At a Glance
- Tasks: Lead the transformation of data into a structured knowledge base for impactful infrastructure advisory.
- Company: Join Infrata, a leading infrastructure advisory firm shaping global economies.
- Benefits: Enjoy competitive pay, professional development, and flexible working policies.
- Other info: Be part of a diverse team driving innovation and change in infrastructure.
- Why this job: Make a real difference by turning data into a competitive advantage in infrastructure.
- Qualifications: Experience in data engineering and knowledge management is essential.
The predicted salary is between 66150 - 80850 £ per year.
About Infrata
Infrata, part of dss+, is a specialist infrastructure advisory business supporting public and private sector clients on complex, high-impact investments. Working with governments, infrastructure owners, investors, lenders, and developers, we help clients make better strategic decisions across transport, energy, digital infrastructure, water, and the energy transition. Combining deep sector expertise with commercial insight, Infrata helps shape the infrastructure that powers economies and communities around the world.
Why This Role
This newly created role will lead the transformation of Infrata's project intelligence asset from an archive into a structured, governed, and searchable knowledge base — the foundation for how Infrata delivers, prices, and differentiates its advisory work in the decade ahead. You will own the data foundations, steward Infrata's proprietary analytical tools, and lead the responsible evaluation and adoption of new technologies — working closely with senior leadership, delivery teams, and dss+ group digital functions. This is a build role for a practitioner who wants to shape something from first principles inside an established, high-credibility advisory brand.
Your Impact at Infrata
You will turn Infrata's institutional knowledge into a durable competitive advantage — improving the speed, consistency, and depth of client delivery while safeguarding the confidentiality and integrity on which the firm's reputation depends.
Key Accountabilities
- Design and lead the structuring of Infrata's project archive into a curated precedent and knowledge library, including taxonomy, metadata standards, and quality assurance processes.
- Establish and enforce data governance for the knowledge base: confidentiality classification, client consent and reliance restrictions, retention, and access controls, working with legal and compliance advisers.
- Steward and develop Infrata's proprietary analytical tools, ensuring they are maintained, documented, and consistently applied across engagements.
- Build the data pipelines and retrieval infrastructure needed to make structured knowledge available to delivery teams at the point of use.
- Evaluate, scope, and lead pilots of new technologies — including AI-assisted document review and drafting — within group-approved platforms, licensing, and information security policies.
- Define success measures for technology pilots and translate proven pilots into standard delivery practice, including training and adoption support for consulting teams.
- Collaborate with dss+ group IT, information security, and digital platform teams to align Infrata's data and tooling roadmap with group architecture and procurement.
- Advise Infrata leadership on the data and technology implications of new service development, ensuring analytical outputs remain expert-led and subject to professional review.
Requirements
Who You Are
You are a hands-on data practitioner with strong engineering fundamentals and sound judgement about governance, confidentiality, and the practical limits of technology in a professional services environment.
Experience
- Significant experience in data engineering, knowledge management, or applied data roles — ideally within professional services, engineering consultancy, financial services, or another document-intensive, regulated environment.
- Proven track record structuring large volumes of unstructured content (reports, models, technical documents) into governed, searchable knowledge assets.
- Hands-on experience with modern data tooling: Python or similar, document processing, search and retrieval systems, and cloud data platforms.
- Practical experience deploying or piloting large language model and AI-assisted workflows in a governed corporate setting, including prompt design, evaluation, and human-in-the-loop review.
- Experience working with information security, legal, and compliance stakeholders on data classification, confidentiality, and acceptable-use frameworks.
Capabilities
- Strong data architecture and pipeline design capability, with a pragmatic, delivery-first mindset.
- Rigorous approach to data governance, confidentiality, and quality assurance.
- Ability to translate between technical teams, consultants, and senior leadership — and to drive adoption, not just build systems.
- Sound judgement on where automation adds value and where expert human review must remain in control.
- Self-starting and comfortable operating without an established data function around you.
Education & Languages
- Degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline, or equivalent demonstrable experience.
- Fluency in English required; additional languages advantageous.
Mobility
Occasional travel to dss+ offices and client locations as required.
Growth & Benefits
We invest in your development and success through:
- A rare greenfield mandate over a genuinely differentiated dataset.
- Exposure to globally significant infrastructure programmes and clients.
- Professional development and training support.
- Competitive compensation and performance incentives.
- Flexible working policies.
What You'll Experience at dss+
Deliver on our Purpose: Be part of a values-led organisation where your work helps organisations make better infrastructure decisions that improve economic resilience, sustainability, and long-term societal outcomes.
Develop your Trusted Expertise: Work with a unique dataset spanning thirty years of global infrastructure transactions, alongside sector experts advising on some of the most significant infrastructure programmes worldwide.
Thrive in a Culture of Respect: Join an inclusive and collaborative environment where expertise, innovation, and entrepreneurial thinking are valued and encouraged.
Shape your Career: Build a new capability from the ground up, with visibility to senior leadership across Infrata and the wider dss+ group.
A Bit More About Us
We are implementers and change-makers. Across dss+, our teams work alongside organisations to solve complex operational, strategic, and sustainability challenges that create lasting impact. Within Infrata, we combine infrastructure expertise with strategic advisory capabilities to support investment decisions, infrastructure planning, and market development — helping clients navigate complexity and deliver long-term value.
Diversity & Inclusion: dss+ is committed to building a diverse workforce and fostering an inclusive culture where everyone is respected, valued, and able to contribute fully. We believe diversity strengthens our organisation and drives better outcomes for our people, our clients, and the communities we serve.
Data & Digital Lead - Infrata in London employer: DSS Sustainable Solutions
Infrata, part of dss+, is an exceptional employer that offers a unique opportunity to lead the transformation of a substantial project intelligence asset within a collaborative and inclusive work culture. Employees benefit from professional development support, competitive compensation, and the chance to shape impactful infrastructure decisions while working with a diverse dataset and significant global clients. With a focus on innovation and respect, Infrata empowers its team members to build new capabilities and thrive in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Digital Lead - Infrata in London
✨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 DSS Sustainable Solutions!
✨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 Data & Digital Lead - Infrata at DSS Sustainable Solutions.
✨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 DSS Sustainable Solutions.
✨Apply Directly through Our Website
When you find a suitable opening like Data & Digital Lead - Infrata at DSS Sustainable Solutions, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data & Digital Lead - Infrata in London
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 DSS Sustainable Solutions, 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 DSS Sustainable Solutions. 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 DSS Sustainable Solutions
✨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 DSS Sustainable Solutions!
✨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.
