Principal Data Scientist
Job Description
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.
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.
Key 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. Coach team members on their contributions and oversee the relevant technical aspects of the proposal submission
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, knowledge and expertise
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
Experience in the following things isn't essential, but it's highly desirable
Central Digital & Data Office's Data Ethics Framework
Leadership of a data science capability or function
Working within an account or programme leadership team
Working within bid teams to win contracts exceeding value of £1m
Working with multidisciplinary digital and technology teams
Working within the public sector
Experience in hiring, forming and running teams
Track record of sustainable AI implementations
Experience with AI accessibility and inclusion
Knowledge of upcoming AI regulation and its implications
Job benefits
Support in applying
If you need this job description in another format, or other support in applying, please email .
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 talent partner who can help with any needs or adjustments we may need to make to help with your application. This includes alternative formats for documents, the time allotted for interviews and any other needs. We also welcome any feedback on how we can improve the experience for future candidates.
Life at Made Tech
We're committed to building a happy, inclusive and diverse workforce. You can get a sense of what it's like working here from our blog, where we talk about mental health, communities of practice and neurodiversity (as well as our client work and best practice).
Like many organisations, we use Slack to chat to each other. The Slack groups that have formed give an idea of the diversity within Made Tech. If you'd like to speak to someone from one of these groups about their experience as an employee, let your recruitment agent or Made Tech Talent Specialist know.
The Groups Are
antiracist-activists
disability
lgbtqiaplus-allies-and-activists
neurodiversity
parents-carers
women-in-tech
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.
Here are some of our most popular benefits listed below:
30 days Holiday - we offer 30 days of paid annual leave
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
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.
Location:
Any UK Office Hub (Bristol / London / Manchester / Swansea)
Department
Technology > Data & AI
Employment Type
Permanent
Workplace Type
Hybrid
Compensation
£105,000 - £115,000 / year
Apply now
Sounds good?
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How we hire
Our hiring process is designed to be thorough, transparent, and supportive, guiding candidates through each step. The exact process may vary slightly depending on the role but these are the typical steps candidates can expect.
We'll keep you updated throughout the process and provide helpful feedback at each stage. No matter the outcome, we make sure the feedback is useful and supportive, so you feel informed and can learn from the experience.
Our talent team will review all applications, and while we may use AI to help speed up the process, a real human will always make the final decisions. Once reviewed, shortlisted applicants will be invited to a screening.
This is a 25-30 minute call with someone in our talent team who is hiring for the role.
Once screenings have taken place the hiring manager will review the shortlist and invites to interview will be sent.
You may then be invited to an initial virtual interview which is usually with the hiring manager or a couple of members from the team. This is usually around 45 - 60 minutes and the format may vary depending on the role.
If you progress, you'll be invited to a final stage interview which is usually with two members of the team. The format varies depending on the role and this is usually an hour.
Final conversation with one of our exec members.
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