Senior Data Scientist (12 Month FTC)

Edited
London
2 days ago
Create job alert

About EDITED

EDITED is the world’s leading AI-driven retail intelligence platform. We empower the world’s most successful brands and retailers with real-time decision making power.

By connecting internal business and external market data, EDITED infuses intelligence intoeveryretail decision. We help retailers increase margins, generate more sales, and drive better business outcomes through AI-powered market and enterprise intelligence that fuels automation.

At EDITED, we foster a dynamic and inclusive culture where creativity thrives and collaboration is at the heart of everything we do. Our environment is dynamic and supportive, encouraging team members to take initiative, innovate, and continuously grow. We value diversity, transparency, and a shared commitment to excellence, creating a workplace where everyones voice is heard and contributions are recognised.

We believe that achieving a positive work-life balance is key to driving innovation and success. Our flexible working options—including hybrid working, flexible hours and a work from anywhere policy—empower our team to perform at their best.

Location:London, UK (travel to our London office will be required 2 x per week as a minimum)

Job type:Full-time, 12 month Fixed Term Contract (with possibility of extension)

Start Date:ASAP

The Opportunity

Were seeking a highly motivated and experienced Senior Data Scientist to join our team. In this role, youll be a key contributor to our Engineering direction, impacting multiple teams and initiatives across EDITED. Youll lead significant projects, mentor junior team members, and play a crucial role in high-level decision-making.

What Youll Do As A Senior Data Scientist:

  • Lead and Deliver Impactful Projects:Take ownership of significant data science projects, driving them from conception to completion and delivering measurable results.

  • Strategic Decision-Making:Operate with high autonomy, making strategic decisions that influence the direction of EDITEDs engineering efforts.

  • Mentorship and Team Leadership:Mentor and guide junior data scientists, fostering their growth and ensuring the teams success. Lead large teams and provide thought leadership within EDITED.

  • Drive Engineering Direction:Contribute to the overall engineering direction of EDITED, impacting multiple teams and initiatives.

  • Process Improvement:Identify and implement improvements to data science processes and methodologies, enhancing efficiency and effectiveness.

  • Communicate Effectively:Communicate complex technical concepts clearly and concisely to diverse audiences, both internally and potentially externally, representing EDITED.

  • Unblock Team Members:Proactively identify and resolve roadblocks, ensuring team members can deliver their best work.

What Youll Bring:

  • Proven commercial experience as a Data Scientist, with a track record of leading significant projects.

  • Strong understanding of data science methodologies and best practices.

  • Excellent problem-solving and analytical skills.

  • Exceptional communication and presentation skills.

  • Experience mentoring and leading teams.

  • Ability to work independently and make strategic decisions with minimal oversight.

  • Experience contributing to the strategic direction of an engineering organization.

What We’re Looking For In A Senior Data Scientist

It’s important for us to look for candidates that strive for excellence with a positive attitude, a strong sense of ownership and work ethic, and a passion to consistently develop and improve their knowledge and skillset. If you’re excited about the role of (insert role title) and the opportunity to work at EDITED, we encourage you to apply even if you only match some, rather than all, of the requirements.

Essential:

  • 5+ years experience as a data scientist in a commercial environment, with a proven track record of taking data-driven projects from inception to production.

  • Deep understanding of supervised and unsupervised learning algorithms, model selection, hyperparameter tuning.

  • Expert in advanced statistical concepts.

  • Experience in collaborating with cross-functional teams both within engineering and the wider business.

  • Fluent in python

What We Offer You As A Senior Data Scientist

We value our team and to attract exceptional people, we offer an excellent package! This year, we were recognised as one of the top companies to work for in the UK.

  • You can utilise our flexible working policy to ensure you can work around your schedule - this means starting & finishing when it suits you best!

  • At EDITED we are set up to work remotely and utilise a hybrid approach with a minimum requirement of 2 days per week in the office

  • Enhanced parental leave policy

  • 25 days annual leave + public holidays (and an extra day for every year at EDITED)

  • Work from anywhere policy

  • Unlimited access to L&D content library

  • Season Ticket Loan & Cycle to Work schemes

  • Access to an Employee Assistance Programme

  • Gifts for work anniversaries and big life events

We aim to be an equal opportunities employer and we are determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, or race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.

J-18808-Ljbffr

Related Jobs

View all jobs

SENIOR DATA SCIENTIST - Computer Vision / Generative AI HYBRID

Senior Data Scientist/ Senior Risk Scientist

Senior Data Scientist - Insurance

Senior Data Scientist (Applied Machine Learning)

Senior Data Scientist, Recommendations (12 months Fixed Term Contract)

Senior Data Scientist (12 Month FTC)

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.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

Data Science Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Data science has become a linchpin in modern business, transforming oceans of raw data into actionable insights that guide strategy, product development, and personalised customer experiences. With this surge in data-centric operations, the need for effective data science leadership has never been more critical. Guiding a team of data scientists, analysts, and machine learning engineers requires not only technical acumen but also the ability to foster collaboration, champion ethical practices, and align complex modelling efforts with overarching business goals. This article provides practical guidance for managers and aspiring leaders aiming to excel in data-driven environments. By exploring strategies to motivate data science professionals, develop mentoring frameworks, and set achievable milestones, you will be better prepared to steer your team towards meaningful, evidence-based outcomes.

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.