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About the job
Pricing Data Scientist
£90,000 + benefits + bonus
This an exciting new opportunity to join the largest fintech SaaS company! You will be part of a rapidly expanding company in the future of banking, get in early and have your say in the company. As the Pricing Data Scientist in this brandnew team, you will be focusing on applying machine learning to large data sets, setting up models to analyse customer experience. Head up an exploratory Data Science team that implements advanced statistical modelling and machine learning techniques.
This fastgrowing fintech SaaS company is heavily invested in finding the Pricing Data Scientist, who can still remain highly technical in this role whilst building a brandnew data science capability around them. They are looking for someone to head up 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. Joining a culture that drives pioneering ideas in data science within finance.
Although this role involves you heading up their data science function, as a Pricing Data Scientist you will remain very technically hands on in projects. You will be encouraged to lead your own research into creating tailored solutions to technical problems and take on as much or as little responsibility as you feel you can manage, with the opportunity to manage in the near future.
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 Pricing Data Scientist, 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 Linguistics (STEM, Econometrics, etc.)
Strong experience developing and implementing machine learning and NLP algorithms in a nonacademic setting
Experienced in statistical modelling, Bayesian modelling or other statistical methodologies
Expert in NLP methodologies: Word2Vec, sentiment analysis, entity extraction
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
Up to £90,000 + benefits + bonus
Fortnightly meet ups
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!