Niall Caton 👔 Email & Phone Number

I am a Director at Ingenii Search, a niche search firm delivering talent globally into technical Technology, Data Science, Quant, Transformation and Risk markets. Throughout my career I have been part of award-winning recruitment firms and personally delivered talent globally within the candidate short markets of Data Science, Analytics and the specialist areas of Finance and Transformation. We are excited to combine our network of over 20 years, to create a client-oriented, service focused search firm that puts collaboration and partnership at its heart.But we won’t just take assignments and fill roles. We’ll act as your consultancy partner, providing proactive specialist advice based on our experience and market knowledge, challenging and proposing alternative strategies if appropriate.We’re ambitious about our success, and we’re passionate about yours. If you have a specialist, senior level or executive leadership role, or you are looking for your next career step in Data Science, Data Analytics or Finance/Transformation, please email me on niall.caton@ingeniisearch.com for a warm welcome and chat about your requirements. Recent CXO level search and Data Science assignments over the last 12 months include: Director, Data Science, Lead Data Scientist, Chief Data Officer, Senior Finance VP Toronto, Global CFO. Roles located in London, New York, Boston, San Francisco and Chicago.Specialties:Geospatial/Network Analysis, Computer Vision/ Image Processing, Agent Based Modelling (ABM), Machine learning – Supervised, Unsupervised, Deep Learning, Natural Language Processing (NLP)/ Voice Recognition/Virtual Reality/Augmented Reality,Artificial Intelligence (AI), Big Data, Robotic Automation Processing, API Development and Blockchain, ACCA, ACA, CIMA, CFO’s, FD’s, GFC. Common technologies that we would generally recruit for and I have an understanding of, include: Hadoop, Spark, Kafka, HBase, Hive, Pig, Cassandra, Sqoop, Flume, Elasticsearch, ETL, Scala, Python, R, Machine Learning, Pandas, NumPy, SciKitLearn, Tensorflow, Keras, Theano, AI, NLP and Deep Learning.

Listed skills include Leadership, Consulting, Human Resources, Sports, and 16 others.