Data Scientist II

Job not on LinkedIn

🔥 15 hours ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Signify

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2000

🔒 Cybersecurity

🤝 B2B

☁️ SaaS

Cybersecurity • B2B • SaaS

Signify is a company under Accumuli that specializes in securing computer networks. They provide a secure alternative to passwords by offering two-factor authentication as an on-demand hosted service, enabling safe remote access to systems and information. With a focus on high-quality service, Signify has built a reputation for delivering reliable and flexible two-factor authentication solutions that are easy to deploy. The company is ISO27001 Certified, ensuring best-in-class information security practices. As a certified RSA MSSP partner, Signify also offers a range of managed security services to enhance network security for organizations.

📋 Description

• Partner with the Business Unit Lead and merchant portfolio to identify gaps in decisioning performance and implement solutions, with guidance from senior team members. • Utilize existing or build new production machine learning models that identify fraud, collaborating with data scientists and machine learning engineers. • Identify and build automation that reduces repetitive manual work. • Run experiments to identify optimal decisioning strategies while balancing complexity and performance. • Communicate complex ideas to Customer Success, Sales, and occasionally external customers. • Write production and offline analytical code in Python. • Work with distributed data pipelines in Spark, Databricks, and GCP. • Contribute to peer review, paper study, knowledge-sharing, live demos, write-ups, and cross-team projects.

🎯 Requirements

• A degree in computer science or a comparable analytical field. • 3+ years of post-undergrad work experience required. • Strong verbal and written communication skills. • Strong machine learning and statistical background. • Write code and review others' in a shared codebase in Python. • Practical SQL knowledge. • Design experiments and collect data. • Experience with distributed analytics and data tooling such as Spark and Databricks. • On-call shifts as part of the weekend rotation, currently about six weekends a year.

🏖️ Benefits

• Stock Options • Annual Performance Bonus or Commissions • Pension matched up to 8% • ‘Day one’ access to great health, dental and optical insurance scheme • Generous annual leave plus public holidays • Cycle to Work Scheme • Enhanced maternity and paternity leave (12 weeks full-pay for mums & dads, plus 12 weeks half-pay for mums) • Regular paid social events organized by our social committee • Mental wellbeing resources • Dedicated learning budget through Learnerbly • Primarily remote work • No travel requirement for this role