At a Glance
- Tasks: Lead a team of data scientists and drive innovative projects using advanced machine learning techniques.
- Company: Join a forward-thinking company that values collaboration and professional growth.
- Benefits: Enjoy competitive salary, flexible work options, and opportunities for continuous learning.
- Other info: Dynamic environment with a focus on innovation and strategic initiatives.
- Why this job: Make a real impact by shaping the future of data science and mentoring the next generation of talent.
- Qualifications: 7+ years in data science with strong leadership and communication skills.
The predicted salary is between 54000 - 84000 £ per year.
Lead a team of data scientists, providing mentorship and guidance on daily tasks, fostering professional development and capability growth.
Oversee the implementation of Continuous Integration/Continuous Deployment (CI/CD) pipelines, ensuring deliverables meet project milestones and quality standards.
Apply advanced machine learning, forecasting, and statistical analysis techniques to drive experimentation and innovation on data science projects.
Lead the experimentation and implementation of new data science techniques for projects, ensuring alignment with internal and external customer objectives.
Communicate project status, methodologies, and results to both technical teams and business stakeholders, translating complex data insights into actionable strategies.
Facilitate data science team discussions, providing technical expertise on current methods and guiding decision-making for optimal outcomes.
Contribute to strategic data science initiatives, influencing the direction of key projects and aligning team efforts with broader business goals.
Encourage collaboration across teams and functions to ensure seamless integration of data science solutions into business processes and technology platforms.
Experience
Experience in people and/or project management activities. Utilized multiple data science methodologies.
Qualifications
Degree in Data Science, Computer Science, Engineering, Science, Information Systems and/or equivalent formal training plus work experience. BS & 7+ years of work experience; MS & 6+ years of work experience. Excellent communication skills. 7+ years of work experience in a data science role. Familiarity with Data Science software & platforms (e.g. Databricks). Software development experience. Research and new algorithm development experience.
Skills and knowledge
Demonstrable experience of machine learning techniques and algorithms. Experience with statistical techniques and CRISP-DM lifecycle. Production ML Experience: Deployed models that serve real users, ability to scale to million users without incurring technical debt. Strong programming skills in Python and familiarity with ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar. MLOPS experience with tools such as Drift, Decay, A/B Testing. Integration and Differential testing, python package building, code version etc. Experience with data pipeline creation and working with structured and unstructured data. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) preferred. Excellent problem-solving skills combined with the ability to communicate complex technical concepts to non-technical stakeholders. Ability to mentor a team of Data Scientists, Machine Learning Engineers and Data Engineers with strategy making capability.
Data Science Principal in Manchester employer: CHEP UK Ltd.
CHEP is an exceptional employer, offering a dynamic work environment in Weybridge that fosters innovation and collaboration. With a strong commitment to employee development, we provide ample opportunities for growth and mentorship within our high-performing procurement team. Our hybrid work model promotes flexibility, while our focus on sustainability and ethical practices ensures that you contribute to meaningful initiatives that have a positive impact on the world.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Principal 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 CHEP UK Ltd.!
✨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 Science Principal at CHEP UK Ltd..
✨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 CHEP UK Ltd..
✨Apply Directly through Our Website
When you find a suitable opening like Data Science Principal at CHEP UK Ltd., 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 Science Principal in Manchester
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 CHEP UK Ltd., 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 CHEP UK Ltd.. 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 CHEP UK Ltd.
✨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 CHEP UK Ltd.!
✨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.
