At a Glance
- Tasks: Lead data governance and AI assurance projects while collaborating with clients across the UK.
- Company: Dynamic consultancy firm focused on innovative data solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a supportive team with a focus on career development and cutting-edge technology.
- Why this job: Make a real impact in data governance and AI within exciting industries like defence and oil & gas.
- Qualifications: Experience in data governance, AI assurance, and strong consulting skills required.
The predicted salary is between 56700 - 69300 £ per year.
This role is a perm role.
Clearance: SC
Location: UK (Hybrid) with travel to client sites 2 days p/w across Bristol, Portsmouth and Taunton
- Key
- Defence experience desirable
- Sonar work and underwater mapping
- Hydrographic office experience would be interesting
- Oil & gas also another transferable industry due to work in seas
- What you’ll bring (Essential)
• Proven experience in data governance delivery, including
- Policy & standards, stewardship models, RACI, decision forums.
- Data quality (dimensions, rules, scorecards, monitoring, remediation).
- Metadata & catalogue adoption (business glossary, lineage, classification & sensitivity).
- Privacy & protection in data handling (e. g., DPIAs, retention, access control, auditability).
• Practical understanding of AI assurance, covering
- Training data preparation and validation (provenance, quality, representativeness, bias mitigation).
- Model selection considerations (interpretability, performance, risk, security constraints).
- Testing & evaluation (appropriate metrics, benchmarking, robustness/fairness/privacy tests, safe red team exercises).
- In life governance (monitoring, drift detection, risk logging, periodic re evaluation and re training with realistic data, change approvals).
- Strong consulting fundamentals: structured problem solving, facilitation, documentation, and stakeholder communication.
- Ability to work under general direction, plan own work, and enable others—aligned to SFIA Level 4 expectations.
- Excellent written/spoken English.
Desirable
- Experience in UK Central Government, Defence, or other regulated/public sector environments.
- Familiarity with established frameworks/standards (e. g., DAMA DMBOK for data; NIST AI RMF 1.0, ISO/IEC 23894 AI risk management, ISO/IEC 27001, UK GDPR/DPA 2018).
- Hands on exposure to one or more platforms: Microsoft Purview, Azure ML, Databricks/MLflow, Azure Fabric, Power BI governance; plus experience with data catalogues (e. g., Collibra, Alation) is a bonus.
- Exposure to MLOps processes (model registry, approval workflows, monitoring, incidents & rollbacks) and risk/control libraries (e. g., bias, robustness, security, IP, privacy).
- Awareness of secure development and deployment constraints (e. g., air gapped networks, protective monitoring, model and data escrow).
- #J-18808-Ljbffr
Data Governance & AI Consultant employer: ComXps
ComXps is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a strong focus on employee growth, we provide opportunities for professional development and advancement within the secure government and defence sector. Our commitment to a supportive environment ensures that you can thrive while contributing to meaningful projects that make a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Data Governance & AI Consultant
✨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 ComXps!
✨Show Off Your Projects
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✨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 ComXps.
✨Apply Directly through Our Website
When you find a suitable opening like Data Governance & AI Consultant at ComXps, 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 Governance & AI Consultant
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 ComXps, 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 ComXps. 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 ComXps
✨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 ComXps!
✨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.
