Dunnhumby - Lead Analyst/Lead Data Scientist

About dunnhumby :

dunnhumby is the world's leading customer science company. We analyse data and apply insights from more than 400 million customers across the globe to create better customer experiences and build loyalty. Our insights and strategic process help clients create competitive advantage and enjoy sustained growth. dunnhumby employs more than 2,000 employees in offices throughout Europe, Asia and the Americas, and serves a prestigious list of companies including Tesco,Coca-Cola, Macy's, Procter & Gamble, PepsiCo, etc.

For more information, please visit us at www.dunnhumby.com

Grade 3 - Lead Analyst/ Lead Data Scientist

Overall Purpose :

- Understand clients' business objectives and strategy to ensure that analysis work is focused on areas where most value can be added

- Collaborate across teams to understand business challenges and recommend innovative solutions to meet requirements

- Ability to collate and analyse data from various sources using both traditional and BigData platforms

Key Responsibilities :

- Collaborate with stakeholders/ team leaders in order to understand problem statements and design & execute potential solutions

- Mentor team members and ensure fault-free execution of projects/ solutions

- Integration of multiple sources of data working on BigData platforms. Ability to analyse complex data and processes is necessary.

- Work on multiple unstructured problems to deliver insights/ end-to-end solutions and improve our clients- understanding of their customers using analysis/ statistics/ machine learning algorithms

- Keep abreast of the latest developments in the data science space across industries for potential uses

- Develop an understanding of key dunnhumby capabilities

Experience/ Skills Required :

- Minimum of 5 years of experience in an analytical/ statistical role

- Bachelor's degree (or equivalent) in a Numerical subject e.g. Physics,Engineering, Computer Science, etc.

- Masters qualification in Statistics, Mathematics or Economics

- Strong quantitative background & analytical abilities is necessary

- Strong self-starter

- Strong verbal and written communication skills and ability to interact with senior leaders

- Person should be familiar with at least some of the following software -PYTHON, HIVE, APACHE SPARK

- Logical Thinker and creative problem solver

- Hands-on exposure to 2 or more of the following fields:

- Big data/HADOOP/ Apache Spark

- Ability to synthesize unstructured data and find actionable Themes/insights using Python/SAS

- Knowledge of pattern mining/detection

- Hand-on experience in machine learning/ statistical algorithms :

- Boosting techniques, Decision Trees, Random Forests, Logistic Regression, Neural Nets, SVM, Clustering

- Hands on experience in building machine learning based automated solutions - prototyping, creating self-learning algorithms, etc

- Strong Excel and Power Point skills

Additional Desirable Experience/ Skills :

- Experience of dealing with clients face to face (desired)

- Experience of leading a team (desired)

- Project management skills (desirable)

- Experience of presenting analysis to a wide and non-technical audience (desired)

- Relevant analytical experience in the following industries: retail, consumer goods, telecoms, finance, media, pharmaceutical (desired)

- Experience in working with Consumer Goods or retail clients is an advantage but not mandatory.

People profile / Behavioural skills :

- Comfortable dealing with the cultural and political challenges of working with clients in a different countries speaking different languages

- Willingness and desire to travel or work abroad, for varying periods of time (see special features)

- Ability to communicate complex technical issues in an easy to understand way

- Ability to work to tight deadlines under stressful situations.

- High degree of self-motivation

- Flexibility - within working hours, working location, and also within the level of work that needs to be done