Data Scientist
Ondo FinanceSalary not specified
Full Time
Junior (1 to 2 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data Science, RetailIndustries
Requirements
- Degree in a relevant subject
- Proficiency in programming languages such as PySpark, Python or SQL
- Experience in Data Visualization tools and BI (Power BI, Excel)
- Strong understanding of analytical techniques and technology
- Proficiency in quality assurance and testing
- Experience in Retail Analytics (Desirable)
- French speaking (Desirable)
Responsibilities
- Investigate and analyze complex data sets to extract valuable insights
- Turn business problem into analytical plans
- Collaborate with cross-functional teams to deliver data-driven solutions
- Re-use existing dunnhumby science or develop and implement algorithms and machine learning models
- Deploy and maintain scalable data applications
- Continuously explore and leverage new technologies and methodologies
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What skills are required for the Senior Applied Data Scientist role?
Required skills include a degree in a relevant subject, proficiency in programming languages such as PySpark, Python or SQL, experience in Data Visualization tools and BI like Power BI and Excel, strong understanding of analytical techniques and technology, and proficiency in quality assurance and testing. Desirable skills are experience in Retail Analytics and French speaking.
What benefits and perks does dunnhumby offer?
Employees enjoy a comprehensive rewards package, personal flexibility, flexible working hours, birthday off, investment in cutting-edge technology, and a nimble small-business feel with freedom to experiment and learn. The company also emphasizes diversity and inclusion through thriving networks like dh Gender Equality Network and dh Proud.
What is the company culture like at dunnhumby?
dunnhumby fosters a dynamic, innovative environment with a nimble small-business feel that encourages freedom to play, experiment, and learn, while investing in cutting-edge technology. They live diversity and inclusion every day through thriving networks and put the Customer First.
Is remote work or flexible working available?
Yes, dunnhumby offers a degree of personal flexibility and thoughtful perks like flexible working hours.
What makes a strong candidate for this position?
A strong candidate will have a relevant degree, proficiency in PySpark, Python or SQL, experience with data visualization tools like Power BI and Excel, and skills in analytical techniques, quality assurance, and testing. Desirable experience in Retail Analytics and French speaking will strengthen an application.
dunnhumby
Customer data analytics for retail optimization
About dunnhumby
dunnhumby specializes in Customer Data Science, focusing on enhancing customer experiences for retailers and brands through data analysis. The company uses advanced analytics to interpret customer behavior, preferences, and trends, which allows clients to implement targeted marketing campaigns. Instead of storing personal data, dunnhumby analyzes data using unique identifiers from browsers and devices to maintain privacy. Its services include media solutions, customer insights, and personalized marketing strategies, which help clients improve customer engagement and sales. Additionally, dunnhumby Ventures invests in early-stage retail technology startups, ensuring the company remains at the forefront of retail innovation. The main goal of dunnhumby is to empower businesses to create better customer experiences through data-driven insights.
London, United KingdomHeadquarters
1989Year Founded
BUYOUT_LBOCompany Stage
Data & Analytics, Consulting, Venture Capital, Consumer GoodsIndustries
1,001-5,000Employees
Benefits
Flexible Work Hours
Unlimited Paid Time Off
Remote Work Options
Risks
Departure of key media team member may disrupt dunnhumby's media strategy.
Challenges in integrating startups with enterprises could misalign innovation goals.
Data privacy concerns may arise from partnerships, affecting client trust.
Differentiation
dunnhumby leverages AI to optimize product selection and inventory management.
The company offers a unique Competitive Threat Evaluator for strategic market insights.
dunnhumby partners with startups through its Retail Innovation Network to drive retail tech.
Upsides
Real-time data analytics partnerships enhance dunnhumby's market adaptability.
AI-powered tools position dunnhumby as a leader in competitive retail analysis.
The Retail Innovation Network fosters collaboration, boosting innovation in retail technology.
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