Data Scientist
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Position Overview & Specifications
Analytics & actionable insights are at the core of our vision, and the company is investing in cutting edge software and technologies to execute on its vision.
We are looking for an experienced Data Scientist with additional experience in Data Engineering as a back-up. Data Science is a new discipline but we have very clear use cases where this function will be a key element to enable those. We are on an Azure stack, and the Data Scientist will be crucial in defining the required additional services to achieve the set outcomes.
Working closely with the team and stakeholders across editorial, marketing, and product, you will help to enable specific production related ML and AI models and outputs leveraging fact and facet tables from various data sources. You will also be involved in the definition, creation and modelling of user segments, cohorts and persona for production targeting and funnel conversions.
We are looking for an smart, critical and pragmatic individual with a passion for solving complex challenges.
Responsibilities
Work towards use cases and enable desired outputs using ML and AI technologies on available raw data.
Create a ML and AI environment as part of our data stack.
Engage with stakeholders and gather their requirements for new use cases.
Support Data Engineering.
Ensure high data and output quality for effective production deployments.
Skills & Experience
Required
A degree in Computer Science (Preferably with Machine Learning), Statistics, Maths, Data Science or Engineering.
Proficient experience of working hands-on in a data science.
Ability to utilize data science techniques to analyze data, detect patterns, extract, and present insights with advanced visualization.
Knowledge of any of the following Languages (Python, Scala, R, Pyspark)
Proficient with ML and AI modelling solutions.
Experience in working with first and third-party user data across various data sources for segmentation and cohort definitions.
Experience with NLP workflows and processing.
Beneficial to have.
Experience with Azure cloud services related to Data Engineering, ML & AI.
Excellent ETL & SQL skill
Experience with Power BI
Azure Certifications
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United Kingdom Right to Work & Skilled Worker Visa Guide
Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:
Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (£38,700) or occupation going rate.
Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.
Candidate Preparation Blueprint: Staffing, Recruitment & Subcontracting
Based on transatlantic hiring benchmarks for Data Scientist roles across OD Talent Solutions Limited's corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Staffing, Recruitment & Subcontracting.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked £40,000 - £71,004 bracket, including retirement vesting and health parity.
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