Senior Data Scientist
Data Science function hiring in: United Kingdom
Engagement Option(s): Full Time
Work Preference Option(s): Hybrid | In Office | Work From Home

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 customers. With the Mango Solutions DNA in data science community engagement and a culture of learning and development, our end-to-end data capabilities are further strengthened as part of Ascent. 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.

Digital Services is a multi-disciplined team working alongside of the Engineering Group (software, platform, and data engineering). Data Science as a mature practice is dedicated to the business application of a wide range of data science techniques and industry best practices, requiring the know-how to apply the most relevant and up-to-date methodology to domain-specific challenges.

As a Senior Data Scientist, you will work as part of a team that designs and implements data science solutions for businesses, using 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
  • Shape and design solutions for customers that impact business KPIs
  • Contribute to a collective knowledge pool and gain an appreciation
  • Work on a variety of businesses and problems, with data of all shapes 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 Azure offerings and get certified
  • Attend and present at high-profile conferences
  • Contribute to open-source projects



Primary Duties

  • Using strong business acumen and a solid understanding of data science use cases, author and refine project technical specifications
  • Relentlessly focus on creating business impact and delivery value
  • 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 the delivery process
  • 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 line manager capacity
  • Promote Ascent 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



A successful candidate will demonstrate these traits:

  • Curious and inquisitive
  • Thoughtful
  • Consultative and business-minded
  • 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; competence in both is desirable
  • Fluent in SQL (any flavor) for analysis; DBA experience is desirable
  • Experienced in applying a broad range of data science techniques, including data visualization, package development, machine learning algorithms, NLP, Shiny / Dash, optimization, deep learning, reinforcement learning
  • Highly skilled in at least 2 categories from the above from implementing solutions in business processes and systems
  • Daily use of git
  • Experienced in deploying solutions such as ML models, API, and dashboards
  • Deploying data science solutions on a cloud platform; Azure ML and MSFT Certificate are highly desirable
  • MLOps is highly desirable, e.g. CI/CD, Feature Store, drift monitoring, MLflow, DVC, Docker, Kubernetes
  • Software development experience is desirable
  • Algorithm design experience is desirable
  • Data architecture knowledge is desirable
  • API design and deployment experience are desirable
  • Big data (e.g. Spark) experience is desirable
  • NoSQL DB experience is desirable



  • 5+ years of data science experience
  • Right to work in UK and/or EU
  • Azure Data Science Associate Certificate is desirable


Working at Ascent 

We work mostly from home, but we love to meet and mingle. Essentially you choose the pattern that works best for you. If you prefer to work from home, that's fine. If you prefer to work from an office, or a combination, that is fine as well.  

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

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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Career Progression


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