About the job

Data Science Product Manager

London

£80,000£90,000 + benefits + bonus

This an exciting new opportunity to join the largest fintech company! You will be part of a rapidly expanding company in the future of banking!

Get in early have your say in the company and take on as much responsibility as you want from day one. As the Data Science Product Manager in this brandnew team, you will be focusing on applying machine learning and deep learning to large data sets, building products and setting up models to analyse and optimise these. This is the

THIS COMPANY:

This fastgrowing fintech company is heavily invested in finding the Data Science Product Manager, joining a culture that drives pioneering ideas in data science within finance. In this role, you can have the best of both being highly technical and having ownership over cuttingedge products. They are looking for someone to be a senior member in a brandnew team that will champion a datadriven approach to all business decisions. You will be working closely with teams across other business areas and communicating technical concepts to nontechnical stakeholders.

THE ROLE:

As a Data Science Product manager, you will remain very technically hands on in projects, whilst being encouraged to lead your own research into creating tailored solutions to technical problems in deep learning and AI.

Working with large data sets, building advanced statistical and machine learning models to analyse how customers are using their product and producing insights off the back of this
Applying advanced predictive modelling and machine learning techniques, in Python, to large data sets to set up forecasting
Researching and Experimenting with cuttingedge machine learning techniques using Python
Using SQL for data manipulation
As a Data Science Product Manager, you will be responsible for delivering these insights back to nontechnical management and stakeholders to improve customer acquisition and therefore revenue

YOUR SKILLS AND EXPERIENCE:

MS or PhD in a quantitative field or statistics (STEM, Econometrics, etc.)
Strong experience developing and implementing machine learning and deep learning algorithms in a nonacademic setting
Experienced in statistical modelling, Bayesian modelling or other statistical methodologies
Expert in deep learning methodologies:
Experience with NLTK, Gensim, SpaCy, CoreNLP; Machine Translation experience a plus
Comfortable using neural networks, RNN, CNN, ANN, etc
Proven leader having managed data science teams previously
Knowledge of Big Data packages a plus, Hadoop, Spark, Hive or others
Thorough communicator with technical team, clients and C level management

THE BENEFITS:

Up to £90,000 + benefits + bonus
Fortnightly meet ups
Learning and development budget

HOW TO APPLY:

Please register your interest by sending your CV to Kian Dixon via the Apply link on this page. For more information about similar roles, please get in touch!

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