At a Glance
- Tasks: Lead a diverse team in delivering innovative AI projects for the public sector.
- Company: Join Applied Data Science Partners, a leader in data science and AI consulting.
- Benefits: Enjoy remote/hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with a focus on team development and risk management.
- Why this job: Make a real impact in the public sector while driving innovation in AI delivery.
- Qualifications: Proven experience in leading AI projects and strong skills in cloud, Python, and SQL.
The predicted salary is between 66150 - 80850 Β£ per year.
Applied Data Science Partners seeks a Head of Delivery to lead a diverse data science, software engineering, business analysis, and AI consulting team delivering public sector projects including defence.
You will drive the delivery strategy through recruitment, development, and team management, ensuring on-time success while managing risks and promoting innovation.
The role requires experience in leading AI projects, mentoring squads, and strong cloud/Python/SQL skills.
#J-18808-Ljbffr
Head of AI Delivery β Public Sector (Remote/Hybrid) in London employer: Applied Data Science Partners
Applied Data Science Partners is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the public sector. With a strong focus on employee growth, we provide ample opportunities for professional development and mentorship, ensuring that our team members thrive in their careers while contributing to impactful projects. Our remote/hybrid work model allows for flexibility, making it easier to balance personal and professional commitments.
Contact Details:
Applied Data Science Partners Recruitment Team
StudySmarter Expert Adviceπ€«
We think this is how you could land Head of AI Delivery β Public Sector (Remote/Hybrid) in London
β¨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 Applied Data Science Partners!
β¨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 Head of AI Delivery β Public Sector (Remote/Hybrid) at Applied Data Science Partners.
β¨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 Applied Data Science Partners.
β¨Apply Directly through Our Website
When you find a suitable opening like Head of AI Delivery β Public Sector (Remote/Hybrid) at Applied Data Science Partners, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesnβt love a direct application? Itβs easier than navigating through job boards!
We think you need these skills to ace Head of AI Delivery β Public Sector (Remote/Hybrid) in London
Some tips for your application π«‘
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. Donβt 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 Applied Data Science Partners, 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 youβre 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 Applied Data Science Partners. 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 Applied Data Science Partners
β¨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!
β¨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, itβll really make us stand out!
β¨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 Applied Data Science Partners!
β¨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how weβd 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.