At a Glance
- Tasks: Join us to build awesome ML solutions for top clients like Deloitte and NHS.
- Company: Kortical is revolutionizing AI with customizable, transparent ML tools for businesses.
- Benefits: Enjoy flexible remote work, medical insurance, pension, and share options.
- Why this job: Be part of a fast-growing startup making a real impact in the AI space.
- Qualifications: Experience in delivering AI/ML solutions and working with external clients is essential.
- Other info: We value teamwork, creativity, and a passion for problem-solving.
The predicted salary is between 42000 - 84000 ÂŁ per year.
At Kortical we are on a mission to enable any company to be an AI company by providing world class tooling to enable data scientists to deliver superhuman ML solutions much quicker than than current offerings allow, all fully transparent and editable in code.
- Remote working: Flexible remote (up to 4 days p/w)
At Kortical we are on a mission to enable any company to be an AI company by providing world class tooling to enable data scientists to deliver superhuman ML solutions much quicker than than current offerings allow, all fully transparent and editable in code.
The role has two elements to it:
- As not every company or department have in-house data scientists, for some clients we build awesome ML solutions for our clients like Deloitte Tax, NHS and Santander using the Kortical platform.
- By working with our clients building these awesome ML solutions, we find areas that would make our life better as data scientists and encode those features into the platform, editing features and seeing the result before building a model, monitoring data drift, easy deployment etc…
Across all our projects, we’ve managed to keep a 100% track record of success, improving on the current state of the art in every business we’ve done ML projects for, across a very broad range of industries. To keep this record we’ve created our own agile data-science delivery process and are always actively looking to improve on it. We also focus on cross training each other, so we can all share best practice approaches across a wide range of problems and industries as we solve more problems and we love a challenge.
To be successful in this role you need to be a quick learner, being able to understand new businesses after a brief introduction and see how ML could add value is a regular part of the job. While also being able to bring a broad knowledge of the state of the art in problem solving using AI / ML. The ideal candidate would be a practical data scientist that has experience in solving real world problems with AI.
Ideally you have a consulting background so can navigate different stakeholders easily, enthuse others on the benefit of the project and find new opportunities as they get a deeper understanding of the business.
Skills required:
- You will have delivered AI/ML solutions that are deployed. Been through the pain of messy data, building features and iterating until a great ML model was created.
- Have experience on working across different AI/ML problems
- Worked with external clients in the past or happy to work with external clients, discussing their data, what the metrics are and presenting the results in a digestible manner
- Great at self project management, data science is just that, a science but there is a skill to be able to contain the experimentation and focus until meaningful results
In terms of skills we’re looking for a candidate with one or more of:
- Python
- A flare for visualisations
- NLP
- Big data architectures
- Spark ML
- Knowledge of novel DNN architectures
- GANs
- ML Vision
About Kortical
Just as every company is now a tech company, they will also have to be an AI company to survive. Currently 85% of ML projects fail and we are on a mission to turn that statistic upside down!
Google, AWS, Azure are all essentially a box of tools, and you need a strong multi-skilled team to assemble a fully scalable ML solution. Then there are those platforms that are like ready made family saloon cars, not customisable and not everyone’s first choice of car. At Kortical we believe in having the best of both worlds, a ready made sports car that is fully transparent and customisable.
Our approach is to make a platform that is editable in code and accelerates the creation of ML solutions from years to weeks, all while delivering Superhuman AI results. And big names like the NHS, BT and Deloitte have seen awesome results from using Kortical.
We are a fast growing brand and have been listed as one of the top 20 hottest AI start-ups in the UK by PWC (Oct 21) and have won innovation awards from the FCA and Awards.ai. While we are profitable, we are looking to raise another round of funding Q1 2022 to build the team and accelerate our growth faster.
Requirements:
It’s not purely about technical proficiency and we place a big emphasis on team. Pandemic aside, we often go out for a drink together (soft or hard, it is about the conversation), we do team lunches on the company every two weeks and also do quarterly “Mandatory Fun Days” where we vote on an activity and celebrate the successes afterwards. On the softer skills side, the person we’re looking for should:
- Take pride in producing great work and seeing it through to completion
- Be approachable and enjoy helping others
- Enjoy being part of a team doing something cool
- Have a passion for complex problem solving
- Believe that the best idea should win and be objective about collaborative design
Company Benefits
- Medical Insurance
- Pension
- Flexi-working
- Share Options – we want everyone to share in the success of this start-up
Interview Process
Call, test, interview with founders & offer!
Fill out the form below with:
- Why you are interested in the role
- A short paragraph summary of what experience you have
- No need to send a CV just your LinkedIn profile
We will be in touch if your skills match the role
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Data Scientist London, UK employer: Kortical Ltd.
Contact Detail:
Kortical Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist London, UK
✨Tip Number 1
Familiarize yourself with the Kortical platform and its features. Understanding how it enables data scientists to build ML solutions will help you demonstrate your enthusiasm and knowledge during the interview process.
✨Tip Number 2
Showcase your experience in solving real-world problems with AI/ML. Be prepared to discuss specific projects where you've navigated messy data and iterated on models, as this aligns with what Kortical values in a candidate.
✨Tip Number 3
Highlight any consulting experience you have. Being able to communicate effectively with different stakeholders and present complex data insights in a digestible manner is crucial for this role.
✨Tip Number 4
Emphasize your passion for teamwork and collaboration. Kortical values a team-oriented approach, so sharing examples of how you've contributed to team success or helped others will resonate well with them.
We think you need these skills to ace Data Scientist London, UK
Some tips for your application 🫡
Understand the Company Mission: Before applying, make sure you understand Kortical's mission to enable companies to become AI companies. Highlight how your skills and experiences align with this goal in your application.
Tailor Your Experience: In your application, focus on your practical experience in delivering AI/ML solutions. Provide specific examples of projects where you've navigated messy data and iterated to create successful models.
Showcase Soft Skills: Emphasize your soft skills such as teamwork, communication, and problem-solving abilities. Mention any experience working with external clients and how you effectively communicated complex data insights.
Express Enthusiasm for Learning: Since the role requires quick learning and adaptability, express your enthusiasm for tackling new challenges and learning about different industries. This will show that you're a good fit for their agile environment.
How to prepare for a job interview at Kortical Ltd.
✨Showcase Your Practical Experience
Be ready to discuss specific AI/ML solutions you've delivered in the past. Highlight your experience with messy data, feature building, and how you iterated to create effective models.
✨Demonstrate Your Consulting Skills
Since the role involves working with external clients, emphasize your ability to navigate different stakeholders. Share examples of how you've enthused others about projects and identified new opportunities.
✨Emphasize Your Quick Learning Ability
Prepare to explain how you quickly grasp new business concepts and identify where ML can add value. This is crucial for the role, so have a few examples ready.
✨Highlight Team Collaboration
Discuss your approach to teamwork and how you contribute to a positive team environment. Mention any experiences where you helped others or collaborated on complex problem-solving.