Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team to develop innovative valuation and pricing models for the automotive industry.
- Company: Cinch is part of Constellation Automotive Group, Europe's largest digital car marketplace.
- Benefits: Enjoy competitive salary, hybrid working, and a fantastic benefits package including pension and mental health support.
- Why this job: Make a real impact in a dynamic industry while growing your leadership skills in a supportive environment.
- Qualifications: Experience in machine learning, team management, and strong communication skills are essential.
- Other info: Join a forward-thinking company that values innovation and employee well-being.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Data Science Manager (Valuations & Pricing) Join to apply for the Data Science Manager (Valuations & Pricing) role at cinch Data Science Manager (Valuations & Pricing) 1 day ago Be among the first 25 applicants Join to apply for the Data Science Manager (Valuations & Pricing) role at cinch Get AI-powered advice on this job and more exclusive features. Direct message the job poster from cinch Job Title: Data Science Manager (Valuations & Pricing) Salary: Competitive + Car Allowance + Bonus + Benefits! Location: Hybrid working, home & 1-2 days a week in either BCA Hook or BCA King\’s Cross Working Hours: Monday – Friday, 40 hours Job Status: Permanent Who we are! The Constellation Automotive Group is the largest vertically integrated digital car marketplace in Europe, combining the leading digital brands across the segments of Consumer to Business (C2B), Business to Business (B2B) and Business to Consumer (B2C). Businesses in our group include house-hold names such as cinch, We Buy Any Car, and Marshall Motor Group as well as industry leading British Car Auctions (BCA). Our Data Science function – now in its tenth year – sits across the Constellation Automotive Group and is at the forefront of providing data products and services that help underpin the success of these companies. Our cross-group remit is broad with our models ranging from valuation and commercial pricing to marketing and personalisation, through to operational optimisation including stock selection, delivery route optimisation and vehicle refurbishment. Now, this is where you fit in… As Data Science Manager for our Valuations and Pricing team, you’ll be responsible for leading the team responsible for our flagship valuation models and commercially aligned pricing models used across the group and industry to value vehicles, provide part-exchange pricing and ultimately maximising profitability within each division. You’ll leverage our best-in-class framework to push continuous innovation in these products, working with our Head of Data Science to set the strategy for the Valuations and Pricing team. The ideal candidate will be highly motivated by the opportunity to develop their team through coaching and mentoring, while also being willing to be hands-on, working with our Senior Staff Engineer to provide technical leadership to the team. You’ll have great technical understanding of various machine learning approaches, which would include regression methods, probabilistic pricing models, tree based gradient boosting approaches, information theory, neural networks, transfer learning, etc. While your focus will be primarily on the Valuations and Pricing Team you’ll also work alongside your peers in the Marketing & Personalisation team and Operations team to contribute through-leadership. As such, experience with Marketing Data Science (think Marketing Mix Modelling, Multi-touch attribution) or Operational Research is also welcome. In return you’ll receive coaching and mentoring to grow as a people manager. Opportunity to have a clear and tangible impact across a group of businesses with senior stakeholder engagement. And you’ll be supported by our experienced MLOps and Data Engineering teams, allowing you more time to focus on model development, research and the implementation of new novel machine learning approaches. Key Responsibilities: Lead the Valuations & Pricing Team ensuring the on-going improvements in KPIs associated with the team’s products Manage, coach and mentor a team of data scientists. Ensuring they achieve their growth goals and deliver anticipated business outcomes. Envision and support the team in implementing new ML solutions to address and prescribe for identified business priorities. Engage and build strong relationships with stakeholders across the group to identify new opportunities, communicate progress with innovations and promote the use of Valuation and Pricing products. Own the roadmap for the Valuations and Pricing team agreeing priorities with stakeholders and the Head of Data Science and enable the team to deliver against agreed targets. Work closely with the Machine Learning Operations team to deliver products to end users, leveraging and contributing to established engineering standards and best practices. Work collaboratively with the Insight & Analytics and Data Engineering teams to integrate model outputs into our data platform, ensuring their effective use in analysis and reporting Identify and drive improvements in our product lifecycle and machine learning pipelines, enhancing efficiency and enabling the team to innovate rapidly. Utilisation of models to develop and disseminate market intelligence in a clear and concise manner to BCA’s Senior Leadership. Explain the implications of models and model insights to business stakeholders and external customers in an easy-to-understand way. Knowledge and Experience: Required Skills: Experience engineering machine learning products to a high standard using Python. Excellent team management skills to lead, motivate and grow a diverse team who are geographically dispersed. Comfortable using a multi-platform stack to deliver products (Databricks, Azure ML Studio, Azure and Snowflake, SageMaker, AWS). Ability to take ownership of a broad data product-set and drive forward the delivery of new products and product features. Strong ability to communicate complex concepts clearly and concisely to technical and non-technical audiences of various levels of seniority. Proven ability to manage stakeholders. Broad expertise in machine learning methodologies, including predictive modelling, pattern recognition, and optimization techniques. Experience with reinforcement learning or transfer learning is a plus Excellent ability to gather, develop, prioritise and deliver customer requirements. Experience with continuous integration tools, such as Azure DevOps Pipelines or GitHub Actions, for automating reporting and model deployment. Strong attention to detail, well organised and proactive in identifying and owning issues as they arise. Experience of working in an Agile framework is a plus. Experience in Marketing Data Science or Operational Research is also desirable. We’ve put everything in place to ensure you thrive. Competitive salaries, strong core values and an excellent benefits package that includes: Company Pension Scheme An Employee Assistance Programme Enhanced maternity, paternity, and adoption leave Access to trained Mental Health First Aiders And so much more… As the automotive industry changes, we’re changing with it – putting our people in the front seat for the journey. We’re the number one in what we do for a reason and that’s because of the people we have on our teams. If you want to be a part of a business like this; unrivalled, exciting and appreciative of the work you do, join BCA. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Industries Software Development Referrals increase your chances of interviewing at cinch by 2x Sign in to set job alerts for “Data Science Manager” roles. Reading, England, United Kingdom 2 weeks ago Reading, England, United Kingdom 1 week ago Wokingham, England, United Kingdom 2 weeks ago Slough, England, United Kingdom 1 week ago Reading, England, United Kingdom 1 day ago Windsor, England, United Kingdom 6 months ago South East, England, United Kingdom 4 weeks ago Slough, England, United Kingdom 1 week ago Hampshire, England, United Kingdom 3 weeks ago Surrey, England, United Kingdom 2 weeks ago Slough, England, United Kingdom 1 week ago Slough, England, United Kingdom 3 days ago Data Science Manager (Valuations & Pricing) Reading, England, United Kingdom 21 hours ago Senior Data Scientist (Internal Audit) – 12 month FTE Reading, England, United Kingdom 20 hours ago Aldermaston Wharf, England, United Kingdom 2 days ago Insurance Data Scientist (Propensity models) – Outside IR35 Reading, England, United Kingdom 1 week ago Senior Data Scientist – Product Innovation Maidenhead, England, United Kingdom 2 weeks ago Slough, England, United Kingdom 2 days ago Bracknell, England, United Kingdom 1 day ago Aldermaston Wharf, England, United Kingdom 2 days ago Bracknell, England, United Kingdom 5 days ago Surrey, England, United Kingdom 4 days ago Bracknell, England, United Kingdom 3 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
Data Science Manager (Valuations & Pricing) employer: cinch
Contact Detail:
cinch Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager (Valuations & Pricing)
✨Tip Number 1
Familiarise yourself with the specific machine learning methodologies mentioned in the job description, such as regression methods and probabilistic pricing models. Being able to discuss these techniques confidently during your interview will demonstrate your technical expertise and alignment with the role.
✨Tip Number 2
Network with current or former employees of cinch or the Constellation Automotive Group. Engaging with them on platforms like LinkedIn can provide you with insider knowledge about the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to showcase your leadership skills by thinking of examples where you've successfully managed a team or project. Highlighting your experience in coaching and mentoring will resonate well with the hiring managers looking for someone to lead their Valuations and Pricing team.
✨Tip Number 4
Research the latest trends in automotive data science and how they relate to valuations and pricing. Being able to discuss current industry developments and how they could impact the role will show your enthusiasm and commitment to staying ahead in the field.
We think you need these skills to ace Data Science Manager (Valuations & Pricing)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in valuations and pricing. Emphasise your technical skills in machine learning, Python, and any experience with tools like Azure ML Studio or Databricks.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how your leadership experience aligns with the role. Mention specific projects where you've successfully led teams or implemented innovative solutions in machine learning.
Showcase Your Technical Skills: Include examples of your work with machine learning methodologies, such as predictive modelling or optimisation techniques. If you have experience with reinforcement learning or transfer learning, make sure to highlight that as well.
Prepare for Stakeholder Engagement: Since the role involves engaging with stakeholders, prepare examples of how you've communicated complex concepts to non-technical audiences. This will demonstrate your ability to bridge the gap between technical and business needs.
How to prepare for a job interview at cinch
✨Showcase Your Technical Skills
As a Data Science Manager, you'll need to demonstrate your expertise in machine learning methodologies. Be prepared to discuss specific projects where you've applied techniques like regression methods or neural networks, and how they contributed to business outcomes.
✨Emphasise Team Leadership Experience
Highlight your experience in managing and mentoring data science teams. Discuss how you've motivated your team members, helped them achieve their growth goals, and fostered a collaborative environment that drives innovation.
✨Prepare for Stakeholder Engagement
Since the role involves engaging with various stakeholders, practice explaining complex data concepts in simple terms. Be ready to share examples of how you've successfully communicated insights to both technical and non-technical audiences.
✨Demonstrate Your Problem-Solving Approach
Be prepared to discuss how you identify business priorities and implement machine learning solutions. Share specific examples of challenges you've faced in previous roles and how you approached solving them, particularly in relation to valuations and pricing.
