Senior Data Scientist
Remote
Full Time
Posted: 2021-05-11

This is a perfect opportunity for ambitious individuals to join a team of curious minds and supporting peers with a passion and the skills for creating value for businesses using data.

The Role 

Senior 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 hands-on Senior Data Scientist, you will design and implement 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 Data practice and a collective knowledge pool 

  • Guide and mentor junior members of the team on and off projects 

  • 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 

  • Using strong business acumen and solid understanding of data science use cases, author and refine project technical specifications 

  • Relentlessly focus on creating value and delivering actionable insight 

  • Apply statistical rigor and computational efficiency in project delivery 

  • Design and implement end-to-end data pipelines fit for purpose 

  • Communicate frequently and appropriately during delivery process 

  • Present work to technical and non-technical audiences 

  • Support Sales by participating in pre-sales process and contributing to proposals 

Other 

  • Manage junior members in a Team Lead capacity 

  • Promote Ascent/Mango publicly via blogging, conferencing 

  • Deliver internal training and knowledge sharing 

  • 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 either R or Python for data science 

  • Fluent in SQL (any flavour) for analysis; DBA experience is desirable  

  • Experienced in applying a broad range of data science techniques, including data manipulation, visualisation, package development, machine learning algorithms, NLP, Shiny / Dash, deep learning, reinforcement learning 

  • Highly skilled in at least 2 categories from the above, e.g. 1) for R package development, functional programming principles, documentation best practice, internal and external data management, unit tests, CI, pkgdown; 2) for NLP, word stemming, topic modelling, word2vec, n-gram, text classification, word embeddings, sentiment modelling, tf–idf, BERT 

  • Daily use of git 

  • Experienced in deploying solutions such as ML models, API and dashboards 

  • Cloud computing; Azure is desirable 

  • DevOps/MLOps are highly desirable, e.g. CI/CD, DVC, Docker, Kubernetes 

  • 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 

  • 5+ years of data science experience 

  • Right to work in UK and/or EU 

  • Azure Data Science Associate Certificate is desirable 

 

Career progression Section

Why join Ascent?

We’re fast becoming a leading European digital transformation business.

Joining Ascent means you’ll be involved in delivering exciting technology projects for leading global brands. You’ll be part of a growing team of super-talented people who are actively choosing to join us on our journey rather than working in big corporates.

Your voice matters at Ascent. We are always keen to hear your opinions and those ideas that come to you at 3am (some of them are definitely as good as they seemed at the time). You’ll develop your talent through our internal Academy, providing a wide range of personal development, up-skilling and cross-skilling opportunities.

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