Data Scientist (R Developer)

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.
 

About Us 

We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. 

We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. 

We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too! 

At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our offices. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. However, we welcome applicants from all other areas in the indicated countries, as we value diversity and recognize the unique perspectives each individual brings to our team. Join us in shaping a workplace where proximity enhances collaboration while inclusivity strengthens our community. 

About the role

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.
The 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 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 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 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 Azure offerings and get certified
• Attend and present in high profile conferences
• Contribute to open source projects

• Develop data science solutions for our customers.
• Plan, develop, test, and document code, ensuring quality and maintainability.
• Communicate progress clearly and present outcomes to both technical and non-technical stakeholders.
• Design and build robust data pipelines using statistical and computational best practices.
• A likely starting project is developing R package and participate in Agile ceremonies as part of the clinical reporting team.

• Line manage and mentor junior team members, supporting their growth and development.
• Deliver internal training sessions and actively share knowledge across the team.
• Support pre-sales efforts by contributing to proposals and client discussions.
• Represent the company externally through blogs, talks, and conferences.
• Stay current with emerging technologies and trends relevant to the role.
• Travel as needed to support project delivery and client engagement.

• Expert and in-depth knowledge in R; competence in Python is desirable
• Expert and in-depth knowledge of R package development, clinical and statistical programming experience is desirable
• Experienced in CI/CD pipeline for package build checks, environment setup and dependency management
• Fluent in SQL (any flavour) for analysis; DBA experience is beneficial
• Highly skilled in data science techniques such as data visualisation, package development, machine learning algorithms, NLP, Shiny, from implementing solutions in business processes and systems
• Daily use of git
• Experienced in cloud deployment for ML models, API and webapps / dashboards; Azure cloud platform is highly desirable
• MLOps is highly desirable, e.g. 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 is desirable
• Big data (e.g. Spark) experience is desirable
• NoSQL DB experience is desirable

• 5+ years of data science and R development experience
• Azure Data Science Associate Certificate is desirable

Working at Ascent  

At Ascent we promote a healthy work-life balance by offering flexibility where you work.  We also promote well-being and provide access to Well Being Coaches.

Your development and learning will be taken seriously, and we will support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries.

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.