At a Glance
- Tasks: Consult with clients to leverage data and AI for their growth.
- Company: Fast-growing global data consultancy with a focus on innovation.
- Benefits: 30 days holiday, flexible working, training opportunities, and free office perks.
- Other info: Open to flexible working models; perfect for creative thinkers ready to inspire.
- Why this job: Join a dynamic team and make a real impact in the data and AI space.
- Qualifications: Experience in data consultancy and a passion for AI and technology.
The predicted salary is between 50000 - 70000 £ per year.
Are you always coming up with new ways to leverage data + AI? We need you! We’re looking for someone who lives and breathes data + AI…someone who loves solving data problems and maximising AI opportunities. Someone who is tech‑confident, client‑focused, a creative thinker, commercially‑savvy and can turn ideas into results. Whether you’re from a background of data architecture, data warehouses or engineering, we want to talk to you.
We’re looking for someone to inspire, educate and support our awesome clients to power their growth using data + AI…earning their trust to become their partners for life. We’re growing our business, and growing our team of data consultants in the UK…are you our next recruit? We’re award‑winning global data + AI consultants + builders. We power our clients’ growth using data + AI. We review, select, set up + support all of their organisation’s data + AI tools. We work with UK and global clients across all sectors. We were born in 2017, we have ambitious growth plans and we’re growing every day. We need your help to grow our business even further.
What you’ll do…
- Consult with our clients and become our clients’ partner for life through building trust and respect, understanding their business, and adding value to their data, AI and business strategy.
- Identify new data + AI opportunities within a client’s organisation.
- Perform data + AI audits for our clients, assessing their current data + AI landscape.
- Propose technical solutions for our clients, to meet their current and future requirements for data + AI.
- Define roadmaps for clients to deliver their data + AI transformations.
- Translate business requirements into technical requirements for our team of builders.
- Oversee the delivery of data + AI projects, and ensure that what we deliver is secure, scalable, and aligned to best practice.
- Present and communicate insights, findings & results to clients.
- Help ensure that our client projects are delivered in full, in spec + on time.
What we need from you…
- Deep experience of data platforms; you can recommend best‑practice approaches to data warehousing and data engineering to our clients and internal team.
- We’re tech‑agnostic, so we work with a range of cloud, ETL/ELT, data warehouse, BI + AI tools (eg Azure, AWS, GCP, Databricks, Fabric, Snowflake, Redshift…)
- Evidence that you’re an AI‑advocate and experiment with new technology.
- Experience in a similar client‑facing data consultancy role.
- Confident to talk about data + AI and great at making complex things simple.
- Confident at consultative selling with both technical and non‑technical senior leaders.
- Commercially‑minded so you can understand complex business models and identify new data + AI opportunities that will deliver a client’s vision.
- Experience leading tech projects, ensuring that projects deliver to time/budget/spec and to a client’s vision.
- Awesome presentation + communication skills with the ability to inspire people.
- Proven experience winning the trust and confidence of a variety of stakeholders at all levels.
- Creative mindset and the ability to come up with new ideas and alternative ways of doing things.
- The right attitude to work in a small, growing business with a desire to help us improve the way we do things.
We’re open to alternative working models…from fractional roles to part‑time to side‑hustles…if you’re talented, we’re flexible. This is NOT an entry‑level role…we need someone who has made loads of mistakes, so that they can share their experiences with others. So, if this is a 1st or 2nd role for you, please don’t apply. This might not be the role for you…if you want to be heavily hands‑on with development or if you’d be uncomfortable in a fast‑paced environment.
Our DATA 3 offer
- For the right candidate, we offer a super exciting role in a fast‑growing global data lab…
- Want variety? You got it – we work across multiple tech, clients, sectors + locations.
- Want training? You got it – we love developing people + nurturing talent.
- Want time out? You got it – we offer 30 days holiday per year.
- Want flexibility? You got it – we love flexible working.
- Want diversity & inclusion? You got it – we believe that diverse + inclusive businesses are far more successful and better places to work.
- Want free stuff? You got it – our offices provide free drinks, tea, coffee + more… plus you’ll be invited to join our employee benefits scheme…and you’ll receive DATA 3 branded merchandise too…yay!
- Want to enjoy coming to work every day? We do too – let’s create the culture we all want to work in.
Our values
- We make things simple – we’re down‑to‑earth + we challenge ourselves to make complex tech accessible for everyone.
- We do what we say we will…at a pace – you can trust us to do right by people.
- We’re inclusive – we work as a diverse, collaborative virtual team both within our business + with our clients too.
StudySmarter Expert Advice🤫
We think this is how you could land Data Consultant in England
✨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 Data Cubed!
✨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 Consultant at Data Cubed.
✨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 Data Cubed.
✨Apply Directly through Our Website
When you find a suitable opening like Data Consultant at Data Cubed, 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 Consultant in England
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 Data Cubed, 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 Data Cubed. 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 Data Cubed
✨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 Data Cubed!
✨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.
