Data Science Manager - Pricing

Domestic & General Service GmbH
London
1 month ago
Applications closed

Related Jobs

View all jobs

Manager (Data Science)

Data Science Manager

Data Science Manager (Metaheuristics)

Data Science Manager

Data Science Manager

Data Science Manager

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

  • 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.
  • 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.
  • Where necessary, 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, being a thought leader for decision science.

Requirements

  • Excellent relationship management.
  • Innovative and pragmatic problem solver.
  • Find opportunities to enhance the business through data and data science practices.
  • 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 and become a bridge between more traditional areas of business, driving them to be more sophisticated.
  • 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, ensuring best practices.
  • Excellent at data wrangling and ability to analyse data where required.
  • Ability to understand multiple domains and how to implement data science into them.
  • 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, 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 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. We are expanding our horizons, entering new markets and territories internationally and we need your expertise to help us on the journey.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.