Skills: In addition to technical skills, highlight your soft skills such as maturity, responsibility, and the ability to learn quickly. These traits are essential for integrating into multidisciplinary teams and will make your application stand out.
How to prepare for a job interview at Management Solutions
✨Showcase Your Technical Skills
Make sure to highlight your knowledge of statistical programming languages like Python, R, or SAS during the interview. Be prepared to discuss specific projects where you've applied these skills, as this will demonstrate your practical experience and understanding of data science concepts.
✨Understand the Company’s Core Mission
Familiarise yourself with Management Solutions' mission and the types of services they provide. This will help you align your answers with their goals and show that you're genuinely interested in contributing to their success.
✨Prepare for Technical Questions
Expect to face technical questions related to data mining, predictive modelling, and other relevant techniques. Brush up on key concepts and be ready to explain how you would approach specific problems or projects, showcasing your analytical thinking.
✨Demonstrate Teamwork and Adaptability
Since the role involves working in multidisciplinary teams, be prepared to discuss your experiences collaborating with others. Highlight instances where you've successfully integrated into a team and adapted to different working styles, as this will illustrate your ability to thrive in their environment.
