Data Science Manager - Pricing

Data Science Manager - Pricing

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
D

At a Glance

  • Tasks: Lead a team of data scientists to optimise pricing strategies and deliver impactful business solutions.
  • Company: Join Domestic & General, a tech-driven company focused on data to enhance customer trust and decision-making.
  • Benefits: Enjoy competitive salary, 25 days leave, health cash plan, and flexible work options.
  • Why this job: Be part of a collaborative culture that values data-driven decisions and innovative problem-solving.
  • Qualifications: Strong statistical skills, team management experience, and proficiency in machine learning required.
  • Other info: D&G promotes equal opportunities and has a thorough referencing process for applicants.

The predicted salary is between 43200 - 72000 £ per year.

D&G (Domestic & General) is an ambitious data and technology-powered business. Customer, Business and People Data are essential to build trust in critical data to make better, faster decisions.

We are looking for a versatile Pricing manager to lead a team of data scientists and analysts to deliver business and customer value through the use of cutting-edge techniques. This person will have the ability to manage a team of highly technical individuals, as well as strategically deliver business projects across areas such as pricing optimisation, model performance evaluation, pricing related business indicators and adhoc analysis.

Responsibilities:
  • Be a key contributor to the pricing strategy across multiple business areas.
  • Lead a team of data scientists and analysts to achieve the business’ objectives across multiple use cases such as pricing optimisation, models and analysis.
  • Influence the evolution and continuous improvement of the company’s predictive modelling and machine learning techniques to deliver high impact solutions.
  • Work as part of companywide collaborative squads, ensuring data driven decisions, with the use of predictive analytics.
  • Analyse, communicate and explain data science use across multiple projects in a way that will influence key stakeholders from across the business.
  • Monitor performance, profitability, and competitor behaviour to help hit business targets.
  • Ensure that recommendations result in customers being treated fairly.
  • Be an advocate for data driven decisions and decision science across internal and external stakeholders.
Requirements:
  • Excellent relationship management.
  • Innovative and pragmatic problem solver.
  • In-depth statistical skills, with the ability to criticise, review and sign-off models to then be deployed live.
  • Ability to translate between both technical and non-technical colleagues.
  • Understanding and ability to actively implement statistical tests and analyses, scripting, and automation techniques for efficient model implementations.
  • Use of AWS or Databricks to help guide the team in building pipelines and models for data science.
  • Excellent at data wrangling and ability to analyse data where required.
  • Strong understanding of domains such as pricing and statistics as well as the key drivers of performance within the financial services sector.
  • Proficient in Machine Learning models.
  • Experience managing teams.

We offer lots of great benefits! Some of which include:

  • Competitive salary and annual discretionary bonus.
  • 25 days annual leave plus bank/public holidays, with an option to buy up to 5 additional days of annual leave.
  • Training opportunities and clearly defined career progression.
  • Health cash plan – employer funded cover for essential healthcare costs.
  • Attractive company pension scheme.
  • Life assurance – employer funded cover of 4x basic salary.
  • Dedicated online benefit portal offering access to saving and lending facilities.
  • Salary Finance – access to savings and borrowing through payroll.
  • Car Leasing – access to a carbon neutral salary sacrifice car leasing scheme.
  • Travel Loans – interest free loans for annual travel tickets.
  • Cycle to Work – tax efficient bike and cycling equipment worth up to £1,000.
  • Health & Wellbeing – discounted gym membership and online virtual workout sessions.
  • Employee Assistance Programme – specialist advice and support on various issues.
  • Free Domestic & General protection plan – one free plan each year.
  • Employee discounts – access to discounted Sky TV and broadband packages.

Domestic & General is an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status.

Please note that we have a thorough referencing process, which includes criminal record checks.

At Domestic & General, we are proud of our 100-year legacy and excited about our future growth plans.

Data Science Manager - Pricing employer: Domestic & General Service GmbH

At Domestic & General, we pride ourselves on being an innovative employer that champions data-driven decision-making and fosters a collaborative work culture. Our Data Science Manager - Pricing role offers not only competitive salaries and generous benefits, including a health cash plan and career progression opportunities, but also the chance to lead a talented team in a dynamic environment that values employee growth and well-being. Join us in our mission to shape the future of our business while enjoying a supportive atmosphere that encourages personal and professional development.
D

Contact Detail:

Domestic & General Service GmbH Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Science Manager - Pricing

✨Tip Number 1

Familiarise yourself with the latest trends in pricing optimisation and machine learning techniques. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.

✨Tip Number 2

Network with professionals in the data science and pricing sectors. Attend industry events or webinars where you can meet potential colleagues or leaders from D&G, as personal connections can often lead to job opportunities.

✨Tip Number 3

Prepare to showcase your leadership skills by thinking of examples where you've successfully managed teams or projects. Highlighting your ability to bridge technical and non-technical discussions will be crucial for this role.

✨Tip Number 4

Research D&G's current pricing strategies and any recent changes in their business model. Being informed about their operations will allow you to tailor your discussions and show how you can contribute to their goals.

We think you need these skills to ace Data Science Manager - Pricing

Team Leadership
Data Science Expertise
Statistical Analysis
Machine Learning Proficiency
Pricing Optimisation
Predictive Modelling
Data Wrangling
Relationship Management
Problem-Solving Skills
Communication Skills
Technical and Non-Technical Translation
Automation Techniques
Experience with AWS or Databricks
Understanding of Financial Services Sector
Performance Monitoring

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data science, team management, and pricing strategies. Use specific examples that demonstrate your ability to lead teams and deliver impactful solutions.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven decision-making and how your skills align with the company's goals. Mention your experience with predictive modelling and machine learning, and how you can contribute to their pricing strategy.

Showcase Your Technical Skills: Clearly outline your technical skills related to data science, such as proficiency in AWS or Databricks, statistical analysis, and machine learning models. Provide examples of how you've successfully implemented these skills in previous roles.

Highlight Relationship Management: Since excellent relationship management is crucial for this role, include examples of how you've effectively communicated and collaborated with both technical and non-technical stakeholders in past projects.

How to prepare for a job interview at Domestic & General Service GmbH

✨Showcase Your Leadership Skills

As a Data Science Manager, you'll be leading a team. Be prepared to discuss your leadership style and provide examples of how you've successfully managed teams in the past. Highlight your ability to motivate and guide technical individuals towards achieving business objectives.

✨Demonstrate Technical Proficiency

Make sure to brush up on your statistical skills and machine learning knowledge. Be ready to discuss specific models you've worked with and how you've implemented them in real-world scenarios. This will show that you can bridge the gap between technical and non-technical colleagues.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving abilities. Prepare to discuss how you would approach pricing optimisation or model performance evaluation. Use examples from your previous experience to illustrate your thought process and decision-making skills.

✨Understand the Business Context

Familiarise yourself with the financial services sector and the key drivers of performance within it. Be ready to discuss how data science can enhance business practices and contribute to strategic goals. This will demonstrate your understanding of the company's needs and how you can add value.

Data Science Manager - Pricing
Domestic & General Service GmbH
D
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>