At a Glance
- Tasks: Lead the data strategy for impactful services used by millions.
- Company: Award-winning digital consultancy transforming UK government services.
- Benefits: Inclusive culture, flexible working, and opportunities for professional growth.
- Other info: Join a diverse team committed to driving innovation and inclusivity.
- Why this job: Make a real difference in citizens' lives through innovative data solutions.
- Qualifications: 10+ years in data engineering or analytics with strong leadership skills.
The predicted salary is between 55000 - 65000 £ per year.
About Scrumconnect Consulting: Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. With a strong commitment to user-centred design and agile delivery, we continue to build innovative digital services that truly make a difference.
Overview: We are seeking a seasoned Data Lead to define and deliver a comprehensive data strategy for large-scale, citizen-facing services used by millions. This role involves assessing current data capabilities, defining a future vision, and architecting a roadmap to achieve it—while building and leading the team required to deliver.
Key Responsibilities:
- Data Strategy & Governance: Lead the end-to-end data strategy across services. Assess current (“as-is”) and future (“to-be”) states of data platforms and pipelines. Develop a short- to medium-term strategic roadmap aligned with broader organisational and government data strategies. Define and implement policies, standards, and governance frameworks for secure and scalable data services.
- Technical Leadership & Architecture: Select and evolve data engineering tools, frameworks, and methodologies. Ensure alignment with enterprise architecture and technical strategies. Lead delivery of complex data engineering initiatives across multiple systems. Design solutions balancing functional and non-functional requirements.
- Team Design & Delivery: Define optimal team structure, including roles, skills, and capacity. Build and lead multidisciplinary data teams (engineers, analysts, data scientists). Mentor and guide team members to ensure high-quality delivery. Oversee implementation of data platforms, pipelines, and analytical models.
- Standards, Compliance & Quality: Ensure adherence to data governance, security, and compliance standards. Embed data quality, lineage, and protection practices across systems. Contribute to enterprise-wide data policies and regulatory compliance.
Required Experience & Skills:
- 10+ years of experience in data engineering, data science, or analytics.
- Proven experience defining and executing data strategies in complex organisations.
- Strong expertise in cloud-based data platforms (AWS preferred).
- Experience with modern ETL/ELT tools and data pipeline frameworks.
- Solid understanding of data modelling, warehousing, and transformation best practices.
- Experience across the data science/ML lifecycle from prototype to production.
- Experience working in public sector or regulated environments, with knowledge of GDPR and related standards.
- Strong communication and stakeholder management skills, including engaging senior stakeholders.
- Proven leadership, mentoring, and team-building capabilities.
Tech Stack: Google Analytics, Google BigQuery, Looker Studio, Google Tag Manager.
Desirable Experience:
- Experience in public sector or citizen services (e.g., benefits systems).
- Exposure to government frameworks or large-scale transformation programmes.
- Security clearance (BPSS, SC, or DV) or willingness to obtain.
Diversity & Inclusion: At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is respected, valued, and supported. We welcome applications from candidates of all backgrounds and experiences, and we actively encourage applications from women, people with disabilities, underrepresented communities, and those seeking flexible working arrangements.
Data Team Lead in Guildford employer: Scrumconnect Consulting
Scrumconnect Consulting is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration. With a strong focus on employee growth, we provide ample opportunities for professional development and mentorship within a diverse and inclusive environment. Located in the heart of the UK, our team members enjoy the unique advantage of contributing to impactful projects that enhance the lives of millions while working alongside passionate professionals dedicated to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Team Lead in Guildford
✨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 Scrumconnect Consulting!
✨Show Off Your Projects
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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 Scrumconnect Consulting.
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We think you need these skills to ace Data Team Lead in Guildford
Some tips for your application 🫡
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. Don’t 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 Scrumconnect Consulting, 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 you’re 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 Scrumconnect Consulting. 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 Scrumconnect Consulting
✨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!
✨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, it’ll really make us stand out!
✨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 Scrumconnect Consulting!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d 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.
