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For Companies At a Glance
- Tasks: Lead innovative data science projects and design impactful solutions for diverse businesses.
- Company: Join Ascent, a digital transformation leader specializing in data science and software development.
- Benefits: Enjoy hybrid work options, professional development support, and a vibrant office community.
- Why this job: Shape the future of data science while collaborating with top minds in a supportive environment.
- Qualifications: 5+ years of data science experience and fluency in R and SQL required.
- Other info: Ascent values inclusion and offers well-being resources for a balanced work-life.
The predicted salary is between 48000 - 84000 £ per year.
Data Science function hiring in: United Kingdom
Work Preference Option(s): Hybrid | Work From Home
This is a perfect opportunity for ambitious individuals to join a team of curious minds and supportive peers with a passion 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 central offices in Bristol and London. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. Join us in shaping a workplace where proximity enhances collaboration while inclusivity strengthens our community.
About the role
Senior Data Scientists are the driving force in delivering innovative and high-quality data science projects for our customers. 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 team is a multi-disciplined group working alongside 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.
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 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
Responsibilities
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 delivering 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
Other
- Manage junior members in a line manager capacity
- Promote Ascent publicly via blogging and 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
- Consultative and business-minded
- Detail-oriented
- Analytical approach to problem-solving
- Sense of responsibility
- Critical and constructive thinking
- Logical and methodical reasoning
- Communicate with clarity and purpose
And these skills:
Required
- Fluent in R for data science
- Fluent in SQL (any flavor) for analysis
- Experienced in applying a broad range of data science techniques to solutions in business process and systems, including data visualization, package development, machine learning algorithms, NLP, Shiny/Dash, optimization, deep learning, reinforcement learning
- Daily use of git
Highly Desirable
- Competence in Python for data science
- Deploying data science solutions on a cloud platform, including MLOps (CI/CD, Feature Store, drift monitoring, MLflow, DVC, Docker, Kubernetes) and webapp (Azure App Services, Azure Web Apps); Azure ML and MSFT Certificate
- Experience in pharmaceutical data science
- Experience with Generative AI (GenAI) and Large Language Models (LLM)
- Algorithm design experience
- Data architecture knowledge
- API design and deployment experience
- NoSQL DB experience
Beneficial and Others
- DBA experience
Qualifications
- 5+ years of data science experience
- Right to work in the UK and/or EU
- Azure Data Science Associate Certificate is desirable
Working at Ascent
At Ascent we promote a healthy work-life balance by offering flexibility in 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’ll 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.
If you have any questions contact our Talent Acquisition team on
#J-18808-Ljbffr
Senior Data Scientist (R, R Shiny) employer: Tekaris GmbH
Contact Detail:
Tekaris GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (R, R Shiny)
✨Tip Number 1
Make sure to showcase your experience with R and R Shiny in your conversations. Highlight specific projects where you've successfully implemented data science solutions, as this will resonate well with the team at Ascent.
✨Tip Number 2
Familiarize yourself with the latest trends in data science and cloud technologies, especially Azure. Being able to discuss recent advancements or tools can demonstrate your commitment to staying current in the field.
✨Tip Number 3
Prepare to discuss how you can create business impact through data science. Think of examples where your work has directly influenced KPIs or improved processes, as this aligns with Ascent's focus on delivering value.
✨Tip Number 4
Engage with the data science community by attending relevant conferences or participating in open-source projects. This not only builds your network but also shows your proactive approach to learning and sharing knowledge.
We think you need these skills to ace Senior Data Scientist (R, R Shiny)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with R, SQL, and any relevant data science techniques. Emphasize your ability to deliver business impact through data solutions, as this aligns with the company's mission.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it can create value for businesses. Mention specific projects or experiences that demonstrate your analytical skills and ability to work in a team.
Showcase Relevant Projects: Include examples of past projects where you applied data science techniques, especially those involving machine learning, data visualization, or cloud deployment. This will illustrate your hands-on experience and problem-solving abilities.
Highlight Soft Skills: As the role requires communication with both technical and non-technical audiences, emphasize your ability to convey complex ideas clearly. Mention any experience mentoring others or leading teams, as this is a key aspect of the position.
How to prepare for a job interview at Tekaris GmbH
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in R and SQL, as well as your experience with data science techniques. Bring examples of past projects where you applied these skills to solve real business problems.
✨Demonstrate Business Acumen
Highlight your understanding of how data science can create business impact. Be ready to discuss specific instances where your work has influenced key performance indicators (KPIs) for previous employers.
✨Communicate Clearly
Practice explaining complex data science concepts in simple terms. You may need to present your work to both technical and non-technical audiences, so clarity is key.
✨Emphasize Collaboration and Mentorship
As a Senior Data Scientist, you'll be expected to guide junior team members. Share your experiences in mentoring or collaborating with others, and how you foster a positive team environment.
