Data Science Manager - Pricing
Data Science Manager - Pricing

Data Science Manager - Pricing

London Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead a team of data scientists to optimize pricing strategies and deliver impactful business solutions.
  • Company: Join Domestic & General, a tech-driven leader in appliance aftercare with over 100 years of experience.
  • Benefits: Enjoy competitive salary, generous leave, health plans, and unique perks like cycle-to-work schemes and travel loans.
  • Why this job: Be part of a transformative journey, influencing data-driven decisions and shaping the future of pricing strategies.
  • Qualifications: Strong statistical skills, team management experience, and proficiency in machine learning and data science practices required.
  • Other info: D&G values diversity and offers clear career progression with tailored support throughout your journey.

The predicted salary is between 48000 - 72000 £ per year.

Data Science Manager – Pricing

Data Science Manager – Pricing

Apply remote type Hybrid locations Wimbledon, UK time type Full time posted on Posted 2 Days Ago time left to apply End Date: April 18, 2025 (30+ days left to apply) job requisition id JR100504

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.

About the role

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. Spotting opportunities and working across multiple areas of the business to help us deliver the key business goals. 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

  1. Be a key contributor to the pricing strategy across multiple business areas.
  2. Lead a team of data scientists and analysts to achieve the business’ objectives across multiple use cases such as pricing optimisation, models and analysis.
  3. Influence the evolution and continuous improvement of the company’s predictive modelling and machine learning techniques to deliver high impact solutions.
  4. Work as part of companywide collaborative squads, ensuring data driven decisions, with the use of predictive analytics.
  5. Be able to analyse, communicate and explain data science use across multiple projects in a way that will influence key stakeholders from across the business.
  6. Where necessary monitor performance, profitability, and competitor behaviour to help hit business targets.
  7. Ensure that recommendations result in customers being treated fairly.
  8. Be an advocate for data driven decisions and decision science across internal and external stakeholders, being a thought leader for decision science.

Requirements

  1. Excellent relationship management.
  2. Innovative and pragmatic problem solver.
  3. Find opportunities to enhance the business through data and data science practices.
  4. In-depth statistical skills, with the ability to criticise, review and sign-off models to then be deployed live.
  5. Ability to translate between both technical and non-technical colleagues and become a bridge between more traditional areas of business, driving them to be more sophisticated.
  6. Understanding and ability to actively implement statistical tests and analyses, scripting, and automation techniques for efficient model implementations.
  7. Use of AWS or Databricks to help guide the team in building pipelines and models for data science, ensuring best practices.
  8. Excellent at data wrangling and ability to analyse data where required.
  9. Ability to understand multiple domains and how to implement data science into them.
  10. Strong understanding of domains such as pricing and statistics as well as the key drivers of performance within the financial services sector.
  11. Data driven, customer level strategic decision/data science techniques.
  12. Proficient in Machine Learning models.
  13. 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, as well as an annual option to buy up to 5 additional days of annual leave
  • Training opportunities as well as clearly defined career progression
  • Health cash plan – employer funded cover to enable you to claim money back on essential healthcare costs, including dental, optical, physiotherapy and many more. Cover also includes unlimited access to a 24/7 virtual GP service
  • Attractive company pension scheme
  • Life assurance – employer funded cover of 4x basic salary
  • Dedicated online benefit portal offering access to saving and lending facilities, financial wellbeing and support services
  • Salary Finance – access to savings and borrowing through payroll
  • Car Leasing – access to a carbon neutral salary sacrifice car leasing scheme, with an all-inclusive monthly cost covering all charge, taxes, insurance, repairs and maintenance on a range of brand new vehicles
  • Travel Loans – interest free loans to help spread the cost of annual travel tickets
  • Cycle to Work – tax efficient bike and cycling equipment worth up to £1,000
  • Health & Wellbeing – discounted gym membership, online virtual workout sessions, online culinary classes
  • OnHand – Giving you the opportunity to be an Eco & Social volunteer via a handy app. Volunteer individually or in groups to get involved in Youth Mentoring, Food Poverty, Homelessness & Elderly help
  • Employee Assistance Programme – specialist advice and support on issues such as finance, relationships, illness and family issues
  • Free Domestic & General protection plan – one free plan each year with access to discounted rates of up to 50% on additional plans, including referrals for family and friends
  • Employee discounts – access to discounted Sky TV and broadband packages, together with a range of discounts for 100s of online and high street retailers

Domestic & General are 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. We are expanding our horizons, entering new markets and territories internationally and we need your expertise to help us on the journey.

Domestic & General

For over 100 years, Domestic & General has been a trusted provider of aftercare for domestic appliances for over 16 million customers. You\’ll have tailored support and training throughout your time at Domestic & General, allowing clear career progression in the direction you choose. We\’re transforming a 100-year-old business into a tech-driven platform with a global reach. But to do that, we\’ll need a range of skills from all walks of life. Think you can help?

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Data Science Manager - Pricing employer: Domestic & General

At Domestic & General, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. Located in Wimbledon, UK, our hybrid work model allows for flexibility while providing access to comprehensive benefits, including competitive salaries, generous annual leave, and extensive training opportunities. Join us to be part of a forward-thinking team where your expertise in data science will drive impactful business decisions and contribute to our exciting growth journey.
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Contact Detail:

Domestic & General Recruiting Team

StudySmarter Expert Advice 🤫

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

✨Tip Number 1

Familiarize yourself with the latest trends in pricing optimization and machine learning techniques. Being able to discuss these topics intelligently during your interview will show that you're not only knowledgeable but also passionate about the field.

✨Tip Number 2

Network with current or former employees of Domestic & General on platforms like LinkedIn. This can provide you with insider insights into the company culture and expectations, which can be invaluable during your interview.

✨Tip Number 3

Prepare to demonstrate your leadership skills by discussing past experiences where you've successfully managed teams or projects. Highlight how you influenced decision-making processes and drove results through data-driven strategies.

✨Tip Number 4

Brush up on your statistical analysis skills and be ready to explain complex concepts in simple terms. This will help you connect with both technical and non-technical stakeholders, a key requirement for the role.

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

Team Leadership
Data Science Expertise
Statistical Analysis
Machine Learning Proficiency
Pricing Strategy Development
Predictive Analytics
Relationship Management
Problem-Solving Skills
Data Wrangling
Technical Communication
Automation Techniques
Experience with AWS or Databricks
Understanding of Financial Services
Performance Monitoring
Customer-Centric Decision Making

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Science Manager - Pricing position. Tailor your application to highlight how your skills and experiences align with the job description.

Highlight Relevant Experience: In your CV and cover letter, emphasize your experience in managing teams, working with predictive modeling, and implementing data science techniques. Use specific examples that demonstrate your ability to lead projects and influence stakeholders.

Showcase Technical Skills: Make sure to detail your technical skills, especially in machine learning, statistical analysis, and tools like AWS or Databricks. Provide examples of how you've used these skills to drive business outcomes in previous roles.

Craft a Compelling Cover Letter: Write a cover letter that not only summarizes your qualifications but also conveys your passion for data-driven decision-making and your vision for how you can contribute to the company's pricing strategy. Be sure to address how you can enhance their business through innovative data practices.

How to prepare for a job interview at Domestic & General

✨Showcase Your Leadership Skills

As a Data Science Manager, you'll be leading a team of data scientists and analysts. Be prepared to discuss your previous experiences in managing teams, how you motivate them, and how you handle conflicts. Highlight specific examples where your leadership made a significant impact.

✨Demonstrate Your Technical Expertise

Make sure to brush up on your knowledge of machine learning models, statistical techniques, and data wrangling. Be ready to explain complex concepts in a way that non-technical stakeholders can understand. This will show your ability to bridge the gap between technical and non-technical teams.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving skills and your ability to apply data science techniques to real-world business problems. Think of scenarios related to pricing optimization or model performance evaluation, and be ready to discuss your approach and thought process.

✨Understand the Business Context

Familiarize yourself with the financial services sector and the key drivers of performance within it. Being able to discuss how data science can enhance pricing strategies and improve customer outcomes will demonstrate your alignment with the company's goals and values.

Data Science Manager - Pricing
Domestic & General
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  • Data Science Manager - Pricing

    London
    Full-Time
    48000 - 72000 £ / year (est.)

    Application deadline: 2027-03-28

  • D

    Domestic & General

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