Data Scientist

Data Scientist London, England

New Look
Full Time London, England 65280 - 77993 GBP ANNUAL Today
Job description

Data Scientist
Permanent

apply by 30/04/2023

Apply now

We’re New Look and we’ve been at the forefront of British high-street fashion since 1969. Over the last 50 years, we’ve grown to be a global, multichannel brand offering on-trend, value-driven fashion for women, men, girls and boys.

Our passion is feel-good fashion at feel-good prices – and we truly believe that all starts with us. Our values inspire us every day: we play to win, we’re customer-obsessed and we work as one to give each and every one of our customers That New Look Feeling.

Responsibilities:

Collect, process, and clean large datasets to identify patterns, trends, and insights.
Develop predictive models, algorithms, and statistical models to solve complex business problems.
Collaborate with cross-functional teams to understand business requirements and ensure that data-driven solutions are aligned with company goals.
Communicate findings and insights to stakeholders through data visualizations, reports, and presentations.
Stay up to date with the latest advancements in data science and machine learning.
Implement data-driven solutions into production and monitor their performance.
Continuously evaluate and improve existing models and processes.
Deliver analysis and insight which can help drive new/existing revenue streams.
Help answer the wider strategic questions faced by the senior management team.

Skills and Education

Master’s degree or PhD in Computer Science, Mathematics, Statistics, or a related field.
Strong experience in data analysis, statistical modelling, and machine learning.
Excellent knowledge of programming languages such as Python and R.
Proficient in SQL and databases such as MySQL and PostgreSQL.
Ability to effectively communicate technical concepts to non-technical stakeholders.
Strong problem-solving and critical thinking skills.
Experience building and deploying machine learning models on at least one cloud provider (preferably Azure)
Proven experience in building models and algorithms from scratch
Experience in technologies such as Apache Hadoop, Spark and NoSQL databases
Experience with time series analysis, modelling, and forecasting
Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras NLP experience
Experience with big data processing framework such as PySpark Experience with a cloud-based platform for big data processing and machine learning such as Databricks

Behavioural Skills

You are committed and determined to break down barriers to progress and you deliver results quickly. You innovate boldly and make improvements to solve business wide problems. You lead others by inspiring and always embrace change.

You demonstrate strong communication skills, being able to communicate effectively with all levels of the business through compelling insights and effective presentation of results. You build and develop effective relationships.

You conduct regular performance reviews. You are proactive in managing performance and ensuring constructive feedback, praise, and recognition when appropriate.

You always display a confident and professional style, taking appropriate action to influence senior management and the wider business.

You are able to adapt your style, content, and method of communication to the situation and audience.

You encourage people to be individual and unique, allowing them to be confident and act on their beliefs.

Why New Look?

The amazing people, the love for fashion- there are so many reasons to love working at New Look. We prioritise development, offering training to support your progression, so you can be at your absolute best and achieve your goals. You’ll also receive these amazing benefits, to name only a few:

40% staff discount
Monthly 25% off privilege vouchers for family and friends to enjoy
Quarterly sample sales
Season ticket loans


Apply now

Data Scientist
New Look

www.newlook.co.uk
London, United Kingdom
Alistair McGeorge
Unknown / Non-Applicable
10000+ Employees
Company - Private
Department, Clothing & Shoe Stores
1969
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