At a Glance
- Tasks: Lead AI projects from discovery to delivery, integrating cutting-edge technologies.
- Company: Dynamic tech firm focused on applied AI for private equity clients.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Client-facing role with excellent career advancement potential.
- Why this job: Join a forward-thinking team and make a real impact in the AI space.
- Qualifications: Strong Python and SQL skills, basic ML knowledge, and relevant degree required.
The predicted salary is between 63000 - 77000 £ per year.
We're growing and we'd love you on the team. You'll work on applied AI and agentic systems for private equity clients, hands-on with model integration, multi-agent workflows and data engineering from day one.
Looking for a strong Python and SQL foundation, basic ML knowledge, and a CS/AI/Data Science degree with solid academic results.
Take AI systems from research to production, building multi-agent workflows, scalable data pipelines and Azure-deployed services for private equity and professional services clients. Suits an experienced AI or software engineer with advanced Python, agentic frameworks and MLOps skills.
Join our engineering team building applied AI and agentic systems for private equity and professional services clients, with hands-on model integration, agentic workflows and data engineering from day one.
You'll own AI engagements end to end: leading discovery, design and prototyping, then directing delivery through Attercop's Applied Science and Engineering (ASE) team, who build to production. You hold the client relationship and the outcome throughout, including on work where ASE, not you, writes the production code.
This is a senior, client-facing role. Alongside delivery, you'll run Diagnostic, Technology Due Diligence and proof-of-concept engagements at the pace deal teams need, and support proposals and scoping conversations before an engagement is signed. Most of your time is billable client work, with the balance split between pre-sales support and developing our methods, tools and IP.
Senior Consultant (AI Delivery and Advisory) in Brighton employer: Attercop
Attercop is an exceptional employer that offers a unique opportunity for growth and creativity in the digital marketing space. With a supportive work culture that encourages innovation and collaboration, employees can thrive while building impactful strategies from the ground up. The hybrid working model allows for flexibility, complemented by opportunities for professional development and occasional travel to exciting events.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Consultant (AI Delivery and Advisory) in Brighton
✨Get Involved in Data Science Meetups
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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 Attercop.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Consultant (AI Delivery and Advisory) at Attercop, 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 Senior Consultant (AI Delivery and Advisory) in Brighton
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 Attercop, 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 Attercop. 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 Attercop
✨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 Attercop!
✨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.
