Contract Data Scientist – Commercial Analytics & Growth in Manchester

Contract Data Scientist – Commercial Analytics & Growth in Manchester

Manchester Full-Time 60750 - 74250 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Transform business questions into analytics use cases and build models in Python/R.
  • Company: AND Digital, a forward-thinking tech company based in Manchester.
  • Benefits: Flexible working hours, competitive pay, and opportunities for professional growth.
  • Other info: Collaborative environment with teams across Sales, Marketing, and Finance.
  • Why this job: Make a real impact by delivering insights that drive business success.
  • Qualifications: 2+ years of data science experience in commercial analytics required.

The predicted salary is between 60750 - 74250 Β£ per year.

AND Digital are recruiting a Contract Data Scientist to begin ASAP, ideally based in Manchester and comfortable with central US time zones.

You will turn business questions into analytics use cases, build and deploy models in Python/R on Azure and Microsoft Fabric, and surface insights via Power BI and CRM Analytics.

You will collaborate with Sales, Marketing and Finance teams, with 2+ years of applied data science in commercial analytics and a focus on delivering business impact.

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Contract Data Scientist – Commercial Analytics & Growth in Manchester employer: AND Digital

AND Digital is an exceptional employer that prioritises collaboration, innovation, and personal growth. With a unique 'Blended Working' model, employees enjoy flexibility in their work locations while engaging in meaningful projects that impact lives. The company fosters a supportive culture with dedicated career development teams, training budgets, and regular team socials, making it an ideal place for those looking to thrive in a dynamic tech environment.

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Contact Details:

AND Digital Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Contract Data Scientist – Commercial Analytics & Growth in Manchester

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like AND Digital!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Contract Data Scientist – Commercial Analytics & Growth at AND Digital.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like AND Digital.

✨Apply Directly through Our Website

When you find a suitable opening like Contract Data Scientist – Commercial Analytics & Growth at AND Digital, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Contract Data Scientist – Commercial Analytics & Growth in Manchester

Data Science
Python
R
Azure
Microsoft Fabric
Power BI
CRM Analytics

Some tips for your application 🫑

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at AND Digital, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at AND Digital. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at AND Digital

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at AND Digital!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.