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- Tasks: Work on exciting data projects for top organisations, using advanced modelling and analytics.
- Company: Join Management Solutions, a leading international consulting firm focused on business and technology advisory.
- Benefits: Enjoy ongoing training, flexible hours, and opportunities for internal promotion and partnership.
- Why this job: Be part of a dynamic team tackling real-world challenges while developing your skills in a supportive environment.
- Qualifications: Recent graduates or final year students in quantitative fields; knowledge of programming and modelling techniques is a plus.
- Other info: Paid work experience available for students, with potential for full-time roles after graduation.
The predicted salary is between 28800 - 48000 £ per year.
You will be working on key projects for leading organisations in data mining & knowledge discovery, predictive modelling, trend modelling, simulation models (Monte Carlo), review of credit rating and scoring models, and quantitative 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.
- Desirable knowledge of modelling techniques (logit, GLM, time series, decision trees, random forests, clustering).
- Familiarity with 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.
- Working in high-profile consulting projects for the largest companies, alongside top industry management.
- Ongoing training plan, with approximately 10% of business turnover spent on training.
- Clearly defined career plan with 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 including community support activities and sports club tournaments.
Management Solutions is an international consulting firm whose core mission is to deliver business, risk, financial, organisational and process-related advisory services.
DATA SCIENCE CONSULTANT LONDON employer: Management Solutions, S.L
Contact Detail:
Management Solutions, S.L 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. Follow industry leaders on social media, read relevant blogs, and engage in online forums to stay updated. This knowledge will not only help you during interviews but also show your genuine interest in the field.
✨Tip Number 2
Network with professionals in the data science community. Attend meetups, webinars, or conferences related to data science and analytics. Building connections can lead to valuable insights and potential referrals for job openings at StudySmarter.
✨Tip Number 3
Brush up on your technical skills, especially in programming languages like Python and R, as well as big data tools. Consider working on personal projects or contributing to open-source projects to demonstrate your capabilities and passion for data science.
✨Tip Number 4
Prepare for behavioural interview questions by reflecting on your past experiences. Think about times when you've worked in teams, solved problems, or faced challenges. Being able to articulate these experiences will help you stand out during the interview process.
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 related to data science, such as your knowledge of statistical programming languages like Python or R, and any projects involving predictive modelling or data mining.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or values of Management Solutions that resonate with you, and explain how your background in Mathematics or Statistics makes you a great fit.
Showcase Your Technical Skills: Clearly list your technical skills, especially those mentioned in the job description, such as experience with big data tools like Hadoop or knowledge of modelling techniques. Provide examples of how you've applied these skills in academic or project settings.
Highlight Teamwork and Learning Ability: Since the role requires integration into multidisciplinary teams, emphasise any group projects or collaborative experiences you've had. Also, mention your eagerness to learn and adapt, which is crucial for a fast-paced consulting environment.
How to prepare for a job interview at Management Solutions, S.L
✨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 Projects
Research Management Solutions and their key projects in data mining and predictive modelling. Being able to discuss how your skills can contribute to their ongoing projects will show your genuine interest in the role and the company.
✨Prepare for Technical Questions
Expect technical questions related to modelling techniques such as decision trees or clustering. Brush up on these topics and be ready to explain your thought process and problem-solving approach, as this will showcase your analytical abilities.
✨Demonstrate Teamwork and Adaptability
Since the role requires integration into multidisciplinary teams, share examples from your past experiences where you successfully collaborated with others. Highlight your ability to adapt and learn quickly, which is crucial in a dynamic consulting environment.
