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Data Scientist

Profile 29
Posted 14 hours ago, valid for 14 days
Location

London, Greater London EC1R 0WX

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

info
  • The company is seeking a Data Scientist in London W1, offering a salary of up to £120k along with benefits such as pension, stock options, and free in-office lunches.
  • Candidates should have a minimum of 5 years of experience in the industry with live solution deployments, preferably in technology and software organizations.
  • The role involves working closely with Product Managers to design technical solutions, developing Machine Learning and statistical solutions, and deploying models in cloud environments.
  • The ideal candidate will possess skills in data visualization, algorithm design, and proficiency in programming languages like Java, Python, and R, along with hands-on experience in Machine Learning frameworks.
  • This position is part of a dynamic, AI-first SaaS company that is transforming commerce through innovative AI and ML solutions.

Job: Data Scientist (London W1)

  • Salary to £120k
  • Benefits; pension, stock options*, free in-office lunches
  • Location; Mon-Fri onsite in London W1 offices (Piccadilly Circus)

Company

Having recently floated on *NASDAQ, this company is a dynamic, AI-first SaaS company known for leveraging the latest advancements in Generative AI to deliver world-class Ai commerce solutions. Recognized by industry leaders, they are in an exciting growth phase and seeking experienced professionals to join their innovative team. This is a chance to a pioneering team that's transforming the future of commerce with AI and ML!

The Role

Working Mon-Fri from their Piccadilly Circus offices, they’re investing in a Data Scientist to join their growing global team. They’re looking for a skilled and confident individual to join them in the delivery and success of their flagship product, which addresses a global market for consumer mobile engagement and mobile commerce. As their Data Scientist you will work on some exciting projects to advance the company’s Product offering to their clients and end customers. You will sit in their technical and engineering team, and have responsibility for acting as their Data Scientist/Engineer on the projects you are involved in.

Skills and Qualification

Experience in data visualisation and presenting data in graph or pictorial format

Proficiency in designing algorithms and using statistical and problem structuring methods

Ability to clean and validate data to ensure uniformity and accuracy

Ability to use linear and non-linear regression, logistic regression, models and classification techniques for data analysis, clustering, dimensionality reduction, k-NN and pipeline

Machine Learning (supervised & unsupervised learning paradigms, and theory behind common model classes)

Proficiency in mathematical computing

Proficiency in various programming languages such as Java, C, Python, R along with strong coding skills

Hands-on experience with Machine Learning frameworks (like scikit-learn, Tensorflow or PyTorch)

Experience or knowledge of AWS would be beneficial but not required

Requirements

Minimum of 5 years’ experience in industry with live solution deployments

Experience working in technology and software organisations

BSc in Computer Science, Engineering, or equivalent preferred

Experience working with ecommerce related data sets would be a big plus.

Responsibilities

Work closely with Product Managers to decompose problem statements and design practical, valuable technical solutions to solve these.

Development of Machine Learning and statistical solutions to derive insights from complex interlinked datasets.

Deployment of Machine Learning models into cloud-based environments.

Development of dashboards and data visualisations to present insights and analysis.

Implementation of data security and privacy best practices across all work.

Communication and presentation of technical concepts to both technical and non-technical audiences, internal and external.

Line management and mentorship of a team of junior Data Scientists and Analysts.

Maintaining an awareness of developments across their industry, and any new tools and technologies in your areas of expertise.

Other Stuff

NB: for non-UK Citizens: we cannot accept applications from anyone requiring sponsorship (now or in the future) for UK permanent employment status. If you are using a work visa this must allow you to work in the UK unrestricted for at least the next 5 years.

In accordance with GDPR by applying you give Profile 29 consent to use your data for recruitment purposes only (details of Profile 29’s privacy policy can be found at: profile-29 .com/privacy)

Profile 29 recruitment keywords: data scientist data science artificial intelligence machine learning saas London google cloud aws large language models llm

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.