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

About 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 the 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.

What you'll do

• Using strong business acumen and a solid understanding of data science use cases, author and refine project technical specifications 
• Relentlessly focus on creating value and delivering actionable insight 
• Apply statistical rigour and computational efficiency in project delivery 
• Design and implement end-to-end data pipelines fit for the purpose 
• Communicate frequently and appropriately during the delivery process 

You will Present work to technical and non-technical audiences, support Sales by participating in the pre-sales process and contributing to proposals, manage junior members in a Team Lead capacity and promote Ascent/Mango publicly via blogging, and conferencing. Also, you will deliver internal training and knowledge sharing, keep up to date with relevant technologies and current trends and travel for work as required.

Skills and Experience

A successful candidate will demonstrate these traits: 

• Curious inquisitive and thoughtful 
• Detail orientated and pragmatic approach to problem-solving 
• Sense of responsibility and critical and constructive thinking 
• Logical and systematic reasoning and communication with clarity and purpose 

You need to be fluent in either R or Python for data science, and fluent in SQL (any flavour) for analysis; DBA experience is desirable. Experienced in applying a broad range of data science techniques, including data manipulation, visualization, package development, machine learning algorithms, NLP, Shiny / Dash, deep learning, and reinforcement learning. Also, you need to be highly skilled in at least 2 categories from the above, e.g. for R package development, functional programming principles, documentation best practice, internal and external data management, unit tests, CI, pkgdown; and for NLP, word stemming, topic modelling, word2vec, n-gram, text classification, word embeddings, sentiment modelling, tf–IDF, BERT. Azure Data Science Associate Certificate is desirable 

It is important to have the Right to work in the UK and/or the EU.

Working at Ascent

This is a hybrid role, where you can spend time at the office or work from home. This is a company where your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review.

Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status. If you require any reasonable accommodation, please let us know when you apply.