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Data Science Manager

Abm Renovation

Leicester

Hybrid

GBP 80,000 - 100,000

Full time

3 days ago
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Job summary

An established industry player is seeking a Data Science Manager to drive significant commercial value through data-driven customer experiences. This hybrid role offers the chance to collaborate with various teams, implement advanced data science techniques, and present insights to senior stakeholders. You'll leverage your expertise in machine learning and data analysis to enhance product profitability forecasts and personalize customer interactions. If you're passionate about making a real impact in a fast-paced eCommerce environment, this opportunity is perfect for you.

Qualifications

  • Strong expertise in data science techniques, including regression and machine learning.
  • Proficiency in SQL and Python; experience with PySpark is beneficial.

Responsibilities

  • Collaborate with teams to understand challenges and own technical solutions.
  • Analyze large datasets to build predictive models and optimize content presentation.

Skills

Data Science Techniques
Machine Learning
Regression Analysis
Classification
Python
SQL
Deep Learning
Analytical Skills
Communication Skills

Tools

PySpark
SparkSQL

Job description

Join to apply for the Data Science Manager role at INOVERSE GROUPE

6 days ago Be among the first 25 applicants

Join to apply for the Data Science Manager role at INOVERSE GROUPE

Data Science Manager / Up to £100,000 / Permanent / 2 days a week onsite

We are looking for a Data Science Manager to join a growing Data Science team within a leading eCommerce organisation. This is an exciting opportunity to drive significant commercial value in a fast-paced environment.

This role will focus on optimising how we present content to customers—ensuring the right products are surfaced at the right time and through the right channels. We are seeking a highly skilled data scientist with a strong technical foundation, excellent communication skills, and a passion for applying data science to real-world commercial challenges.

This is a hybrid role, offering a mix of office and remote work. The company's main headquarters are based in Leicestershire, and we welcome applicants from across the UK.

About The Role
  1. Collaborate with teams across the business to understand challenges and own the technical solutions, identifying opportunities to deliver value.
  2. Implement search optimisation techniques, including vector embedding of search terms and product items.
  3. Develop deep learning and regression models for product profitability forecasts.
  4. Work closely with data engineering and software development teams to define technical requirements and ensure timely delivery.
  5. Analyze large datasets from various sources to build predictive models.
  6. Apply machine learning techniques to personalise customer experiences and optimise content presentation.
  7. Design and execute testing strategies to validate hypotheses and measure commercial impact.
  8. Present insights and recommendations to senior stakeholders, including C-suite executives.
  9. Proactively identify opportunities for personalisation and customer experience improvements.
About You
  1. Strong expertise in data science techniques, including regression, classification, and machine learning. Experience with deep learning or generative AI is a plus.
  2. Proficiency in (Spark)SQL and Python; experience with PySpark is beneficial.
  3. Experience designing and implementing robust testing frameworks.
  4. Strong analytical skills with keen attention to detail.
  5. Excellent communication skills, comfortable presenting insights and crafting data-driven narratives.
  6. Effective time management and ability to handle multiple projects.
  7. Enthusiastic, eager to learn, with a collaborative yet self-sufficient working style.

This is an exciting opportunity to shape data-driven customer experiences for a leading eCommerce business. If you're passionate about data science and want to make a real commercial impact, we'd love to hear from you!

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