Data Scientist
Glasgow, Scotland, United Kingdom
Applications have closed
Bigtincan
Bigtincan's unified sales enablement solutions empower customer-facing teams to increase sales by providing better buying experiences to customers.Are you frustrated your day job doesn’t let you work meaningfully with incredible “game changer” tech?
Yet, they claim innovation is vitally important?
Bigtincan is excited to announce we are growing a technology team focussed entirely on R&D.
We have a fantastic lineup of experiments featuring; Machine Learning, Augmented Reality, Data Modelling, Distributed Systems, Natural Language Processing, ‘Bots, Privacy, Voice Recognition, Semantic Search, Cloud, Mobile and more.
Based in Glasgow, we are recruiting for another scientist to join our team of 6 with immediate interviews available.
FitOur R&D team’s domain is the intersection of maturing technologies and business challenges where there isn’t a clear answer to the question “can this technology help our clients”.
You will contribute to our industrial research and experimental development to generate proof of concept implementations in support of evidence-based answers to that question. Our output informs decision making on product roadmaps, so your work will be deeply significant for Bigtincan and our clients.
You might be used to working in a project environment with a steady trajectory, in maintenance mode perhaps, with some clarity and even certainty about the road ahead. Bigtincan R&D is a different, more interesting and exciting opportunity where we invest time and effort in practical exploration.
It is important to understand that our R&D effort focuses on proving out a vital technology capability and does not take ideas all the way to production. However, we may also offer assistance to production teams on an as-needed basis.
Requirements
- Work closely with the R&D manager and other colleagues to deliver the team’s research outcomes.
- Collaborate effectively with Data Engineers to capture, process and present data.
- Create accurate and efficient predictive data models.
- Ensure data quality and integrity.
- Document work to support commercialisation decisions.
- Deliver knowledge transfer and presentation activities as required.
- Develop an understanding of Bigtincan business contexts and solutions.
- Maintain domain expertise.
- Provide clear, concise and unambiguous communication, both online and face-to-face.
- Be capable of performing duties either remotely or in a professional office environment.
- Demonstrable expertise in statistics, data visualisation and building Machine Learning models
- An informed practitioner, aware of advances and challenges in Data Science
- Experience of building models in challenging data environments
- High calibre collaboration and communication as part of a cross-functional team
- Ability to document and clearly explain choices, challenges and outcomes
- You must be a Scottish Taxpayer OR intend to be.
- Experienced with Python( Essential) AWS, and NLP would be fantastic
Benefits
Bigtincan is a publicly traded Australian company with offices in Europe and the USA.
We offer Software as a Service (SaaS) solutions to deliver intelligent and efficient tools which allow our clients to more successfully manage their sales experiences. Our clients and partners include top-tier global brands across multiple sectors.
Beyond attractive pension; holiday allowance, weekly Uber lunch, stock options and other flexible benefits we continually strive to keep our benefits package tuned to the needs of our staff. We are always open to suggestions and have recently concluded a staff survey to help keep this important area on point.
We have a global engineering presence with opportunities for those who excel to move internally to either our HQ in Sydney or to other offices within Europe.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Distributed Systems Engineering Excel Industrial Machine Learning ML models NLP Python R R&D Research Statistics
Perks/benefits: Career development Equity Flex hours Team events
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