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- Tasks: Lead innovative data science projects using advanced analytics and machine learning tools.
- Company: Join a leading international professional services firm focused on cutting-edge technology.
- Benefits: Enjoy a fast-paced environment, continuous learning, and a diverse, inclusive team culture.
- Why this job: Make a real-world impact while shaping data capabilities and mentoring junior talent.
- Qualifications: Strong Python skills, experience in data science, and ability to manage multiple projects.
- Other info: Opportunity to work with cloud technologies and contribute to high-impact solutions.
The predicted salary is between 43200 - 72000 £ per year.
Campion Pickworth are working with a leading International professional services firm to recruit for Data Science and Machine Learning Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment.
This is a unique opportunity to work on a wide range of high-impact data science projects, leveraging cutting-edge technologies and working alongside a talented team of professionals. You’ll play a key role in shaping our data capabilities and delivering meaningful insights that support business-critical decisions.
What You’ll Do
- Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions.
- Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data.
- Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence.
- Collaborate with cross-functional teams to identify business needs and translate them into scalable data science solutions.
- Manage multiple projects from inception to deployment within cloud-based environments.
- Maintain high standards in code review, documentation, and delivery in a DevOps context.
- Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models.
What We’re Looking For
Essential Skills and Experience:
- Proven ability to solve complex, real-world problems through data science and analytics.
- Experience coaching and reviewing work of junior team members.
- Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics.
- Deep knowledge of machine learning methods and their practical application.
- Experience managing multiple end-to-end data science projects across varied data types.
- Familiarity with DevOps practices and tools like Git.
- Cloud experience (e.g. Azure, AWS) and working with ML platforms and services.
- Strong communication skills, capable of explaining complex topics to non-technical stakeholders.
- Ability to align data science efforts with broader business objectives.
Desirable Skills:
- Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs).
- Familiarity with Generative AI and prompt engineering.
- Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes.
- Exposure to Agile development environments and software engineering best practices.
- Experience working in large or complex organisations or regulated industries.
- Strong working knowledge of Excel, SQL, Power BI, and Tableau.
Why Join?
- Work in a fast-growth, innovation-driven environment.
- Be part of a diverse and inclusive team where your contributions are valued.
- Tackle meaningful challenges with real-world impact.
- Access continuous professional development and technical learning opportunities.
Data Science Manager employer: Campion Pickworth
Contact Detail:
Campion Pickworth Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, R, Azure, and Databricks. Consider working on personal projects or contributing to open-source projects that utilise these tools to demonstrate your hands-on experience.
✨Tip Number 2
Network with professionals in the data science field, especially those who work in similar roles or industries. Attend meetups, webinars, or conferences to connect with potential colleagues and learn about the latest trends and challenges in data science.
✨Tip Number 3
Prepare to discuss your experience managing multiple data science projects. Be ready to share specific examples of how you’ve led teams, mentored junior members, and delivered impactful insights that align with business objectives.
✨Tip Number 4
Brush up on your communication skills, particularly in explaining complex data science concepts to non-technical stakeholders. Practice articulating your thoughts clearly and concisely, as this will be crucial in a collaborative environment.
We think you need these skills to ace Data Science Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and machine learning. Emphasise your skills in Python, R, and any cloud technologies you've worked with, as well as your ability to manage projects and mentor others.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data science and how your background aligns with the role. Mention specific projects where you've successfully applied machine learning techniques and how you can contribute to the company's goals.
Showcase Your Technical Skills: Include a section in your application that details your technical proficiencies, particularly in tools like Azure, SQL, Power BI, and Tableau. Highlight any experience with DevOps practices and your understanding of machine learning methods.
Prepare for Interviews: Anticipate questions related to your problem-solving abilities and experience with data science projects. Be ready to discuss how you've mentored junior team members and collaborated with cross-functional teams to deliver impactful solutions.
How to prepare for a job interview at Campion Pickworth
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, R, and machine learning techniques in detail. Highlight specific projects where you've successfully applied these skills, especially in a cloud environment like Azure.
✨Demonstrate Leadership and Mentorship
Since the role involves guiding junior team members, share examples of how you've coached or mentored others in your previous positions. This will show your ability to foster a culture of growth and technical excellence.
✨Communicate Complex Ideas Simply
Practice explaining complex data science concepts in layman's terms. This is crucial as you'll need to communicate effectively with non-technical stakeholders, so think of examples where you've done this successfully.
✨Align Data Science with Business Goals
Prepare to discuss how your data science efforts have previously aligned with broader business objectives. Be ready to provide examples of how your insights have driven meaningful decisions in past roles.