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| Job Location | London |
| Education | Not Mentioned |
| Salary | 60,000 - 80,000 per annum |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Permanent , full-time |
Are you an experienced Data Scientist with a strong background in numeracy and a passion for developing cutting-edge algorithms We are currently seeking a talented Data Scientist to join our clients Promotions team.As a Data Scientist, you will develop algorithms using statistical modelling and machine learning techniques. You will work in a fast-paced, collaborative, and dynamic environment, using Python (Pandas, NumPy, and SciPy) to produce data-driven solutions that have a significant impact on the business.In this role, you will focus on identifying the best promotional terms (e.g. pricing, amounts) to maximize customer take-up and value to the organization. You will analyse observational data, identify hypotheses for possible unknown relationships, determinetheir commercial relevance, and design and implement tests to evaluate them.To be successful in this role, you should have a degree in Engineering, Mathematics, Physics, or equivalent, and a background in Probability & Statistics. You should have a strong foundation in computer science fundamentals and experience with programminglanguages such as Python, Java, C/C++, or similar. Additionally, you should have experience with tools such as Pandas, NumPy, SciPy, R, Matlab, and/or SQL, as well as an understanding of web technologies.We are looking for a self-starter who can work autonomously in an unstructured environment. You should have demonstrable experience using machine learning techniques and be able to show a track record of developing successful algorithms.If you are a highly motivated and talented Data Scientist with the required skills and experience, and are looking for a new challenge, we want to hear from you. Hit the Apply Now button to find out more OR if your CV is not up to date, then please dropme an email on sean @ sentienttalent . com to find out more.