Lead Data Science Consultant

Quant Capital
London, UK
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Amazon Web Services Big Data Data Architecture Linux DevOps Financial Software Python (Programming Language) Linear Regression Logistic Regression Machine Learning NoSQL Tensorflow
+4 more
Scripting Theano Scikit Learn Data Management

Job description

Lead Data Science ConsultantPermanent or ContractQuant Capital is urgently looking for Data Scientist / Machine Learning Consultant to join our high profile client.My client is a well known financial software house, providing platforms and consultancy to the financial and insurance space.The Data Science Consultant is responsible for performing predictive analytics and build models across credit risk, fraud, collections and marketing. The successful Data Scientist will lead the team that will define the Big Data strategy for my client and will lead or participate in R&D projects in the digital space and identify new tools, methods and opportunities to profitably grow the business.Building relationships with business SMEs and stakeholders to understand their business requirements.Logical and physical modelling.Extract data from business (who don’t always know where it is or what it does)Present data from various unclean sourcesCommunicating innovative data-centric solutions and

Requirements

providing strong architectural designs to develop a workable solution.Machine Learning ConsultancyDocumentingProvide expertise on Data management capabilities.Analyse and model data concepts across the enterprise.Consulting on the necessary data architecture, elaborating the requirements, business KPIs and other reporting or analytical outputs.Data Science Consultants / Machine Learning MUST have: (the below also gives you an idea of stack)Implementation of machine learning-based or data science based solutions for CORPORATE clients.Strong Business acumen and experience cross industryDelivery of ongoing/ production solutions, not simply one-off analysesConsultancy skills, including ability to shape ambiguous requirements into clearly defined projectsProfessional experience of more than 2 yearsAbility to client face and consultStrong Data Science backgroundStrong understanding of probability and statisticsIdeally Machine learning (experience of techniques such as linear regression, logistic regression, boosting, kNN)Ideally Python or another languageExperience of one or more common frameworks (e.g. Caffe, Theano, Torch, Tensorflow, scikit-learn)The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. The atmosphere is calm and relaxed with an open dress code. This is a role for techies, those who are motivated by the sharp end of technology and the possibility of making serious money doing something you are passionate about. My client is based near Wimbledon, LondonIf this sounds of interest then please apply directly.Machine Learning, Data Science, python, Bubble visualisation Linux AWS Cloud Systems Infrastructure Linux Sys Admin Financial Tech STartup - Linux, Scripting, Automation, Kernel, NoSQL DEVOPS Python Development Operations

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