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- Tasks: Join our data science team to tackle real-world problems using AI and machine learning.
- Company: We are a forward-thinking company dedicated to transforming industries through innovative data solutions.
- Benefits: Enjoy flexible working options, competitive pay, and opportunities for professional growth.
- Why this job: Be part of a dynamic team that values creativity and collaboration while making a tangible impact.
- Qualifications: Familiarity with R, Python, SQL, and a passion for data science is essential.
- Other info: This role offers the chance to work with diverse clients and cutting-edge technology.
The predicted salary is between 28800 - 48000 £ per year.
Responsibilities:
- Experience in one or some of - statistical modelling, machine learning, AI, data science, forecasting, optimization.
- Programming skills/concepts and the ability to pick up new technology with ease.
- Prior experience in R, Python and/or other statistical tools/languages are a plus.
- Familiarity with relational databases and intermediate level knowledge of SQL are a big bonus as you’ll be working with different datasets.
- Sound understanding of a wide range of statistical techniques.
- The ability to understand and present findings to a non-technical audience.
- Prior experience in data visualization and/or deriving insight from a wide variety of data sources is a plus.
- To work with customers across multiple sectors; applying the latest research and technology to overcome real life commercial problems.
- Work as a key part of the data science team, who shape our products and drive growth by transforming how our customers operate.
- Interfacing with diverse people and situations - from academic experts to being onsite with our customers; this position requires a high degree of independence and responsibility.
- Expertise in machine learning, data science and AI.
- An essential part of the role will involve keeping up-to-date with technological developments and research in the area.
- Ability to communicate your understanding and findings clearly to experts in other disciplines.
Junior Data Scientist employer: Ubique Systems
Contact Detail:
Ubique Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and AI. Follow relevant blogs, podcasts, and research papers to stay updated, as this will not only enhance your knowledge but also show your passion for the field during interviews.
✨Tip Number 2
Practice explaining complex data concepts in simple terms. Since you'll need to present findings to non-technical audiences, honing this skill can set you apart and demonstrate your ability to communicate effectively.
✨Tip Number 3
Engage with online communities or forums related to data science. Networking with professionals in the field can provide insights into the industry and may even lead to referrals or recommendations for job openings.
✨Tip Number 4
Build a portfolio showcasing your projects in R, Python, or SQL. Having tangible examples of your work can significantly boost your chances of landing the job, as it demonstrates your practical skills and experience.
We think you need these skills to ace Junior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in statistical modelling, machine learning, and data science. Include specific projects or coursework that demonstrate your programming skills in R, Python, or SQL.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and how your skills align with the responsibilities outlined in the job description. Mention your ability to communicate findings to non-technical audiences and any experience you have in data visualisation.
Showcase Your Technical Skills: If you have experience with relational databases or specific statistical tools, be sure to mention these in your application. Highlight any projects where you've applied these skills to solve real-world problems.
Prepare for Interviews: Be ready to discuss your understanding of statistical techniques and how you stay updated with technological developments in data science. Prepare examples of how you've worked independently and collaborated with diverse teams.
How to prepare for a job interview at Ubique Systems
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like R and Python. Highlight any projects where you've applied statistical modelling or machine learning techniques, as this will demonstrate your technical proficiency.
✨Understand the Business Context
Research the company and its industry to understand the commercial problems they face. Be ready to discuss how your data science skills can help solve these issues, showing that you can apply your knowledge in a practical setting.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. Since you'll need to present findings to non-technical audiences, being able to communicate effectively is crucial. Use examples from past experiences to illustrate your points.
✨Demonstrate Continuous Learning
Stay updated on the latest trends in data science and AI. Mention any recent courses, workshops, or research you've engaged with. This shows your commitment to professional growth and your ability to adapt to new technologies.
