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Principal Data Scientist
Made Tech Limited
- +3
- +5
- London, England, United Kingdom
- +3
- +5
- London, England, United Kingdom
Über
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 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
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 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 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: disability lgbtqiaplus-allies-and-activists women-in-tech 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:
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. 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. Register your interest to be notified of any roles that come along that meet your criteria.
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Wünschenswerte Fähigkeiten
- NLTK
- PyTorch
- Scikit-learn
- TensorFlow
- SciPy
Berufserfahrung
- Data Engineer
- Machine Learning
- Data Scientist
Sprachkenntnisse
- English
Hinweis für Nutzer
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