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- Tasks: Join a dynamic team to analyse data and support operations with insightful reports.
- Company: A rapidly growing organisation near Birmingham, focused on data science and technology.
- Benefits: Enjoy a supportive culture, opportunities for growth, and a relaxed work environment.
- Why this job: Make a real impact in a close-knit team while developing your analytical skills.
- Qualifications: Numerical degree (min 2:1), knowledge of Python, and understanding of machine learning techniques.
- Other info: Ideal for self-motivated graduates eager to progress in a tech-driven field.
The predicted salary is between 28800 - 48000 £ per year.
This is a fantastic opportunity to join an organisation based near Birmingham that has recently expanded its data science department and is looking to bring on junior members to train and progress through the company. This is an ideal opportunity if you have graduated with a numerical-related degree and are looking to develop your career in an analytical field. This role offers a fantastic opportunity for a self-motivated, highly numerate graduate to make a significant difference within a well-established and rapidly growing organisation. The culture is close-knit, supportive, relaxed, and technology-driven. It is a great place to work.
What you’ll be doing:
- Proactively and collaboratively develop analysis and insight to support operations.
- Report-making to help deliver optimal management decisions.
- Identify, quantify, and prioritise opportunities to enhance operational efficiency and produce world-class deliverables fit for a world-class operation to drive continuous improvement.
- Apply analytical and technical ability to ensure the team delivers the highest standards of analysis and reporting to key stakeholders.
Requirements:
- Numeric degree ideally to Masters level (min 2:1).
- Working knowledge of Python, Pandas, NumPy, PyTest, Java, and R.
- Understanding of machine learning techniques, such as clustering, classification, and regression.
- Previous experience presenting information to key stakeholders.
Nice to haves:
- Previous experience using Generalised Linear Regression Modelling.
- Knowledge of Bayesian Statistics and Monte Carlo Simulation.
- Experience with Azure: Azure Databases, Azure Databricks.
- Proficient use of VBA.
Junior Data Scientist employer: Agility Resoucing
Contact Detail:
Agility Resoucing 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, Pandas, and R. Consider working on personal projects or contributing to open-source projects that utilise these technologies to showcase your skills.
✨Tip Number 2
Network with professionals in the data science field, especially those who work in similar roles. Attend local meetups or online webinars to connect with others and gain insights into the industry, which can help you during interviews.
✨Tip Number 3
Prepare to discuss your analytical thinking and problem-solving skills during the interview. Think of examples from your academic projects or internships where you successfully applied these skills, as they will be crucial for the role.
✨Tip Number 4
Research the company culture and values to understand what they prioritise in their employees. Be ready to articulate how your personal values align with theirs, as this can make a strong impression during the interview process.
We think you need these skills to ace Junior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your numerical-related degree and any relevant coursework or projects. Emphasise your knowledge of Python, R, and any machine learning techniques you've studied or applied.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific skills that align with the job description, such as your experience with data analysis and reporting, and how you can contribute to their operations.
Showcase Relevant Experience: If you have any previous experience presenting information to stakeholders or working on data-driven projects, be sure to include this in your application. Use concrete examples to demonstrate your analytical abilities.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in a data-driven role.
How to prepare for a job interview at Agility Resoucing
✨Showcase Your Analytical Skills
Be prepared to discuss your analytical projects or coursework in detail. Highlight how you applied your knowledge of Python, Pandas, and other relevant tools to solve problems or derive insights.
✨Understand the Company Culture
Research the organisation's culture and values. Since they emphasise a close-knit and supportive environment, be ready to demonstrate how you can contribute positively to their team dynamics.
✨Prepare for Technical Questions
Brush up on your understanding of machine learning techniques and statistical methods. Expect questions that assess your knowledge of clustering, classification, regression, and possibly even Bayesian statistics.
✨Practice Your Presentation Skills
Since previous experience presenting to stakeholders is valued, practice explaining complex data insights clearly and concisely. Use examples from your past experiences to illustrate your communication skills.
