Data Scientist London, UK

Data Scientist London, UK

London Full-Time 36000 - 60000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us to build cutting-edge ML solutions for top clients like Deloitte and NHS.
  • Company: Kortical is revolutionising AI, making it accessible and customisable for every business.
  • Benefits: Enjoy flexible remote work, medical insurance, pension, and share options.
  • Why this job: Be part of a fast-growing team that values collaboration and innovative problem-solving.
  • Qualifications: Experience in AI/ML solutions, client interaction, and a passion for data science required.
  • Other info: Participate in fun team activities and enjoy a supportive work culture.

The predicted salary is between 36000 - 60000 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

Get In Touch

We will be mindful of your inbox. Please tick this box so we can let you know when we release any new products or discounts, etc.

By submitting this form, I can confirm I have read and accepted Kortical\’s privacy policy .

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Contact Detail:

Kortical Ltd. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist London, UK

✨Tip Number 1

Familiarise yourself with Kortical's platform and its unique features. Understanding how their tools can enhance the ML process will not only help you in interviews but also demonstrate your genuine interest in the company.

✨Tip Number 2

Network with current or former employees of Kortical on LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your discussions with the hiring team.

✨Tip Number 3

Prepare to discuss specific AI/ML projects you've worked on, especially those involving client interactions. Highlighting your consulting experience and ability to communicate complex ideas clearly will set you apart from other candidates.

✨Tip Number 4

Showcase your problem-solving skills by preparing examples of how you've tackled messy data or challenging ML problems in the past. Being able to articulate your thought process and the outcomes will demonstrate your practical experience.

We think you need these skills to ace Data Scientist London, UK

Python Programming
Machine Learning Deployment
Data Visualisation
Natural Language Processing (NLP)
Big Data Architectures
Apache Spark
Deep Neural Networks (DNN)
Generative Adversarial Networks (GANs)
Machine Learning for Computer Vision
Client Engagement and Communication
Project Management
Data Cleaning and Feature Engineering
Agile Methodologies
Problem-Solving Skills
Collaboration and Teamwork

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Scientist position at Kortical. Tailor your application to highlight how your skills and experiences align with their mission to enable companies to become AI-driven.

Craft a Compelling Introduction: In your application, start with a strong introduction that clearly states your interest in the role and why you believe you would be a great fit. Mention your passion for AI/ML and any relevant experience you have in delivering solutions.

Highlight Relevant Experience: Focus on showcasing your practical experience in AI/ML projects. Discuss specific examples where you've solved real-world problems, worked with messy data, or collaborated with external clients. This will demonstrate your ability to navigate different stakeholders and deliver results.

Showcase Soft Skills: Since Kortical values team dynamics, make sure to highlight your soft skills in your application. Talk about your approachability, teamwork, and passion for complex problem-solving. This will help convey that you are not just technically proficient but also a great cultural fit.

How to prepare for a job interview at Kortical Ltd.

✨Showcase Your Problem-Solving Skills

Be prepared to discuss specific examples of how you've tackled real-world problems using AI and ML. Highlight your experience with messy data and how you iterated to create effective models, as this aligns with Kortical's focus on practical solutions.

✨Demonstrate Your Client Interaction Experience

Since the role involves working with external clients, share your past experiences in consulting or client-facing roles. Emphasise your ability to communicate complex data insights in a digestible manner, which is crucial for building strong stakeholder relationships.

✨Emphasise Team Collaboration

Kortical values teamwork and collaboration, so be ready to discuss how you've worked effectively within a team. Share examples of how you've contributed to group projects and how you enjoy helping others succeed, as this will resonate well with their company culture.

✨Stay Updated on AI/ML Trends

Show your passion for AI and ML by discussing the latest trends and technologies in the field. Mention any novel architectures or techniques you're familiar with, as this demonstrates your commitment to continuous learning and innovation, which is key to Kortical's mission.

Data Scientist London, UK
Kortical Ltd.
Location: London
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