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- 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.
- 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.
- Other info: Dynamic environment with a focus on innovation and strategic initiatives.
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.
ExperienceExperience in people and/or project management activities. Utilized multiple data science methodologies.
QualificationsDegree 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 knowledgeDemonstrable 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.
Contact Detail:
CHEP UK Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Principal in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. Attend meetups, webinars, or conferences to meet potential employers and showcase your expertise.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your best projects and achievements in data science. Use platforms like GitHub to share your code and demonstrate your problem-solving abilities. This will make you stand out when applying through our website.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical teams and business stakeholders.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in leaving a positive impression. It shows your enthusiasm for the role and keeps you fresh in their minds as they make their decision.
We think you need these skills to ace Data Science Principal in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your leadership in data science projects and any experience with CI/CD pipelines, as these are key for us.
Showcase Your Communication Skills: Since you'll be translating complex data insights for both technical teams and business stakeholders, include examples of how you've effectively communicated project statuses and methodologies in your previous roles.
Highlight Your Technical Expertise: We want to see your hands-on experience with machine learning techniques and tools like TensorFlow or PyTorch. Be specific about the projects you've worked on and the impact they had.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and get you into our system quickly.
How to prepare for a job interview at CHEP UK Ltd.
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning techniques and algorithms. Be ready to discuss your experience with CI/CD pipelines and how you've implemented them in past projects. This role is all about leading a team, so be prepared to share examples of how you've mentored others in the field.
✨Communicate Like a Pro
Since you'll need to translate complex data insights for non-technical stakeholders, practice explaining your past projects in simple terms. Think about how you can convey technical concepts clearly and concisely, as this will show your ability to bridge the gap between tech and business.
✨Showcase Your Leadership Skills
Prepare to discuss your experience in people and project management. Think of specific instances where you've guided a team through challenges or fostered professional development. Highlight your ability to encourage collaboration across teams, as this is key for the role.
✨Be Ready for Technical Questions
Expect questions about your programming skills, especially in Python, and your familiarity with ML libraries like TensorFlow or PyTorch. You might also be asked about your experience with MLOPS tools and cloud platforms, so have some examples ready to demonstrate your hands-on experience.
