At a Glance
- Tasks: Develop and deploy Machine Learning models to solve real business challenges.
- Company: Join a dynamic, data-driven organisation investing heavily in AI and advanced analytics.
- Benefits: Competitive salary, career progression, and exposure to cutting-edge technologies.
- Other info: Collaborative culture with opportunities for mentorship and innovation.
- Why this job: Shape the future of Data Science while working on impactful projects.
- Qualifications: Experience in Data Science, strong Python and SQL skills required.
The predicted salary is between 63000 - 77000 £ per year.
We're working with a growing, data-driven organisation undergoing a major transformation, with significant investment being made into Microsoft Fabric, AI and advanced analytics.
This is an opportunity to join a highly collaborative Data team where you'll play a key role in shaping the future of Data Science, Machine Learning and AI across the business.
You'll work on a variety of projects spanning customer analytics, predictive modelling, AI initiatives, operational efficiency and commercial optimisation, whilst helping the organisation maximise the value of its modern data platform.
What you'll be doing
- Developing and deploying Machine Learning models.
- Building Data Science solutions that solve real business problems.
- Supporting major Microsoft Fabric initiatives.
- Working closely with stakeholders to identify opportunities for AI and analytics.
- Contributing to customer segmentation, churn modelling and predictive analytics projects.
- Helping to operationalise AI solutions into production environments.
- Supporting and mentoring junior team members.
What we're looking for
- Commercial Data Science experience.
- Strong Python and SQL skills.
- Machine Learning expertise.
Nice to have
- Microsoft Fabric or Databricks.
- LLMs / Generative AI.
- Major investment into AI and Data.
- Opportunity to work on large-scale business transformation projects.
- Exposure to cutting-edge AI initiatives.
- Broad project variety and genuine ownership.
- Clear progression opportunities as the team continues to grow.
- Collaborative culture with a strong focus on innovation and continuous improvement.
- #J-18808-Ljbffr
Data Scientist in Leeds employer: Corecom Consulting
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your analytical skills can shine. With flexible remote working options and the opportunity to engage with top-tier professionals in Manchester, you'll find ample opportunities for personal and professional growth while contributing to impactful network transformation projects. This role not only promises meaningful work but also a supportive environment that encourages continuous learning and development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Leeds
✨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 Corecom Consulting!
✨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 Data Scientist at Corecom Consulting.
✨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 Corecom Consulting.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Corecom Consulting, 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 Data Scientist in Leeds
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 Corecom Consulting, 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 Corecom Consulting. 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 Corecom Consulting
✨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 Corecom Consulting!
✨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.
