At a Glance
- Tasks: Lead the implementation of modern data systems and AI applications.
- Company: Join a fast-growing AI consultancy trusted by top enterprises worldwide.
- Benefits: Competitive salary, bonuses, personal learning budget, and flexible gear options.
- Other info: Work alongside 600+ AI experts and learn from diverse backgrounds.
- Why this job: Make a real impact in a collaborative environment with endless career growth opportunities.
- Qualifications: Experience in data engineering, software development, and cloud platforms.
The predicted salary is between 80000 - 100000 £ per year.
About Indicium AI
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact.
Opportunity
We recognise “data” is broad, that’s why we’re keen to speak to those from a heavy data background and cloud natives with experience in building software of high quality standards. As an outcome based consulting business we look for people who enjoy taking a consultative approach to solving problems in a holistic, end to end fashion. We have a highly talented, diverse team; from different backgrounds & with different experiences which we are keen for you to learn from & will want to learn from you.
Responsibilities
- You will be responsible for the technical implementation and delivery of modern data systems as well as AI enabled applications.
- Solve end to end data problems/opportunities at scale.
- Contributing to solution architecture & design.
- Working with our customers to take them on a journey to success bringing their data strategy to life.
- Engage with your cross-functional squad across discovery & delivery phases of engagements; advisory, design & implementation of end-to-end solutions.
- Contribute to internal initiatives such as; blogs, technical forums.
Requirements
- Good grasp of modern data engineering (distributed systems, data streaming, event-based architectures etc) and how to apply them.
- Experience with software engineering and DevOps best practices as well as the complete SDLC applied to data, e.g. automation, testing, contract definition, clean code, CI/CD, path to production.
- Worked with one or more cloud platforms and services (AWS, Azure, GCP).
- Extensive hands-on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation).
- Software development experience with one or more languages (e.g. Python, Java, Scala, Go).
- Pragmatic approach to solving problems.
- Nice to have: keen interest in modern AI/ML techniques.
Why Indicium AI
- Fast-growing start-up organisation with huge opportunity for career growth.
- Highly competitive salary package along with company bonus.
- A hugely collaborative working environment where every person’s viewpoint is considered - a chance to make your mark on the business from day one!
- Financially backed business meaning security and support for new initiatives and global market expansion.
- Pick your own Gear! Macbooks, PCs, Accessories!
- Drive your development with a personal learning budget.
Lead Data Consultants in London employer: Indicium AI
As a People Leader in Europe, you will join a dynamic and inclusive work culture that prioritises employee well-being and professional growth. Our commitment to competitive compensation, comprehensive benefits, and a supportive environment fosters engagement and retention, making us an exceptional employer in the UK and Portugal. With opportunities to shape our people strategy and collaborate with global leaders, you will play a pivotal role in driving our mission forward while enjoying the unique advantages of working in a fast-growing, international organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Consultants 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 Indicium AI!
✨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 Lead Data Consultants at Indicium AI.
✨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 Indicium AI.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Consultants at Indicium AI, 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 Lead Data Consultants 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 Indicium AI, 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 Indicium AI. 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 Indicium AI
✨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 Indicium AI!
✨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.