Senior Research Data Scientist at dunnhumby

London, England, United Kingdom

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Retail, Consumer Goods, Data ScienceIndustries

Requirements

A relevant degree in a statistical, mathematical, or related discipline
Strong knowledge of statistical and mathematical methodologies, including forecasting, regression, linear models, time series analysis, hypothesis testing, and optimization
Proven ability to prototype solutions using Python and Spark, enabling development and testing of algorithms on large-scale datasets
Solid understanding of machine learning techniques and their applications in classification, prediction, and clustering
Expertise in experimental design methodologies
Hands-on experience implementing at scale deep learning based solutions, including the use of frameworks such as PyTorch
Familiarity with transformer based models. Direct experience building and training these would be a plus
Ability to research and apply the latest machine learning approaches
Strong grasp of Object-Oriented Programming principles
Effective stakeholder management and communication skills
Experience developing solutions in areas such as Causal AI or Generative AI
Able to work quickly and independently with new tools and new subjects based on project needs

Responsibilities

Translating a complex business problem into a data science problem and solving that with scalable and state-of-the art AI algorithms
Helping identify new opportunities within the Data Science space for future dunnhumby solutions

Skills

Key technologies and capabilities for this role

PythonSparkPyTorchforecastingregressionlinear modelstime series analysishypothesis testingoptimizationmachine learningclassificationpredictionclusteringexperimental designdeep learning

Questions & Answers

Common questions about this position

What skills and experience are required for the Senior Research Data Scientist role?

Candidates need a relevant degree in a statistical, mathematical, or related discipline, strong knowledge of statistical methodologies like forecasting, regression, time series analysis, and optimization, proven ability to prototype with Python and Spark, solid understanding of machine learning techniques, expertise in experimental design, hands-on experience with deep learning using PyTorch, familiarity with transformer models, and experience in Causal AI or Generative AI.

What benefits and perks does dunnhumby offer?

You'll enjoy a comprehensive rewards package, personal flexibility, thoughtful perks like flexible working hours and your birthday off, investment in cutting-edge technology, and a nimble small-business feel that allows freedom to experiment and learn.

Is this a remote or flexible work position?

The role offers a degree of personal flexibility and thoughtful perks like flexible working hours.

What is the company culture like at dunnhumby?

dunnhumby has a nimble, small-business feel that gives freedom to play, experiment, and learn, with investment in cutting-edge technology and a focus on putting the Customer First.

What makes a strong candidate for this Senior Research Data Scientist position?

Strong candidates will have hands-on experience implementing deep learning solutions at scale with PyTorch, familiarity or direct experience with transformer models, ability to research and apply the latest machine learning approaches, effective stakeholder communication, and the ability to work quickly and independently on new tools and subjects.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free