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For Companies At a Glance
- Tasks: Join a cross-functional team to enhance analytics features and develop machine learning models.
- Company: A rapidly growing software company in Manchester focused on advanced analytics solutions.
- Benefits: Enjoy hybrid working, a competitive salary of £50,000, and bonus potential.
- Why this job: Be part of cutting-edge projects in a collaborative culture that values diversity and innovation.
- Qualifications: Bachelor's or Master's in Computer Science, Mathematics, or related field; proficiency in Python and SQL required.
- Other info: Opportunities for skill development and exposure to big data tools and cloud platforms.
The predicted salary is between 36000 - 60000 £ per year.
A rapidly growing software company based in Manchester, focused on delivering advanced analytics solutions and looking for a Junior Data Scientist to join their Data & Analytics function. As a Junior Data Scientist, you'll be a key member of a cross-functional team, enhancing and developing state-of-the-art features for their platform. Your role will involve preparing and analysing datasets, crafting mathematical and machine learning models, and developing clear visualisations that translate intricate findings into actionable recommendations.
Role Overview
As a Junior Data Scientist, you'll be an integral part of a cross-functional team, enhancing their platform's capabilities. Responsibilities include:
- Preparing, cleaning, and structuring data for model development.
- Investigating patterns, trends, and anomalies within datasets.
- Building and enhancing machine learning algorithms, with guidance from the Lead Data Scientist.
- Presenting findings through clear, informative visualisations.
- Writing and optimising SQL queries for data management and manipulation.
- Collaborating with colleagues across the business to meet objectives using problem-solving skills and sharing innovative approaches.
- Researching and refining innovative solutions with the team.
- Documenting processes and methodologies to aid team learning.
- Communicating results to both technical and non-technical audiences.
- Proactively developing new skills and exploring current methodologies in data science and analytics.
Required Experience
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
- Solid understanding of probability, statistics, and linear algebra.
- Proficiency in Python, including libraries like scikit-learn, pandas, seaborn, and matplotlib.
- Experience writing and optimising SQL queries for data retrieval and manipulation.
Desirable Experience
- Ability to communicate complex insights effectively.
- Detail-oriented with a strong desire to learn and develop within the data science field.
- A portfolio of Data Science projects demonstrating your ability to solve problems with innovative ideas or coding challenges.
- Familiarity with Agile practices in a collaborative team setting.
- Exposure to big data tools, such as Hadoop and Spark, for managing large-scale datasets.
- Experience with cloud platforms like Microsoft Azure.
Why Join?
They have created a super collaborative culture offering a great balance of impact, ownership, support, and coaching. You'll have a superb chance to contribute to cutting-edge projects and shape the future of their sector.
Diversity & Inclusion
Mirai believes in the power of diversity and the importance of an inclusive culture. We welcome applications from individuals of all backgrounds, understanding that a range of perspectives strengthens both our team and our partners' teams. This is just one of the ways that we’re taking positive action to shape a collaborative and diverse future in the workplace.
If you're a driven and talented Junior Data Scientist keen to make a real impact, we encourage you to apply!
Junior Data Scientist employer: Mirai Talent
Contact Detail:
Mirai Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python libraries like scikit-learn and SQL. Having hands-on experience or projects that showcase your skills with these tools can set you apart during the interview process.
✨Tip Number 2
Prepare to discuss your previous data science projects in detail. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your problem-solving skills and your ability to communicate complex insights effectively.
✨Tip Number 3
Network with current employees or alumni from your university who work in similar roles. They can provide valuable insights into the company culture and the expectations for the Junior Data Scientist position, which can help you tailor your approach during interviews.
✨Tip Number 4
Stay updated on the latest trends and methodologies in data science. Being knowledgeable about current developments in the field can help you engage in meaningful discussions during interviews and show your enthusiasm for continuous learning.
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 skills and experiences that align with the Junior Data Scientist role. Emphasise your proficiency in Python, SQL, and any data science projects you've completed.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your understanding of the company's mission. Mention specific projects or experiences that demonstrate your ability to contribute to their team.
Showcase Your Portfolio: If you have a portfolio of data science projects, include a link in your application. Highlight projects that involved machine learning, data visualisation, or innovative problem-solving.
Prepare for Technical Questions: Be ready to discuss your technical skills during the interview process. Brush up on your knowledge of statistics, machine learning algorithms, and SQL queries, as these are likely to come up.
How to prepare for a job interview at Mirai Talent
✨Showcase Your Projects
Prepare to discuss your portfolio of Data Science projects in detail. Highlight specific challenges you faced, the innovative solutions you implemented, and the impact of your work. This will demonstrate your practical skills and problem-solving abilities.
✨Brush Up on Technical Skills
Make sure you're comfortable with Python and its libraries like scikit-learn, pandas, and matplotlib. Be ready to answer technical questions or even solve coding challenges during the interview to showcase your proficiency.
✨Understand the Company’s Focus
Research the company’s analytics solutions and their approach to data science. Understanding their products and how they leverage data will help you tailor your responses and show your genuine interest in the role.
✨Communicate Clearly
Practice explaining complex data insights in simple terms. Since the role involves presenting findings to both technical and non-technical audiences, being able to communicate effectively is crucial.
