At a Glance
- Tasks: Transform business challenges into practical data and AI solutions for clients.
- Company: Dynamic consultancy with a focus on innovation and client impact.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Join a collaborative team and enjoy diverse projects across various industries.
- Why this job: Make a real difference by shaping solutions that drive measurable value.
- Qualifications: Experience in technology solutions and strong problem-solving skills required.
The predicted salary is between 76662 - 93698 £ per year.
London office, home working and travel to UK client sites. You must already hold, or be eligible to obtain, UK Security Clearance. This is an urgent hire so low or no notice period considered an advantage.
We’re looking for someone who can take an unclear business challenge and turn it into a practical data, AI or digital solution. This is not a narrowly defined Data Architect role. You could come from data and AI, cloud architecture, digital product development, engineering or technology consulting. What matters is your ability to understand the problem, shape the solution and help carry it through into delivery.
The role involves working directly with clients to explore opportunities, challenge assumptions and design solutions that deliver measurable value. Your work could involve modernising an existing data platform, identifying where AI can improve a business process, shaping a new digital product or defining the architecture and roadmap for a broader transformation programme.
You’ll be responsible for:
- Leading client discovery and solution-design workshops
- Turning ambiguous requirements into clear technical solutions
- Designing target-state architectures, roadmaps and delivery approaches
- Shaping solutions across data, analytics, cloud, automation and AI
- Assessing AI use cases and deciding what is genuinely worth pursuing
- Producing architecture diagrams, high-level designs and technical documentation
- Working with engineering, data, security and business teams throughout delivery
- Supporting proposals, bids and early-stage solution development
- Explaining complex ideas clearly to both technical and senior business stakeholders
What we’re looking for:
You don’t need to have followed one particular career path. You may currently be a Solutions Architect, Data or AI Consultant, Digital Solutions Lead, Technical Product Manager or Technology Transformation Manager. You will, however, need to demonstrate:
- Experience designing and delivering technology solutions in a client-facing environment
- The ability to turn loosely defined problems into structured, deliverable solutions
- A strong understanding of architecture, integration and the end-to-end delivery lifecycle
- Practical exposure to data, analytics, machine learning or Generative AI
- Confidence working with senior stakeholders and multidisciplinary delivery teams
- The ability to balance technical quality, commercial value and delivery reality
- Enough technical depth to challenge engineers and make credible design decisions
Your experience might include:
- Azure, AWS or hybrid and multi-cloud environments
- Data platforms, pipelines, APIs and systems integration
- Machine learning, Generative AI, RAG or AI-enabled automation
- AI governance, security-by-design or regulated environments
- Architecture artefacts including HLDs, LLDs and target-state roadmaps
We’re particularly interested in people who are comfortable operating between strategy and delivery: credible in the boardroom, technically strong with delivery teams and motivated by turning good ideas into solutions that work in the real world.
Principal Data Consultant employer: 83zero
As a Senior Salesforce Developer with us, you'll thrive in a dynamic and inclusive work culture that prioritises innovation and professional growth. Our commitment to employee development is reflected in our comprehensive benefits package, which includes competitive salaries, healthcare, and ongoing training resources, all while working with cutting-edge Salesforce technologies in a hybrid environment across the UK. Join us to make a meaningful impact in a highly regulated sector, where your expertise will drive digital transformation and shape the future of our solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Consultant
✨Get Involved in Data Science Meetups
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✨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 83zero.
✨Apply Directly through Our Website
When you find a suitable opening like Principal Data Consultant at 83zero, 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 Principal Data 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 83zero, 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 83zero. 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 83zero
✨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 83zero!
✨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.
