Senior Data Scientist  

Basic requirements

• Minimum of 3 years hands on experience in one or more of the AI technologies:
• Machine/Deep Learning – machine learning algorithms and platforms, neural network
• Language – Natural Language Processing, machine translation, emotion detection, language detection, classification
• Vision – computer vision, object recognition/tracking, face/gender/age/emotion recognition, OCR/handwriting recognition
• Sound – audio processing, Speech To Text/ Diarization, speech recognition, text to speech, emotion detection, language detection, sound recognition, gender/age detection, speaker detection
• AI solutions – Virtual Agents, Robotic Process Automation, intelligent case processing, Video Analytics, Unique Identity/ biometrics, inference engines, stream monitoring, intelligent search, ontologies/knowledge representations
• Knowledge and experience in some of the key AI platform, e.g. IBM Watson, Microsoft Azure, Googly Api.Ai, Facebook Wit.Ai etc
• Knowledge and experience of key machine learning and deep learning framework, e.g. Tensorflow, Caffe, CNTK etc
• Knowledge of banking, insurance or capital markets and how AI could be applied to the industry
• Minimum of 5 years of experience in working at major Technology Consulting firms, Technology firms or with Financial Services firms on leading edge technology projects
• Doctoral / Master degree in Computer Science, Engineering, Mathematics, Statistics or AI is highly preferred

Preferred requirements

• Communications – strong written and oral communications skills; ability to establish credibility.
• Innovation and/or Entrepreneurial – ownership, initiation and incubation of new ideas and concepts on school / work projects. Desire to create practical new business applications based on innovative technologies.
• Leadership / Management –experience in team work and possibly in managing small teams.
• Very good interpersonal and communication skills
• Strong ability to present with confidence in front of an audience
• Team spirit and problem solving ability, ability to work independently
• Strong interest in leading edge technology, and in user experience/usability
• Willingness to learn deep technical skills and apply them to the business of our clients
• Global mind set; previous international experience is a plus
• Creativity and the ability to propose and drive idea realization

• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modeling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams
• Participate in the development of our AI solutions and future state products and offerings, leveraging and expanding your expertise and skills in this domain and contributing to the growth of InnoVantage’s AI business