Data Scientist / Senior Data Scientist (London)

Dataiku
Kettering, UK
3 days ago
Apply on www.totaljobs.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

JavaScript (Programming Language) Information Engineering Data Systems Data Visualization Apache Hadoop Python (Programming Language) Machine Learning Standard Sql SQL Databases Cloud Platform System Scikit Learn Machine Learning Operations
+2 more
Dataiku Api Design

Job description

  • Scope and co-develop production-level data science projects with our customers across different industries and use cases
  • Help users discover and master the Dataiku platform via user trainings, office hours, and ongoing consultative support
  • Provide strategic input to the customer and account teams to help our customers succeed
  • Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams
  • Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality

Requirements

  • 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
  • Over 2 years of experience with Python and SQL
  • Over 2 years of experience with building ML models and using ML tools (e.g., sklearn)
  • Familiarity with data visualisation in Python and R
  • Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL Bonus points for any of these:

  • Experience with Consulting and/or Customer-facing Data Science roles
  • Experience with Data Engineering or MLOps
  • Experience developing WebApps in JavaScript, RShiny, or Dash
  • Experience building APIs
  • Experience using enterprise data science tools

About the company

is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku , , , and .DataikublogLinkedInXYouTube

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

Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team mostly uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques and to explain their work to other data scientists and clients., * Passion for teaching or public speakingWhat 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

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.totaljobs.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:37 min

Classifying and anonymizing data during system design

Reto Kaeser ¡ LIVE

3:10 min

Understanding the core concepts of API design

Alen Pokos ¡ LIVE

1:34 min

Bringing diverse skills to industrial data science roles

Katja Träumner

4:15 min

Bridging operational and analytical systems using formal data contracts

Matthias Niehoff Matthias Niehoff ¡ World Congress 2024

3:26 min

Prioritizing backward compatibility in API design

Justin Kitagawa ¡ Coffee With Developers

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou ¡ Coffee With Developers

Videos

See all

Related articles

See all