Data science roles bridge statistics, programming, and business intelligence. Demand is strong across all sectors (from fintech to e-commerce), with Python, SQL, and cloud data platforms (Snowflake, BigQuery, dbt) as the core stack.
Job Description We are looking for a highly-driven and motivated Manager, Performance Marketing (Search) to join our regional team. What's On Your Plate A go-getter attitude with a knack for business problem solving via…
Read full description
Job Description We are looking for a highly-driven and motivated Manager, Performance Marketing (Search) to join our regional team. What's On Your Plate A go-getter attitude with a knack for business problem solving via performance marketing channels, strategy & initiatives with a key focus on Google Ads & Apple Search Ads Be responsible for all regional performance marketing campaigns launching and optimizing high-impact evergreen and integrated campaigns regional Search campaigns across APAC Working cross functionally & cross regionally to develop, launch and track high-impact evergreen and integrated concepts Determine areas of opportunity, design and execute experiments, and present data-driven recommendations that improve current marketing and business practices in order to drive customer acquisition, engagement and retention Track and maintain Campaign performance and benchmarks to measure effectiveness of digital media and gather insights continuously to build best-in-class practices Measure, analyze and report performance of your channel and support management in driving channel mix and budget decisioning Using Data Analytics, provide analysis to give stakeholders a clear view on the media channel performance and ROI's Qualifications Minimum 5 years experience of “hands-on” experience with SEM (Web & ...
About The Role The Columbus Crew is seeking a Manager, Data Analysis to join the business analytics team. The Manager, Data Analysis will serve as a trusted analytics partner to business stakeholders, translating data…
Read full description
About The Role The Columbus Crew is seeking a Manager, Data Analysis to join the business analytics team. The Manager, Data Analysis will serve as a trusted analytics partner to business stakeholders, translating data into actionable insights that drive revenue growth, fan engagement, and strategic decision-making.
**CMMC and Federal Security Compliance:** Participate in maintaining compliance with**CMMC Level 2**, focusing on security controls such as**access control**,**incident response**,**system and communications…
Read full description
**CMMC and Federal Security Compliance:** Participate in maintaining compliance with**CMMC Level 2**, focusing on security controls such as**access control**,**incident response**,**system and communications protection**, and**media protection**. **Access Control and Data Integrity:** Help enforce role-based access controls (RBAC) and least-privilege access policies to protect sensitive manufacturing and defense-related data.
You will work in a collaborative, engineering led team focused on high quality Python modelling, automation, and robust deployment practices. Role: Building and maintaining Python based modelling frameworks and tooling•…
Read full description
You will work in a collaborative, engineering led team focused on high quality Python modelling, automation, and robust deployment practices. Role: Building and maintaining Python based modelling frameworks and tooling• Supporting the full lifecycle of machine learning and statistical models Enabling scalable, production ready model deployment through reusable engineering solutions Working closely with analytics, pricing, and wider stakeholders to ensure models are robust and well governed Contributing to best practice, code quality, and continuous improvement Experience: Strong experience in Python modelling and machine learning engineering Background operating at senior analyst level or equivalent Experience deploying and supporting models in a commercial environment Exposure to GLM and or GBM models is beneficial Insurance or pricing modelling experience is highly desirable Comfortable working with Git and collaborative development practices Able to communicate clearly with both technical and non-technical teams UK right to work required.
Generate training datasets that illustrate proficient tool interaction for AI models. Show less…
Read full description
Generate training datasets that illustrate proficient tool interaction for AI models. Show less [{"type":"people_also_viewed","href":"https://uk..com/jobs/view/senior-machine-learning-engineer-ai-data-trainer-at-alignerr-4370376828","jobId":"4370376828","label":"Senior Machine ...
Worldwide Grocery Stores (WWGS), Growth & Development team is seeking a Location Analyst to support strategic site selection and location planning across all Amazon physical retail concepts. As a Location Analyst, you…
Read full description
Worldwide Grocery Stores (WWGS), Growth & Development team is seeking a Location Analyst to support strategic site selection and location planning across all Amazon physical retail concepts. As a Location Analyst, you will be responsible for conducting comprehensive market assessments, building sophisticated analytical models, and providing data-driven recommendations that inform multi-million dollar real estate investment decisions.
The Senior Data Engineer will collaborate with the Software Engineers, Risk Scientists, and Business SMEs and lead other Data Engineers to design, develop, integrate and test Data Product features on the product…
Read full description
The Senior Data Engineer will collaborate with the Software Engineers, Risk Scientists, and Business SMEs and lead other Data Engineers to design, develop, integrate and test Data Product features on the product roadmaps to meet customer needs. This role sits within our platforms Analytics Lab who are looking to create strategic data products and build data and analytics capability.
Lensa partners with DirectEmployers to promote this job for Insight Global. You will lead field level mapping for gaps including field availability, definitions, formats, and value‑level differences.
Designs end-to-end architectural solutions for complex software and data systems. Drives technical roadmaps for software modernization and data migration efforts.
The Data Analyst will be responsible for the data monitoring and report management during VistA Pre and Post Cutover activities. Responsibilities Manage data cutover preparations and monitoring cutover activities.
Salary tags blend employer provided ranges with Catalitium estimates. We mark ranges with Est. labels, note any missing data, and never inflate compensation to boost clicks.
Currency harmonized to USD/EUR/GBP/CHF to avoid surprises.
Outliers are reviewed manually before they appear on a card.
Sponsored employers follow the same disclosure and pay rules.
Yes. Remote-friendly AI and ML roles in the EU have grown over 30% year-on-year. Germany, France, the Netherlands, and Spain lead in volume. Use the AI and EU filters together to surface them quickly, and check the salary estimate badge to ensure the range meets your expectations.
How fresh are the job postings?
Listings are refreshed continuously from employer feeds and normalised daily. Each card shows a posted date pill so you can see exactly how old a listing is. Jobs posted within the last 7 days receive a green New badge. Listings older than 30 days receive a May be filled warning.
Do roles include salary estimates?
Yes. Most listings show an Est. salary pill derived from Catalitium's location-based salary database, blended with any employer-disclosed range. Senior and lead roles receive an automatic seniority uplift. If a salary range is genuinely unknown we leave the field blank rather than show a misleading estimate.
What is a ghost job and how do I spot one?
A ghost job is a listing that has been live for 30+ days and is likely already filled, on hold, or was never a real opening. Research suggests up to 40% of active listings at any time are ghost jobs. Catalitium flags every listing older than 30 days with a triangle May be filled badge so you can prioritise your energy on fresh openings.
What are the highest-paying tech roles right now?
AI and ML engineer roles currently command the highest median salaries on Catalitium, around $150k–$200k USD in the US and EUR 100k–EUR 160k in Europe. Principal and Staff Engineer roles come close, followed by senior full-stack and cloud infrastructure engineers. Use the >100k filter to see only high-compensation listings.
How do I negotiate a higher salary offer?
Reference Catalitium's salary data when negotiating: show the employer the market range for your role and region. Studies show engineers who negotiate receive 10–20% more than the initial offer on average. If base salary is fixed, push on equity, signing bonus, remote allowance, and learning budget. See our Salary Negotiation Guide in the Resources section.
Which European cities pay the most for tech?
Zurich and Geneva (Switzerland) consistently top European tech salaries, followed by London, Amsterdam, Berlin, Paris, and Stockholm. Swiss salaries are typically quoted in CHF and translate to EUR 100k–160k for mid-senior roles. London follows at GBP 70k–110k. Berlin and Amsterdam are competitive at EUR 70k–100k for comparable experience levels.
Can I track my job applications on Catalitium?
Yes. Our free Application Tracker lets you move roles through a Kanban pipeline: Applied, Phone Screen, Interview, Offer, and Closed. It requires no account and stores everything privately in your browser. Hit the Track button on any job card to add it. You can also export your full pipeline as a CSV.
How does Catalitium differ from LinkedIn Jobs?
LinkedIn optimises for engagement and premium upgrades. Catalitium is built exclusively for tech candidates who want signal over noise: every listing shows salary estimates, ghost jobs are flagged, AI-powered summaries save you time reading descriptions, and the application tracker replaces the black-hole Easy Apply experience. No premium paywall, no recruiter spam.
Can I filter to remote-only jobs?
Yes. Choose Remote in the location/country field or tap a Remote shortcut chip. Results are limited to roles that advertise remote or hybrid where the listing text supports it, and remote-friendly rows show a Remote badge.
Which tech stacks are most in demand?
Across Catalitium tech listings, Python, TypeScript/JavaScript, Go, Java, and cloud platforms (AWS, GCP, Azure, Kubernetes) recur most often; AI and data roles add PyTorch, TensorFlow, and LLM tooling. Title and AI summary chips reflect the employer's stated stack.
Which Swiss cities pay the most for software roles?
Zurich and Geneva typically lead Switzerland for software, data, and platform engineering compensation; smaller hubs follow at a discount. Swiss ranges often sit above neighbouring EU markets for comparable seniority—check Est. salary on each card when you filter by Switzerland.
Save this search and get a weekly digest of top matches.
Includes salary signal. No spam.