This is a perfect opportunity for individuals with a drive and determination to become part of an innovative and energetic team driving value from data.
About the role
Data Scientists are the driving force in delivering innovative and high-quality data science projects for our clients. In 2020 Mango was acquired by Horizon Capital and now operates as part of the Ascent Software Group. Aligning Software with Data provides a powerful platform through which we engage some of the world’s leading brands in long term strategic digital transformation.
The Data Practice (including Data Science, Data Engineering, BI and Analytics, and Data Design) is a multi-disciplinary team of data professionals working across functions to provide end-to-end data solutions for our clients. Data Science as a mature function in Data is dedicated to business application of a wide range of data science techniques and industry best practices, requiring the know-how of applying the most relevant and up-to-date methodology to domain specific challenges.
As a Data Scientist, you will work as part of a team that designs and implements data science solutions for businesses, using the most suitable methodology and programming languages, confidently assuming responsibility for technical specifications. You will have the opportunity to;
- Work as part of a multi-skilled delivery team on client engagements
- Quickly learn and apply skills to real business challenges
- Contribute to a collective knowledge pool and gain appreciation
- Work on a variety of businesses and problems, with data of all shape and sizes
- Be supported by the wider Data practice and a collective knowledge pool
- Keep up to date on the latest technologies, techniques, and best practices
- Work with the latest cloud platform offerings (e.g. Azure), data science and machine learning languages (e.g. R, Python)
- Attend and present in high profile conferences
- Contribute to open source projects
Responsibilities
Primary Duties
- Implement data science solutions and support end-to-end pipelines
- Challenge solution design and methodology with innovative ideas
- Apply statistical rigor and computational efficiency in project delivery
- Communicate progress and challenges proactively with team and project leads
- Present work to technical and non-technical audiences
Other
- Promote Ascent/Mango publicly via blogging, conferencing
- Share knowledge internally
- Keep up to date with relevant technologies and current trends
- Travel for work as required
Requirements
A successful candidate will demonstrate these traits:
- Curious and inquisitive
- Thoughtful
- Detail orientated
- Pragmatic approach to problem-solving
- Sense of responsibility
- Critical and constructive thinking
- Logical and methodical reasoning
- Communicate with clarity and purpose
And these skills;
- Fluent in R and RShiny
- Fluent in SQL (any flavour) for analysis; DBA experience is desirable
- Experienced in applying some of the data science techniques to project work, including data manipulation, visualisation, package development, machine learning algorithms, NLP, Shiny / Dash, deep learning, reinforcement learning
- Some knowledge of DevOps/MLOps concepts
- Daily use of git is highly desirable
- Cloud computing such as Azure is desirable
- Software development experience is desirable
- Data architecture knowledge is desirable
- API design and deployment experience is desirable
- Big data (e.g. Spark) experience is desirable
- NoSQL DB experience is desirable
Qualifications;
- 2+ years of data science experience
- Right to work in UK and/or EU
- Azure Data Science Associate Certificate is desirable