As Google Cloud's premier partner in AI, we provide world-class businesses with cutting-edge data solutions in the cloud. We help clients take leading technology to the limits by combining our expertise in machine learning, data engineering, and analytics. With Google Cloud as our foundation, we help businesses future-proof their solutions, deepen their understanding of consumers, increase competitive advantage and unlock operational efficiencies.
Our team consists of experts in machine learning, data science, software engineering, mathematics, and design. We share a passion for data & analysis, operate at the cutting edge, and believe in a pragmatic approach to solving hard problems.
We're looking for a Data Scientist to unleash the power of data with our customers. You'll be working closely with our partners and customers on the most exciting data projects: product recommender systems, IoT data analysis, segmenting user behaviour profiles with web analytics data, geo-spatial analysis with billions of datapoints and many more.
You will be part of a growing and agile team that works on projects across various business sectors including media, telecommunication, finance and e-commerce. Working closely together with our data engineers and machine learning experts you will be helping us to build our next-generation analytics products.
To be successful, you will need advanced analytic skills to find relationships, models, and statistical associations between massive data sets. You will have natural curiosity to dig into unknowns, unearth insights buried in data, and provide practical conclusions. Furthermore, you will also have the ability to tackle a project on your own and drive its progress from the initial brainstorm to the delivery of a production ready solution.
Requirements
- 2+ years experience in a Data Scientist position
- MSc or higher in a quantitative STEM subject such as Computer Science, Mathematics and Physics
- Strong background in Linear Algebra, Statistics and Numerical Mathematics
- Strong proficiency in Python and the Python data ecosystem including Numpy, Pandas, Scikit-learn
- Experience designing, conducting, analysing, and interpreting experiments and investigations
- Fluency in SQL
- Excellent problem solving, critical thinking, creativity, organizational, design, and communication skills; ability to interact with all levels of engineers
- Curiosity about new developments in ML and deep learning
- Excellent knowledge of numerical optimisation techniques and ML algorithms
- Strong communication skills and comfortable in a client-facing environment
Bonus Points:
- Knowledge on scaling computations (Spark, GPUs, MPI)
- Familiarity with cloud environments (AWS, GCP, Azure)
- Experience with TensorFlow and Keras
Benefits:
The Basics: 25 days holiday + bank holidays, Private Healthcare, Discounted Gym Membership (Nuffield + Hussle), Life Insurance, Income Protection, Employee Assistance Program, Pension Scheme 3% employee contribution on qualifying earnings, rising 1% per year of service to max 10%.
Extras: £100 home equipment allowance, Cycle to Work & Tech Scheme
Learning: Datatonic encourages continuous learning at all levels, with the freedom to explore the latest tools & technologies. You will receive an individual training budget and/or conference allowance
Team: Career Development, Impact, Innovation. A personalised development plan to ensure you hit your professional goals with a clear roadmap for progression. Experiment and bring forward ideas, create impactful and meaningful work in a creative & collaborative environment - even just for fun!
Office: A modern, collaborative, working space set in the innovation hub of Canary Wharf with panoramic views of London. Plus regular social events & team off-sites.
Datatonic is an equal-opportunity employer. We're committed to building an inclusive team that welcomes a diversity of perspectives, people, and backgrounds regardless of race, colour, national origin, gender, sexual orientation, age, religion, disability, citizenship, veteran status, or any other protected status. Our current team is made up of folks from very different backgrounds, including a former librarian, oceanographer and comic bookstore owner! If you are on the fence about whether you meet our requirements, we encourage you to apply anyway. Please reach out to us directly at join@datatonic.com if you need assistance or accommodation due to disability.
