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- Tasks: Lead and build data models to enhance customer experience through hyper-personalisation.
- Company: Global ecommerce marketplace focused on sustainability and innovation.
- Benefits: Flexible remote work, 28 days holiday, private healthcare, and employee discounts.
- Why this job: Join a dynamic team transforming ecommerce with cutting-edge technology and analytics.
- Qualifications: Experience in Data Science, machine learning, and programming languages like Python and Java.
- Other info: Collaborative environment with opportunities for professional growth and impact.
The predicted salary is between 48000 - 72000 ÂŁ per year.
We're helping a global ecommerce marketplace build out their Data & Analytics teams. With over 20,000 employees in 41 locations around the world, our client traverses a number of consumer industries. They are passionate about transforming the ecommerce sector by investing in and deploying next-generation technology and automation. Sustainability is at the core of their business; they aim to leave a positive impact on all stakeholders including employees, customers and partners, helping to build sustainable local communities on a global scale.
Data Scientists are handsâon with building models that allow our client to hyperâpersonalise their customer experience. In addition, at a leadership level, Data Scientists work as internal consultants within the business, advising executive teams on all things concerning predictive analytics and machine learning.
A hybrid role which is both handsâon with building models and involves consulting throughout the wider business, serving as the Data Science SME for the core customerâfacing platform. Collaborating with Customer Experience, Product, Design and Engineering teams to demonstrate use cases for hyperâpersonalisation, intelligent site navigation and behavioural segmentation. Working with Optimisation teams on projects that can draw from advances in Big Data & Machine Learning. Designing frameworks that lead to the optimisation of precision marketing. Providing technical leadership to the wider team, both inâhouse and agencyâside.
Some of the things that we are looking for:
- Experience working as a Data Scientist or Senior Data Scientist in a commercial environment.
- A background leading Data Science teams in an eCommerce or conversion rate optimisationâfocused environment is a plus.
- Handsâon experience with Machine & Deep Learning, AI and Neural Networks tools including Python, Spark, Tensor Flow.
- Competencies across core programming languages including Python, Java, C / C++, R.
- Ability to work in a crossâfunctional environment, managing stakeholders across multiple stakeholders and translating research into practical solutions for predictive analytics.
- Experience in solution design, architecting and outlining data analytics pipelines and flows.
- Advanced Mathematics skills including experience with Bayesian statistics, linear algebra and MVT calculus, advanced data modelling and algorithm design experience.
- Design and deployment experience using Tensor Flow, Spark ML, CNTK, Torch or Caffe.
The perks include a flexible environment, allowing 1â2 days of remote working per week, 28 days holiday + a competitive pension scheme, private healthcare, dental and travel insurance for you and your immediate family, employee discounts to be used inâstore and online, free breakfast, season ticket loan, cycle to work schemes and various partner discounts.
Lead Data Scientist in London employer: Match Digital
Contact Detail:
Match Digital Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Lead Data Scientist in London
â¨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone whoâs already in the role you want. Building relationships can open doors that a CV just canât.
â¨Show Off Your Skills
Donât just talk about your experience; showcase it! Create a portfolio of your projects, especially those involving machine learning and predictive analytics. This will give potential employers a taste of what you can do.
â¨Tailor Your Approach
When reaching out to companies, make sure to tailor your message to them. Mention specific projects or values that resonate with you, especially around sustainability and innovation in eCommerce. It shows youâve done your homework!
â¨Apply Through Our Website
We highly recommend applying through our website for the best chance at landing that Lead Data Scientist role. It streamlines the process and ensures your application gets the attention it deserves!
We think you need these skills to ace Lead Data Scientist in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the Lead Data Scientist role. Highlight your experience with Machine Learning, AI, and any relevant eCommerce projects. We want to see how your skills align with what our client is looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to transforming the eCommerce sector. Let us know what excites you about this opportunity!
Showcase Your Technical Skills: Donât forget to mention your hands-on experience with tools like Python, TensorFlow, and Spark. Weâre keen to see how you've applied these in real-world scenarios, so be specific about your projects and outcomes.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you donât miss out on any updates from us!
How to prepare for a job interview at Match Digital
â¨Know Your Tech Inside Out
Make sure youâre well-versed in the tools and technologies mentioned in the job description, like Python, TensorFlow, and Spark. Brush up on your machine learning concepts and be ready to discuss how you've applied them in real-world scenarios.
â¨Showcase Your Leadership Skills
As a Lead Data Scientist, you'll need to demonstrate your ability to lead and consult. Prepare examples of how you've guided teams or influenced decision-making in previous roles. Highlight any experience you have in cross-functional collaboration.
â¨Prepare for Case Studies
Expect to tackle case studies or technical challenges during the interview. Practice explaining your thought process clearly and logically. This will show your problem-solving skills and how you approach data-driven decisions.
â¨Align with Their Values
Research the companyâs commitment to sustainability and community impact. Be ready to discuss how your values align with theirs and how you can contribute to their mission of transforming the ecommerce sector.
