At a Glance
- Tasks: Lead complex data science projects and mentor teams to deliver exceptional client outcomes.
- Company: Join Made Tech, a leader in digital transformation for the public sector.
- Benefits: Enjoy 30 days holiday, flexible working hours, remote options, and paid counselling.
- Why this job: Be part of a passionate team making a real impact in public services.
- Qualifications: Deep expertise in AI, strong leadership skills, and experience with modern ML tools required.
- Other info: Eligibility for SC clearance is necessary; we value diversity and inclusivity.
The predicted salary is between 43200 - 72000 £ per year.
Our Principal Data Scientists are responsible for leading and delivering strategically significant, complex client engagements across our portfolio of clients. We believe that great delivery stems from a thorough understanding of our clients and their needs, strong discipline skills and subject matter expertise, excellent leadership and a clear vision of lasting and effective change in a public sector environment. We expect our Principal Data Scientist to bring all of that and enthuse our delivery teams with the same passion.
The successful candidate will lead the Data Science aspects of our client engagements while overseeing the wider delivery within the account (or industry) when appropriate. They will coach and develop team members on their engagements providing them with detailed performance feedback, as well as monitoring overall delivery to achieve the highest levels of client satisfaction.
In addition, our Principal Data Scientists are responsible for engaging with our clients to understand their challenges and build lasting, trusted advisor relationships. They will also oversee multiple, concurrent client deliveries to help ensure quality and drive the sharing of best practice across our engagements and industries.
Role Profile
Our Principal Data Scientists are members of the Data & AI Practice leadership team with the responsibility to develop the capability of the practice to meet business needs and to accelerate the growth of the practice, their account and the wider business. You will be responsible for the practice and service line-specific delivery elements of your engagement/account as well as a shared ownership for the overall delivery of client outcomes. You will leverage your client and delivery insight to support the account and industry teams to identify opportunities and develop client solutions.
The right person for this role will do this by combining their technical discipline/craft experience, leadership skills and industry network with Made Tech's unparalleled experience of delivering digital services and digital transformation for the Public Sector.
Responsibilities
- Collaborate with clients to understand their needs, provide solution advice in your role as a trusted advisor and shape solutions that leverage Made Tech's wider capabilities and credentials.
- Assess project performance as a part of the billable delivery team, Quality Assure (QA) the deliverables and outcomes, and ensure client satisfaction.
- Coach and mentor team members as well as providing direction to enable them to achieve their engagement outcomes and to develop their careers.
- Act as a Technical Authority to provide oversight and ensure alignment with internal and industry best practices.
- Ensure engagement experience is captured and used to improve standards and contribute to Made Tech knowledge.
- Participate in business development activities, including bids and pre-sales within the account, industry and practice.
- Undertake people management responsibilities, including performance reviews and professional development of your engagement and practice colleagues.
- Serve as a thought leader within Made Tech, our account engagements and the wider public sector and represent the company at industry events.
Skills
- Lead the delivery of high-impact data science deliveries across multiple client accounts and projects.
- Design and implement advanced machine learning solutions and propositions using state-of-the-art techniques and best practices coupled with pragmatism to meet clients’ needs.
- Deep expertise in one or more Data Science or AI domains.
- Proven track record of leading complex AI projects in an agile environment.
- Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc).
- MLflow or similar ML lifecycle tools.
- Cloud platforms (AWS/Azure/GCP).
- Experience with AI governance and responsible AI practices.
- Understanding of public sector data requirements and compliance.
- Outstanding communication and stakeholder management skills.
- Demonstrated ability to translate complex technical concepts for non-technical audiences.
- Knowledge of Data & Platform Engineering practices, allowing you to interface effectively with Agile delivery teams.
- Drive AI governance and ethical implementation, including model quality assurance, fairness and bias mitigation and safety and security protocols.
- Provide technical leadership and mentorship to client delivery teams as a billable member of the team and in providing technical oversight.
- Partner with stakeholders to develop and execute AI strategy and roadmaps.
- Support business development through solution design and pre-sales activities.
- Maintain high billable utilisation while delivering exceptional client value.
- Contribute to Made Tech's thought leadership in AI/ML.
- Guide clients in building robust MLOps practices and data-driven cultures.
- Hiring and line-managing data scientists and analysts.
Security Clearance
An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we’re looking for all successful candidates for this role to have eligibility. Eligibility for SC requires 5 years' continuous UK residency and 5 year employment history (or back to full-time education). Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won’t be able to progress your application and we will contact you to let you know why.
Our application process
The process will include an initial call with a member of our talent team, a two-stage interview process with our Data & AI team before a final meet with our Managing Director.
Support in applying
If you need this job description in another format, or other support in applying, please email talent@madetech.com.
We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We’re collectively continuing to grow a culture that is happy, healthy, safe and inspiring for people of all backgrounds and experiences, so we encourage people from underrepresented groups to apply for roles with us.
When you apply, we’ll put you in touch with a member of our talent team who can help with any needs or adjustments we may need to make to help with your application.
Benefits
We are always listening to our growing teams and evolving the benefits available to our people. As we scale, as do our benefits and we are scaling quickly. We’ve recently introduced a flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan. We’re also big on connection and have an optional social and wellbeing calendar of events for all employees to join should they choose to.
- 30 days Holiday - we offer 30 days of paid annual leave plus bank holidays.
- Flexible Working Hours - we are flexible with what hours you work.
- Flexible Parental Leave - we offer flexible parental leave options.
- Remote Working - we offer part time remote working for all our staff.
- Paid counselling - we offer paid counselling as well as financial and legal advice.
Principal Data Scientist employer: Made Tech
Contact Detail:
Made Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist
✨Tip Number 1
Familiarise yourself with the public sector landscape and the specific challenges it faces. Understanding these nuances will help you engage more effectively with clients and demonstrate your ability to provide tailored solutions.
✨Tip Number 2
Showcase your leadership skills by discussing past experiences where you've successfully mentored or coached team members. Highlighting your ability to inspire and develop others will resonate well with our expectations for this role.
✨Tip Number 3
Network within the data science community, especially focusing on public sector events or forums. Building relationships with industry peers can provide insights into best practices and potential collaboration opportunities that align with our mission.
✨Tip Number 4
Prepare to discuss your experience with modern ML tools and frameworks in detail. Being able to articulate your technical proficiency and how it applies to real-world scenarios will set you apart as a strong candidate for this position.
We think you need these skills to ace Principal Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, leadership, and client engagement. Use specific examples that demonstrate your ability to lead complex projects and mentor team members.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and public sector transformation. Discuss how your skills align with the responsibilities outlined in the job description, particularly your experience with advanced machine learning solutions.
Showcase Your Technical Skills: Clearly list your technical proficiencies, especially with tools like PyTorch, TensorFlow, and cloud platforms. Provide examples of how you've applied these skills in previous roles to achieve successful outcomes.
Prepare for Interviews: Anticipate questions related to your leadership style, project management experience, and how you handle client relationships. Be ready to discuss specific projects where you drove AI governance and ethical implementation.
How to prepare for a job interview at Made Tech
✨Understand the Role Deeply
Before the interview, make sure to thoroughly understand the responsibilities and expectations of a Principal Data Scientist. Familiarise yourself with the specific skills mentioned in the job description, such as advanced machine learning techniques and public sector data requirements.
✨Showcase Your Leadership Skills
As this role involves coaching and mentoring team members, be prepared to discuss your leadership experiences. Share examples of how you've successfully led teams or projects, and how you can inspire others to achieve their best.
✨Prepare for Technical Questions
Expect to face technical questions related to data science and AI. Brush up on your knowledge of tools like PyTorch, TensorFlow, and cloud platforms. Be ready to explain complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Demonstrate Client Engagement Experience
Since building trusted advisor relationships with clients is crucial, prepare to discuss your past experiences in client engagement. Highlight how you've understood client needs and shaped solutions that align with their goals, showcasing your ability to drive satisfaction and quality.