Data Scientist UK

Dataiku; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading AI platform company in London seeks a Data Scientist to develop real-world solutions and engage with clients. Responsibilities include user training and co-developing data science projects. Candidates should have experience with Python, SQL, and machine learning, with skills in data visualization. Join a collaborative environment that values innovation and personal growth.

Qualifications

• 2-10 years of experience with Python and SQL.
• Experience with building ML models and using ML tools.
• Curiosity and a desire to learn new topics and skills.

Responsibilities

• Help users discover and master the Dataiku platform via user training.
• Co-develop production-level data science projects with customers.
• Provide strategic input to customer and account teams.

Skills

Python

SQL

Machine Learning models

Data Visualization

Communication

Tools

ML tools (e.g., sklearn)

Python frameworks (Dash, Streamlit)

Job description

Dataiku is The Universal AI Platform, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.

The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only develop solutions to real-world problems, but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, providing user training, and co-developing data science projects from design to deployment.

Key Areas of Responsibility

• Help users discover and master the Dataiku platform via user training, office hours, and ongoing consultative support
• Co-develop production-level data science projects with our customers across different industries and use cases
• Provide strategic input to the customer and account teams that help make our customers successful.
• Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams
• Run demo booth/tech talk duties at company public events (e.g. Everyday AI)
• Contribute to internal assets (internal best practice or external blog post/project on the public gallery)

Experience (What We’re Looking For)

• Curiosity and a desire to learn new topics and skills
• Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public
• The ability to clearly explain complex topics to technical as well as non-technical audiences
• 2-10 years of experience with Python and SQL
• 2-10 years of experience with building ML models and using ML tools (e.g., sklearn)
• Experience with LLM
• Experience with data visualisation and building web apps with Python frameworks (Dash, Streamlit)

What are you waiting for!

At Dataiku, you\'ll be part of a journey to shape the ever-evolving world of AI. We\'re not just building a product; we\'re crafting the future of AI. If you\'re ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can\'t wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at [e-mail]

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