Junior Data Scientist

Junior Data Scientist

Leicester Full-Time 28800 - 48000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Dive into data, build models, and turn insights into action with a supportive team.
  • Company: Join PA Housing, where we prioritise people and strive for a data-informed future.
  • Benefits: Enjoy flexible working, health cash plans, and 26 days of annual leave, increasing with tenure.
  • Why this job: Be part of an exciting journey in data science, solving real-world problems and making an impact.
  • Qualifications: Degree in data science or related field; familiarity with Python, SQL, and machine learning is a plus.
  • Other info: Opportunity for hybrid working and a nine-day fortnight scheme for better work-life balance.

The predicted salary is between 28800 - 48000 £ per year.

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Are you a curious problem-solver ready to explore the power of data?
We’re excited to be launching a brand-new data science capability at PA Housing and we’re looking for a Junior Data Scientist to join us at the start of this exciting journey. If you’re passionate about data, enjoy solving real-world problems, and want to help shape a more data-informed future, this could be your perfect next step.

This role is all about making sense of data, finding trends, building predictive models, and turning insights into action all while learning and growing in a supportive and forward-thinking team.

What’s in it for you.

In addition to the salary, we offer a number of benefits, including:

  • Health cash plans
  • 26 days’ annual leave, increasing to 29 after three years, with the opportunity to buy more
  • Flexible bank holidays take them when it suits you
  • Car leasing scheme
  • Hybrid working offering you the flexibility to thrive in your role. You\’ll have the opportunity to blend the best of both worlds, spending approximately two to three days per week in the office once settled in the role. This is flexible and depends on meeting cycles and board activity.
  • Flexible working – We also offer an optional nine-day fortnight scheme, allowing you to compress your hours if it suits the role.

What you’ll be doing

  • Visualise data using tools like Power BI and create notebooks using Microsoft Fabric
  • Clean, prep, and explore raw data to uncover useful insights
  • Build and test predictive models using machine learning techniques
  • Translate complex data findings into clear, engaging, and actionable stories
  • Work on structured and unstructured datasets using Python, R, SQL, and data libraries
  • Collaborate with colleagues to understand business challenges and recommend data-driven solutions
  • Support A/B testing, model deployment, and tracking performance
  • Keep learning from your team, from data, and from new technologies

What we’re looking for

  • Has a degree (or equivalent experience) in data science, statistics, or a similar subject
  • Is familiar with Python, SQL, and tools like pandas, NumPy, and Power BI
  • Has a basic understanding of machine learning, data modelling, and cloud-based tools
  • Communicates clearly especially when explaining technical things to non-technical people
  • Is analytical, curious, and driven by solving problems
  • Works well independently but also loves collaborating as part of a team
  • Has a passion for data and the value it can bring to organisations like ours

If specific qualifications are required, please upload them with your application to demonstrate your eligibility.

At PA Housing, we believe in respect, integrity, and accountability. Our work is about people not just properties and we’re always looking for ways to do better. If that sounds like your kind of place, we’d love to hear from you.

Disclosure and Barring Service:

This role of requires the successful candidate to complete a basic DBS check. A basic DBS check will show any unspent convictions.

So why do we need to know this information? This role will be required to visit / support PA Housing residents in their own homes on a regular basis. Therefore we have a duty to our residents to ensure that we have taken precautions regarding who will be visiting them and representing PA Housing.

Having unspent convictions will not necessarily preclude you from being recruited into the role; if you are potentially the successful candidate, we will complete a risk assessment with you to understand the circumstances around your conviction, how relevant they are to the post you have applied for and what remedial action , if any, have you have taken since your conviction. Suitable references will also need to be obtained prior to commencement of employment.

AGENCIES: We know where you are if we need your support so please do not contact us.

To apply for this role please click on the apply button or for any enquiries please email [emailprotected] – We reserve the right to close this job advert early if we receive a sufficient number of applications. Therefore, we advise you to apply promptly to ensure your application can be considered.

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Junior Data Scientist employer: PA HOUSING

At PA Housing, we are committed to fostering a dynamic and inclusive work environment where curiosity and collaboration thrive. As a Junior Data Scientist, you will not only have the chance to work with cutting-edge data technologies but also enjoy a range of benefits including flexible working arrangements, generous annual leave, and opportunities for professional growth. Join us in making a meaningful impact on our communities while developing your skills in a supportive team dedicated to innovation and excellence.
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Contact Detail:

PA HOUSING Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Junior Data Scientist

✨Tip Number 1

Familiarise yourself with the tools mentioned in the job description, like Power BI and Python. Consider working on personal projects or contributing to open-source projects that utilise these technologies to showcase your skills.

✨Tip Number 2

Engage with data science communities online, such as forums or social media groups. Networking with professionals in the field can provide insights into the role and may even lead to referrals.

✨Tip Number 3

Prepare to discuss real-world problems you've solved using data. Think of specific examples where you used data analysis or machine learning techniques to derive insights or make decisions.

✨Tip Number 4

Show your passion for data by staying updated on the latest trends and technologies in data science. Mention any relevant courses or certifications you've completed to demonstrate your commitment to continuous learning.

We think you need these skills to ace Junior Data Scientist

Data Visualisation
Power BI
Python
SQL
pandas
NumPy
Machine Learning
Data Modelling
Cloud-Based Tools
Analytical Skills
Problem-Solving Skills
Communication Skills
Collaboration
Curiosity
Adaptability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills related to data science, such as familiarity with Python, SQL, and tools like Power BI. Emphasise any projects or coursework that demonstrate your analytical abilities and problem-solving skills.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data and how it can drive decision-making. Mention specific examples of how you've used data to solve problems or uncover insights in previous roles or projects.

Showcase Your Technical Skills: If you have experience with machine learning, data modelling, or cloud-based tools, be sure to include this in your application. Provide examples of how you've applied these skills in practical situations, such as building predictive models or conducting A/B testing.

Prepare for the Interview: If selected for an interview, be ready to discuss your technical knowledge and how you communicate complex data findings to non-technical audiences. Think of examples where you've collaborated with others to solve business challenges using data.

How to prepare for a job interview at PA HOUSING

✨Show Your Passion for Data

Make sure to express your enthusiasm for data and its potential to solve real-world problems. Share examples of projects or experiences where you used data to derive insights or make decisions.

✨Demonstrate Technical Skills

Be prepared to discuss your familiarity with Python, SQL, and data visualisation tools like Power BI. You might be asked to explain how you've used these tools in past projects, so have specific examples ready.

✨Communicate Clearly

Since the role involves explaining complex data findings to non-technical stakeholders, practice articulating your thoughts clearly. Use simple language and avoid jargon when discussing technical concepts during the interview.

✨Prepare for Problem-Solving Questions

Expect questions that assess your analytical thinking and problem-solving abilities. Be ready to walk through your thought process on how you would approach a data-related challenge, showcasing your curiosity and creativity.

Junior Data Scientist
PA HOUSING
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