Data Scientist - Experimentation
Hybrid
London, United Kingdom
Full Time
11-03-2025
Job Specifications
We’re Beauty Pie. We’re the world’s first luxury beauty and wellness buyers’ club. And we’re disrupting the beauty industry, one face cream at a time.
Before we arrived on the scene, if you wanted really great beauty products, you had to shop at traditional beauty retail - and overpay for all the crazy markups. Now, our members have access to shop from the best-quality beauty and wellness products (from the leading labs in France, Switzerland, Italy, Germany, Japan, Korea, etc) and get a bigger piece of the Beauty Pie.
So, what will you be doing?
Alongside your manager, working with leaders across Beauty Pie to build a data-driven culture with experimentation at its heart.
In partnership with the team, help the different functions across Beauty Pie to run more experiments and leverage insights generated to inform our product strategy.
Use your broad exposure to Beauty Pie’s data and priorities to self-identify and recommend areas of optimisation.
Alongside your manager, partner with stakeholders to define experiment objectives and translate business objectives into high impact analytical questions and experiments.
In partnership with the data team, present findings and recommendations to leaders and stakeholders in a clear and compelling manner.
Partner with stakeholders and engineering to design high quality experiments, ensuring that best practice is followed and statistical rigor is maintained.
Collaborate with your manager and the wider data team to ensure we deliver impact to the business
In partnership with insight analytics team, role model experimentation across Beauty Pie.
Stay up-to-date with industry trends, best practices, and emerging technologies in experimentation and statistics
We believe it's all about mindset, great skills, the right attitude and a fantastic work ethic. If you’re aligned to our values, excited about the opportunity, and you’re really good at what you do (even if you don’t tick all the boxes) apply anyway!
You have strong experience working as a product analyst or data scientist focussed statistical inference, preferably for a consumer-focussed business.
You thrive in ambiguity, ask incisive questions, take a structured approach to problem-solving and provide clarity
You enjoy collaborating with data peers, in data engineering and data science
You're technically confident, and are comfortable analysing complex, cross domain behavioural data through SQL and Python.
What makes someone ‘Beauty Pie’?
Our culture is our DNA. It defines who we are, how we operate and how we hire. And it all springs from our values, which are very important to us:
Bring Your ‘A’ Game: Take ownership & accountability. Make sh*t happen. Grow. Support. Evolve. Invent. Be open-minded.
Be Intelligently Rebellious: Challenge the status quo. Push boundaries. Embrace change. Think BIG.
Be Customer Obsessed: Listen & learn. Take ownership. Act fast. Be humble & empathetic. Build & keep trust. Be grateful for feedback.
It’s All For One (& One For All): Take advantage of collective intelligence. Act with integrity. Support & challenge. Embrace individuality. Do right by our company, our members, our colleagues & our environment.
We’re committed to diversity & inclusion
As a business that’s based on fairness and self-worth, our commitment to inclusivity runs through the heart of everything we do. We believe that innovation and creativity come from having a diverse workforce, and are committed to building teams with unique identities, from different backgrounds and with individual perspectives.
We’ve got a long way to go, but here’s how we’re doing as of June 2024:
Employees who identify as female: 68%
Employees from minority ethnic backgrounds: 28%
Employees who identify as living with a disability: 10%
Employees who identify as female in our Product Engineering teams: 32%
Employees who identify as LGBTQIA+: 13%
A bit about our ways of working
We thrive on a high-performance culture where action drives results. At Beauty Pie, we trust our teams to take ownership, move fast, and get the job done.
We operate on a hybrid model, with a minimum of three days in the office each week— with some roles requiring more which will be outlined in the job spec.
This structure fosters collaboration, maintains momentum, and strengthens our team environment while allowing some flexibility based on job responsibilities and business needs. In-person connection is essential to how we work, and we expect teams to be present and engaged. We encourage open discussions during the interview process to align expectations for the role you are applying for.
Your piece of the Beauty Pie:
Life & Balance
Free Membership to Beauty Pie + discount off our products
25 days holiday & your birthday off / 22 vacation days for the US team
Flexible bank holidays
Equal leave for all new parents regardless of gender or personal circumstances
Health & Wellbeing
Private Medical Insurance
Menopause support
£2,500 / $2,500 to spend on your fertility journey after 2 years service
10 therapy sessions through AXA PPP
So, what are you waiting for? Apply now for a chance to be part of an inspirational, international and talented team.
Beauty Pie is an equal opportunity employer. The company will not unlawfully discriminate on grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, religion or belief, colour, nationality, ethnic or national origin, disability or age, pregnancy or trade union membership.
Please let us know, if you require reasonable adjustments at any point during the application and/or recruitment process.
About the Company
We’re Beauty Pie. Before we arrived on the scene, if you wanted really great beauty products, you had to shop at traditional beauty retail. And that meant paying massively inflated ‘luxury beauty’ prices . But not any more. We make our premium products in the same labs as other high-end beauty brands (in France, Switzerland, Italy, Germany, Japan, Korea, etc) and give our members access to shop them direct, for a lot less than you’d pay at traditional retail. Because we believe everyone should have access to the very best i... Know more
Related Jobs
- Company Name
- Worldpay
- Job Title
- Data Analyst (Power BI)
- Job Description
- Are you ready to write your next chapter? Make your mark at one of the biggest names in payments. With proven technology, we process the largest volume of payments in the world, driving the global economy every day. When you join Worldpay, you join a global community of experts and changemakers, working to reinvent an industry by constantly evolving how we work and making the way millions of people pay easier, every day. We’re looking for a Data Analyst to join our ever evolving Customer Experience team to help us unleash the potential of every business. Are you ready to make your mark? Then you sound like a Worldpayer. About The Team Our Customer Experience Worldpayers are at the heart of it all — enabling us to provide world-class support to customers. Unwavering dedication and full of enthusiasm, they’re always finding ways for us to grow together. Our Global Planning Team are hiring an exciting new role for a driven data analyst creating data lead analytics to deliver crucial insights to further enhance customer service offering and business performances. What You’ll Own Extracting and manage data sets to deliver vital reports and dashboards Communicating with stakeholders to understand data content and business requirements Organising and transforming information into comprehensible structures Performing statistical analysis of data Creating visually appealing and interactive charts, graphs and dashboards to represent data analysis results Where you’ll own it You’ll own it in our buzzing Gateshead hub. Our sites are hubs of activity, conversation, and openness. With inspiring, stylish workspaces we want people to feel excited to come and do their best work. What You Bring Data management and analytic skills Advanced Knowledge of excel, Power Query and Power BI Excellent analytical skills and attention to detail Knowledge of Tableau, DAX code & Power Automate preferred What Makes a Worldpayer What makes a Worldpayer? It’s simple: Think, Act, Win. We stay curious, always asking the right questions to be better every day, finding creative solutions to simplify the complex. We’re dynamic, every Worldpayer is empowered to make the right decisions for their customers. And we’re determined, always staying open – winning and failing as one. Does this sound like you? Then you sound like a Worldpayer. Apply now to write the next chapter in your career. To find out more about working with us, find us on LinkedIn. Worldpay Perks - What We’ll Bring For You We know it’s bigger than just your career. It’s your life, and your world. That’s why we offer global benefits and programs to support you at every stage. Here’s a taste of what you can expect. A competitive salary and benefits. Time to support charities and give back to your community. Global recognition platform Global employee assistance program. Privacy Statement Worldpay is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how Worldpay protects personal information online, please see the Online Privacy Notice. Sourcing Model Recruitment at Worldpay works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. Worldpay does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. #pridepass
- Company Name
- Williams Racing
- Job Title
- D365 F&O Systems Data Analyst
- Job Description
- Company Description For almost 50 years, Williams Racing has been at the forefront of one of the fastest sports on the planet, being one of the top three most successful teams in history competing in the FIA Formula 1 World Championship. With an almost unrivalled heritage of engineering and racing F1 cars and unforgettable eras that demonstrate it is a force to be reckoned with, the British squad boasts 16 F1 World Championship titles to its name. Since its foundation in 1977 by the eminent, late Sir Frank Williams and engineering pioneer Sir Patrick Head, the team has won nine Constructors’ Championships, in association with Cosworth, Honda and Renault. Its roll call of drivers is legendary, with its seven Drivers’ Championship trophies being lifted by true icons of the sport: Alan Jones, Keke Rosberg, Nelson Piquet, Nigel Mansell, Alain Prost, Damon Hill and Jacques Villeneuve. The team has made history before and is out to make it again with a long-term mission to evolve and return to the front of the grid. Job Description We are looking for a D365 F&O Systems Data Analyst to assist with the maintenance of the team’s finance procurement ERP system through the monitoring and correction of data, identification and delivery of process and system improvements as well as acting as the subject matter expert for D365 F&O. Responsibilities of the role extend from requisition, through order to invoice match as well as onboarding and offboarding users. Working as part of the finance team, you will be responsible for the efficient flow of high quality and current data through the system. Engendering positive working relationships both within the team and across functional boundaries, you will champion best practice system processes across the business. Main Duties Resolving D365 F&O issues & managing these tickets through Jira. Identifying improvements of business processes and system improvements as well as managing these requests through Devops. Assisting with testing of new functionality in preparation for system upgrades. Onboarding new users as well as offboarding users who have left the company. Managing changes across the system, including identifying solutions and updating stakeholders in a timely fashion. Occasionally assisting the system data controller with adding new data to the system, amending data or helping with stock adjustments. Other business system related activities as required from time to time. Qualifications Bachelor’s degree in business, Information Technology or Computer Science Experience in a similar role working with an ERP system (D365 F&O is desirable) Additional Information Atlassian Williams Racing is an equal opportunity employer that values diversity and inclusion. We are happy to discuss reasonable job adjustments.
- Company Name
- Morris Sinclair Recruitment
- Job Title
- Sustainability Data Engineer
- Job Description
- Remote Role – Central London Office Sustainability Data Engineer The Organisation We develop cutting-edge navigator software for the global agricultural sector, helping farmers transition toward more sustainable practices through science-backed analytics. Our software provides direct access to advanced sustainability models and insights. Our Sustainability division consists of specialised Research Software Engineers who transform scientific findings into practical models for farmers and land managers, enabling them to understand their systems better and build more sustainable, profitable operations. Position Overview We're seeking an experienced Data Engineer to join our Sustainability team as the lead technical specialist in our R-focused Research Software Engineering group. You'll create and maintain the technical infrastructure that enables our sustainability experts and data scientists to develop innovative agricultural sustainability solutions. Core Functions Lead technical best practices across R package design, code architecture, documentation, and dependency management Establish and oversee versioning and CI/CD systems to enhance team workflows Guide team members in code architecture, development standards, and deployment processes Serve as the technical authority for computationally demanding tasks, especially spatial analytics and GIS-based product development Implement scientific research findings into production-ready code Collaborate with our Engineering department to align code design, versioning strategies, and release cycles Essential Qualifications Master's degree or equivalent in informatics or life sciences (or bachelor's degree with 5+ years relevant industry experience) Deep knowledge of R programming and package development Proven experience managing dependencies and ensuring reproducibility in R production environments Strong background in version control systems and CI/CD implementation History of successful collaboration with IT teams on data science workflows Proficiency with Windows and/or Linux environments Experience with GIS systems and spatial data analysis Exceptional problem-solving abilities and adaptability Leadership experience with strong communication skills Structured approach to quantitative challenges Comfort working in a dynamic startup environment Qualifications Microsoft Azure experience, particularly R integration Application containerization knowledge (Docker, etc.) Familiarity with Python, JavaScript, C++, bash, or other languages Web application development experience (React, .NET) Background in data security and IP protection workflows Knowledge of environmental sustainability concepts (carbon footprinting, lifecycle analysis, environmental modeling) Experience in agricultural or land management sectors If you are based in the UK and meet the criteria listed then apply now! The Morris Sinclair team will give you a call.
- Company Name
- Vixio Regulatory Intelligence
- Job Title
- Data Scientist
- Job Description
- Data Scientist - Regulatory Scanning Initiative About Vixio: Vixio is a leading Regulatory Technology (RegTech) platform created to remove the risk of non-compliance in the payments and gambling industries. We deliver comprehensive, time-sensitive, and actionable regulatory intelligence for the payments and gambling sectors across the globe, where rules differ from one jurisdiction to the next. Today, the Vixio platform provides raw information on regulations spanning more than 180 jurisdictions worldwide. Our mission is to empower businesses to efficiently manage and meet their regulatory obligations through our innovative SaaS tools. About the role: We are looking for an experienced Lead Data Scientist to spearhead the data science efforts within our Regulatory Scanning Initiative. The ideal candidate will have a strong background in data science, machine learning, and predictive analytics, with a proven ability to lead projects and teams. This role involves developing and implementing advanced data processing and analysis techniques to enhance our regulatory scanning capabilities, increase operational efficiency, and expand our coverage to multiple industries and jurisdictions. Key Responsibilities: Leadership and Strategy: Providing strategic direction and technical guidance for data science inititices Collaborate with the Head/Manager of Regulatory Scanning to define and execute data science strategies that align with business objectives. Mentor and develop analysts, fostering a culture of continuous learning and innovation. Data Processing and Modeling: Design and implement data pipelines for ingesting and processing large volumes of regulatory data from diverse sources. Develop machine learning models and algorithms for data categorization, contextualization, and predictive analytics. Ensure the accuracy, quality, and relevance of data insights provided to internal stakeholders and customers. Predictive Analytics and Trend Analysis: Leverage predictive analytics to identify emerging regulatory trends and potential future changes. Create models to forecast the impact of regulatory changes on different industries and jurisdictions. Develop and refine methods for prioritizing regulatory updates based on customer relevance. Collaboration and Integration: Work closely with product managers, developers, and regulatory analysts to integrate data science solutions into Vixio’s technology stack. Collaborate with other departments to ensure data-driven decision-making and alignment with overall business goals. Communicate complex data insights in a clear and actionable manner to non-technical stakeholders. Innovation and Continuous Improvement: Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence. Identify and implement new tools, techniques, and technologies to enhance data processing and analysis capabilities. Continuously improve data science workflows and methodologies to increase efficiency and effectiveness. Qualifications: Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. A Ph.D. is a plus. Experience: Proven experience as a Data Scientist, with a track record of successfully leading data science projects. Strong expertise in machine learning, statistical modeling, and predictive analytics. Experience in RegTech, FinTech, or related industries is highly desirable. Demonstrated experience in managing and mentoring teams. Technical Skills: Proficiency in programming languages such as Python, R, or similar. Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn). Strong knowledge of SQL and database management. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure). Soft Skills: Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work in a fast-paced, dynamic environment and manage multiple priorities. Preferred Qualifications: Experience with natural language processing (NLP) and text analytics. Knowledge of regulatory frameworks and compliance requirements. Familiarity with agile development methodologies. Our Benefits: -Hybrid Working (2 days in the office) -Flexible working hours -20 days working abroad -Salary sacrifice car scheme -Pension -Health insurance -Cycle to work scheme -Dental -Mental health wellbeing support Our Core Values: https://www.vixio.com/vixio-values