Data Scientist

London / Hybrid (with weekly face-to-face team meetings)

Company Description

BrandDelta empowers companies around the world to transform the way their Brands can learn and win. Our Brand Intelligence platform is built to enable our clients to understand how consumers perceive their brands faster, deeper and in a more actionable manner with measurable links.

We are helping our clients to transition from slow-moving, expensive and unactionable survey-based solutions into the 21 st century with the Brand Intelligence AI.

BrandDelta has ambitious plans for growth, with Porto marked as the centre for advanced AI-led software, supported by a growing team, offering great career prospects to individuals. Founders have a history building globally awarded AI businesses (e.g. achieving a top-10 Gartner rating for AI-led insight) and investing heavily into team and individual development.

Role Description

As aData Scientist,you will be part of our Data & Innovation team. We are developing and integrating a corpus of cross-channel digital signals from multiple datasets to uncover insights, design and implement efficient media marketing, influencer & creative strategies and maximize their marketing towards optimal growth.

In this role, you will be responsible for combining these otherwise disconnected datasets, and with the help of advanced machine learning, NLP & Computer Vision techniques, help uncover new consumer insights allowing our clients to gain knowledge and insights on consumer behaviour. You will play a key role in standardizing our AI into a Global solution.

We deliver growth to clients based on AI enabled insights, allowing our customers to remain relevant, capture market share, create deeper connection with consumers.

Requirements

· Bachelor’s degree in the quantitative research field, such as Data Science, Statistics, Mathematics, Social sciences, Biological/Physical science, or Computer Science; Masters preferred.

· 4+ years of experience in using Python to prepare, aggregate, or transform data (both structured and unstructured) for analysis

· 4+ years of experience in applying ML/statistical methodologies on large datasets of respondent level, log file, or transactional level

·Ambitious and open to learning many more ML and statistical methods, under mentorship of some recognised AI and software leaders.

· Experience in working with large datasets (> 1TB)

· Able to implement production level coding practices, including unit testing and documentation

· Proven experience building NLP & Computer Vision products with an engaged customer base

· Experience researching and implementing latest scientific literature on NLP/CV and ML

· Experience building prototypes and experiments to validate technical ideas

· Extensive knowledge of open-source NLP & CV libraries

· Skilled at explaining the technical subject matter to non-technical audiences (in English)

·Nice to have:Experience working on an agile software engineering team and working directly with Product Management teams; Azure Databricks, Microsoft Azure certification, Azure AI Fundamentals, Azure Data Scientist Associate

Preferred Skills/Experience:

· Demonstrates strong interpersonal, communication, and presentation skills

· Ability to explain findings and recommendations to a broad business audience, both internal and external

· Educated on a variety of analytical methods, shapes thinking and influences decisions

· Experience in Consumer / Marketing Analytics with the ability to apply knowledge of and passion for digital, social, mobile media, and other new platforms to provide insight and evaluation that helps clients build stronger consumer connections.

· Effectively handle client projects by balancing tasks to achieve both short- and long-term goals

What we offer:

· Career Acceleration - Fast growth with many opportunities both in the AI-led software and business domains, with board-level clients.

· Benefits Policy

· Flexible Work Hours - Adjust your schedule to your needs

· Hardware and software for remote setup

· Weekly & Monthly All-Hands

· Autonomy and Ownership Culture

· Continuous feedback culture

· We will pay you competitive salary commensurate with what you're worth, as a high performer. We are fully committed to closing the gender pay gap, promoting diversity and inclusivity, and paying people what they deserve to be paid.

· Enjoy the benefits of a flexible work schedule as part of a global team.

· Experience ongoing training and growth opportunities. We will support you with your career endeavours. We are committed to internal progression and offering our team members the best opportunities for growth. We want to invest in you the same way you are going to invest in us!

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionEngineering and Information Technology
• IndustriesTechnology, Information and Internet

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