Senior Data Scientist in UK

Welcome to an exciting opportunity where ambitious individuals are invited to join a team of inquisitive minds and supportive peers, all driven by a shared passion and diverse skills aimed at creating value for businesses through data.

As part of our team, you'll be tasked with:

Here at Ascent, we believe that using data in the right way doesn't just help companies perform better; it transforms entire industries.

You'll help world-leading brands transform the way their industries work and be at the heart of our growing business.

As a Data Scientist, you will work as part of a team that designs and implements data science solutions for our customers, providing opinionated view and a consultative approach to drive the best outcome for the customer, using suitable methodology, programming languages and infrastructure, confidently assuming responsibility for technical specifications.

Your role will involve but not limited to:

• 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 rigor 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
• 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 publicly via blogging, and conferencing
• Keep up to date with relevant technologies and current trends and travel for work as required

We are looking for passionate and driven individuals with:

• You need to be fluent in either R or Python for data science, and fluent in SQL (any flavor) for analysis;
• 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.
• Highly skilled in R package development, functional programming principles, documentation best practices, internal and external data management, unit tests, CI; f
• NLP, word stemming, topic modelling, word2vec, n-gram, text classification, word embeddings, sentiment modelling, tf–IDF, BERT. Azure Data Science Associate Certificate is desirable
• Curious and inquisitive and thoughtful
• Detail orientated and pragmatic approach to problem-solving
• Sense of responsibility and critical and constructive thinking
• Logical and methodical reasoning and communication with clarity and purpose

Insight into Ascent:

At Ascent, we're all about connecting data, software, and purpose to achieve remarkable outcomes.

Our focus is on facilitating digital transformation by helping our clients solve problems, innovate, and improve existing processes.

As a growing company, we offer numerous opportunities for you to make a difference within your career and your team as well as the broader business.

Collaboration and support are at the core of our culture, and you'll have the chance to work on exciting projects alongside talented colleagues and be a part of one of our many communities.

We embrace a hybrid working model, dependent on the role's key focuses and needs we provide flexibility for you to work from the office, meet with clients as required, or work remotely in a manner that suits your preferences and productivity.

Along with a competitive salary commensurate with your experience, we offer 25 days of annual leave, in addition to public holidays, a contributory pension plan, and other essential benefits.

At Ascent, diversity and inclusion are fundamental principles that guide our actions.

We are committed to fostering an environment where everyone is valued and respected, regardless of 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 need any reasonable accommodations during the application process, please inform us.