Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us as a Data Scientist to tackle real-world problems and engage with clients.
- Company: Dataiku is a pioneering AI company based in Paris, transforming data into actionable insights.
- Benefits: Enjoy a collaborative culture, opportunities for personal growth, and the chance to shape AI's future.
- Why this job: Make a significant impact in AI while working with diverse teams and innovative projects.
- Qualifications: 2+ years of Python, SQL, and ML experience; strong communication skills are a must.
- Other info: We value diversity and are an equal opportunity employer committed to fairness.
The predicted salary is between 28800 - 48000 £ per year.
Sand Technologies is a fast-growing enterprise AI company that solves real-world problems for large blue-chip companies and governments worldwide.
We’re pioneers of meaningful AI : our solutions go far beyond chatbots. We are using data and AI to solve the world’s biggest issues in telecommunications, sustainable water management, energy, healthcare, climate change, smart cities, and other areas that have a real impact on the world.
We’ve grown our revenues by over 500% in the last 12 months while winning prestigious scientific and industry awards for our cutting-edge technology. We’re underpinned by over 300 engineers and scientists working across Africa, Europe, the UK and the US.
ABOUT THE ROLE
We are seeking an experienced Senior Data Scientist to join our growing data science team. As a key contributor, the Senior Data Scientist will be responsible for leveraging their advanced data analysis and machine learning skills to solve complex business problems and drive data-driven decision-making within our organisation and those of our clients. The ideal candidate will have a strong background in statistics, machine learning and data analysis, along with a proven track record of delivering impactful insights and solutions – with demonstrated experience getting data science solutions into production. Key responsibilities are:
- Conduct independent (and collaborative) research and development of data science and machine learning models; develop cutting-edge data science and machine learning models that drive business value, leveraging internal and external data sources.
- Communicate data: skilled in decision science, domain modelling, predictive modelling, advanced analytics, MLOps, Research and AI Ethics, with the willingness to upskill others in these competencies.
- Collaborate with cross-functional teams: work closely with cross-functional teams to apply data science and machine learning models to business problems, ensuring that models are integrated into products and services.
- Communicate results and impact: communicate results and impact to stakeholders, including technical and non-technical audiences.
- Stay current with industry developments: keep up to date with developments across data science and machine learning, identifying opportunities for applied research and development.
- Mentor junior data scientists: mentor junior data scientists, fostering a culture of continuous improvement and innovation.
REQUIREMENTS
- Fluency in Python with experience with at least one cloud provider; preferably Azure.
- Qualified experience in a related field, including, but not limited to, Data Science, Machine Learning & Computer Science.
- 5+ years of experience in data science and machine learning, with a strong track record of independent research and development a plus.
- Strong technical background, with expertise in a range of machine learning algorithms and data science techniques.
- Strong experience in delivery across the lifecycle of machine learning products, adhering to robust software engineering practices.
- Excellent communication, with the ability to communicate complex data science concepts to technical and non-technical audiences.
- Strong collaboration skills, with the ability to work effectively with cross-functional teams.
- Passion for data science and machine learning, with a desire to continuously learn and innovate.
NICE TO HAVE
- Experience with GIS (raster & vector-based workflows), graph theory, time series modelling and XAI.
- Experience sharing research in academic or industry forums, and drive to expand Sand’s industry footprint.
- Experience in retail, utilities (e.g. water or telco) or financial services industries.
Would you like to join us as we work hard, have fun and make history?
Apply for this job
#J-18808-Ljbffr
Data Scientist employer: Tbwa Chiat/Day Inc
Contact Detail:
Tbwa Chiat/Day Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with Dataiku's platform and its features. Understanding how to navigate and utilize the tools available will not only help you in interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Showcase your experience with Python and SQL by preparing examples of past projects where you've built ML models or developed data visualizations. Be ready to discuss these experiences in a way that highlights your problem-solving skills.
✨Tip Number 3
Since the role involves client-facing responsibilities, practice explaining complex data science concepts in simple terms. This will help you convey your expertise effectively during interviews and demonstrate your communication skills.
✨Tip Number 4
If you have experience in consulting or customer-facing roles, prepare to discuss how you've successfully collaborated with clients in the past. Highlighting your empathy and ability to support users will align well with Dataiku's values.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Scientist at Dataiku. Familiarize yourself with their platform and how it integrates into various industries.
Highlight Relevant Experience: In your application, emphasize your experience with Python, SQL, and building ML models. Provide specific examples of projects you've worked on that demonstrate your skills and expertise.
Showcase Communication Skills: Since the role involves client-facing activities, highlight your ability to explain complex topics to both technical and non-technical audiences. Include any relevant experiences in teaching or public speaking.
Tailor Your Application: Customize your CV and cover letter to reflect Dataiku's values and mission. Mention your curiosity, eagerness to learn, and how you can contribute to their vision of Everyday AI.
How to prepare for a job interview at Tbwa Chiat/Day Inc
✨Show Your Curiosity
Dataiku values curiosity and a desire to learn. Be prepared to discuss how you've pursued new skills or knowledge in your previous roles, especially related to data science and AI.
✨Demonstrate Empathy and Communication Skills
Since the role involves client-facing interactions, highlight your ability to explain complex topics to both technical and non-technical audiences. Share examples of how you've successfully communicated with diverse groups.
✨Highlight Your Technical Expertise
With over 2 years of experience required in Python and SQL, be ready to discuss specific projects where you've built ML models or used data visualization tools. Prepare to showcase your technical skills through practical examples.
✨Prepare for Collaborative Scenarios
As a Data Scientist at Dataiku, collaboration is key. Think of instances where you've worked with cross-functional teams or clients to co-develop projects. Be ready to share these experiences during the interview.
