Job Detail

Data Scientist

  • Job typeJob type: Remote
  • Job DurationMore than 06 months
  • Project LevelMedium Level
  • Project deadlineExpired

Project detail

Key Areas of Responsibility:

  • Using the FNA platform and scripting language, identify hidden behavioural patterns and interconnections in large datasets, helping to create breakthrough solutions, performing exploratory and targeted data analyses as part of quantitative services engagements or proof of concepts. This will be achieved both remotely and on-site with clients
  • With time, the Data Scientist will be customer facing to develop and present customer specific use cases clearly and concisely, communicate analyses, recommendations, status and results to existing customers and prospects at business management and executive level
  • You will be heavily involved in the research and development of new use-cases, either as part of our product road-map or based on specific customer requirements
  • Partner with cross-functional teams to solve business problems at scale and identify trends/opportunities for the customers
  • Customer Excellence – Effectively help to resolve relevant customer support requests in a professional and timely manner

Required profile:

  • The right candidates will have experience and knowledge of Machine Learning concepts and will be allowed the freedom to explore new concepts to help develop future products
  • You’ve executed in highly complex situations, delivered measurable business value, and exhibit strategic business acumen
  • 2+ years commercial experience as a Data Scientist
  • 2+ years experience with machine learning and predictive modeling within large datasets
  • 2+ years experience with R/Python/MatLab/SQL or similar
  • Experience on projects applying network science/graph analytics
  • You have excellent analytical and problem-solving skills using a range of data analysis or statistical techniques
  • Passion and curiosity for what is happening within RegTech/FinTech/SupTech, Big Data, Graph Databases, Data Analysis and especially Graph Analytics
  • The right candidate will be naturally inquisitive, analytical and have good attention to detail. You should have the ability to communicate technical findings to non-technical personnel and not be afraid to present creative, data-driven ideas to stakeholders
  • You like to get things done with speed and efficiency
  • Business level written and spoken English is a minimum
  • Ability to travel approximately 25% of the time (Domestic and International)

Nice To Haves:

  • MS or PhD level qualification in mathematics, statistics, physics, engineering or related applied quantitative field
  • Bi-lingual business-level language capability

Skills Required

Languages required

Freelancer type required for this project