At a Glance
- Tasks: Lead data science projects, build predictive models, and consult on innovative solutions.
- Company: Join a renowned financial software house with a relaxed, tech-driven culture.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Work in a calm, open atmosphere with a focus on creativity and innovation.
- Why this job: Make a real impact in the financial sector using cutting-edge data science techniques.
- Qualifications: 2+ years of data science experience, strong consultancy skills, and proficiency in Python.
The predicted salary is between 63000 - 77000 £ per year.
Lead Data Science Consultant Permanent or Contract Quant 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 sources Communicating innovative data-centric solutions and providing strong architectural designs to develop a workable solution.
Machine Learning Consultancy Documenting Provide 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 industry Delivery of ongoing/ production solutions, not simply one-off analyses Consultancy skills, including ability to shape ambiguous requirements into clearly defined projects Professional experience of more than 2 years Ability to client face and consult Strong Data Science background Strong understanding of probability and statistics Ideally Machine learning (experience of techniques such as linear regression, logistic regression, boosting, k NN)Ideally Python or another language Experience 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, London If 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, No SQL DEVOPS Python Development Operations
Lead Data Science Consultant employer: Quant Capital
Quant Capital is an excellent employer for those looking to thrive in the fintech sector, offering a vibrant work culture that fosters innovation and collaboration. With substantial training and development opportunities, employees can enhance their skills while enjoying a flexible hybrid work model in the heart of London. Join us to be part of a forward-thinking team that values growth and cutting-edge technology.
