Staff Data Scientist (Remote - UK) at Jobgether

, , United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

01 Feb, 26

Salary

0.0

Posted On

03 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Predictive Modeling, Data Analysis, SQL, Python, MLOps, Risk Management, Forecasting, Exploratory Data Analysis, Communication, Collaboration, Technical Expertise, Strategic Thinking, Attention to Detail, Problem Solving, Consumer Bureau Data, Commercial Bureau Data, Open Banking Data

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Data Scientist in the United Kingdom. This role offers the opportunity to lead the development of predictive models and data-driven strategies that directly impact business growth and customer experience. You will work with diverse datasets, including commercial and consumer bureau data, to build sophisticated forecasting models for cash flow and risk management. Operating in a fast-paced, fully remote environment, you will deploy models into production, monitor performance, and refine strategies in response to market changes. Collaborating closely with cross-functional teams, you will use analytics and experimentation to drive insights that enhance platform functionality, improve customer outcomes, and optimize business performance. This is a high-impact position requiring strong technical expertise, strategic thinking, and end-to-end ownership. Accountabilities: · Design, develop, and implement predictive models for business health and cash flow forecasting. · Integrate diverse data sources, including commercial, bank, and consumer bureau data, to build comprehensive models. · Deploy and monitor models within MLOps infrastructure, ensuring reliability and performance. · Continuously fine-tune strategies and models in response to credit performance, market trends, and macroeconomic factors. · Conduct exploratory data analysis to uncover insights and prototype new model-driven features. · Collaborate with cross-functional teams to align modeling efforts with business objectives and improve the customer experience. · 10+ years of experience in commercial risk management, ideally focused on SMB portfolios in the UK. · Deep expertise with UK consumer bureau, commercial bureau, and open banking data. · Hands-on experience in end-to-end model development and deployment lifecycle. · Proficiency in SQL and at least one scripting language (Python preferred). · Familiarity with MLOps tools and platforms such as Chalk, Baseten, Metaflow, SageMaker, or Vertex. · Strong analytical and problem-solving skills, with attention to detail and technical rigor. · Excellent written and verbal communication skills, capable of explaining complex concepts clearly. · Educational background in Statistics, Computer Science, Financial/Applied Mathematics, Operations Research, Economics, or related technical field; Master’s or PhD is a plus. · Competitive salary and equity, reflecting ownership mindset. · Flexible remote work environment with support for home office setup. · Cutting-edge technical tools and infrastructure to enable high-quality work. · Flexible vacation and work hours, emphasizing work-life balance. · Parental leave for all employees, regardless of gender. · Inclusive, collaborative, and high-performance team culture that values authenticity and excellence. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company. Final decisions, interviews, and assessments are then handled by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Lead the development of predictive models and data-driven strategies to impact business growth and customer experience. Collaborate with cross-functional teams to enhance platform functionality and optimize business performance.