Lumiture helps organizations reimagine what’s possible by fusing technology, data, AI, and design to drive transformation. We deliver solutions that don’t just modernize systems—they unlock new potential. Grounded in design and proven execution, we enable clients to streamline operations, boost efficiency, and create lasting value. Our purpose is simple: luminating the future for our clients.

Industry: IT System Custom Software Development
Company Size: 2-10 employees

Lumiture

Savvy Admin PROD

**About us: **

At Lumiture, we’re building next-generation solutions that fuse AI, data, and modern engineering to power intelligent experiences across industries. We’re not just coding apps - we’re shaping how technology helps businesses think, learn, and evolve.

If you love solving big problems, experimenting with cutting-edge tools, and making an impact from day one, you’ll feel right at home here.

**The Role: **

A unique opportunity to grow alongside a rapidly evolving team, supporting a government agency where we can make a meaningful impact.

We’re looking for a **Senior Data Engineer **to play a pivotal role in building a robust data analytics platform in Databricks that will support a skilled team of data professionals conducting product analysis on a highly visible online product.

In this role, you will work across multiple source systems, transforming how data is accessed, managed, and utilized across the organization. You’ll collaborate in an agile software development environment with cross-functional teams to deliver innovative solutions that empower data-driven decision-making.

**What You'll Have Opportunities to Do: **

- Design, build, and enhance a robust data analytics platform in Databricks to support product analysis and reporting

- Work across multiple source systems to improve how data is accessed, managed, and used across the organization

- Design and implement scalable, reliable data pipelines to support analytics and decision-making

- Optimize data infrastructure to improve data quality, availability, and scalability

- Build and enhance data feeds using technologies such as Kafka streaming, batch ETL, and API-based interfaces

- Partner with cross-functional teams in an agile software development environment to deliver innovative data solutions

- Support the development of modern data capabilities that enable a team of data professionals to analyze a highly visible online product

- Contribute to a collaborative engineering culture focused on continuous improvement and mission impact

**What We're Looking For: **

- US Citizens or Dual Citizens only

- Proven experience as a Data Engineer working with complex, enterprise-scale data environments

- Strong experience building and maintaining data pipelines and modern data infrastructure

- Hands-on experience with Databricks and building scalable analytics platforms

- Experience working across multiple source systems and integrating diverse data sources

- Strong understanding of data architecture, data management, and infrastructure optimization

- Experience with one or more of the following:

- Kafka streaming

- Batch ETL workflows

- API data interfaces

- Ability to improve data quality, availability, and scalability across data platforms and feeds

- Experience working in an agile software development environment

- Strong collaboration and communication skills, with the ability to work effectively across cross-functional teams

**Why Join Lumiture **

- Be part of a growing startup where your work has an immediate impact

- Work directly with a team that values creativity, innovation, and exploration

- Access mentorship from experienced engineers and data scientists

- Enjoy flexibility, growth opportunities, and a culture built around learning fast and thinking bold

Let's luminate the future - together!

Please follow our company page for ongoing updates!

https://www.linkedin.com/company/lumiture/

Senior Data Engineer

Haystack combines AI & expert vetting to deliver world-class tech candidates who are engaged, aligned, and ready to interview.

We're trusted by over 100,000+ UK-based techies, working in Software Engineering, Data, Design, DevOps, Cloud, Tech Management, Testing, Product & Delivery, Architecture and more. 

100s of employers from startups and scale-ups like Atom Bank, DuckDuckGo and Goodlord to established enterprises like American Express, Dunelm and AWS use Haystack to connect with qualified tech talent that they can't find anywhere else.

Industry: Technology, Information and Internet
Company Size: 51-200 employees

Haystack

**Data Analyst/Engineer | Hybrid | $77,600 - $176,000 **

We're hiring for a globally recognized leader in technology and engineering solutions, known for its commitment to impactful missions and collaborative work environment. This organization empowers its teams to leverage cutting-edge technologies to solve complex challenges for clients across various sectors.

**The Role **

• Design, build, and maintain scalable data platforms and pipelines.

• Architect data pipeline structures for security operations, including log collection and routing.

• Develop and implement solutions for cloud, on-premises, and disconnected environments using containerization.

• Work with a multi-disciplinary team in an agile setting to deliver mission-driven data solutions.

• Manage and administer key data engineering tools and platforms.

• Contribute to the assessment, design, building, and maintenance of data platforms.

**What You'll Need **

• 5+ years of experience with data lake or analytics platforms.

• 3+ years of experience designing data pipeline architectures for security operations.

• 3+ years of experience in defensive cyber operations, cybersecurity engineering, or security platform architecture.

• 2+ years of experience with Windows or Linux administration.

• Experience architecting detection engineering pipelines, threat hunting workflows, or automated response capabilities.

• Experience deploying platforms using Kubernetes or OpenShift.

• TS/SCI clearance and HS diploma or GED.

**What's On Offer **

• Opportunity to work on mission-critical projects impacting national intelligence, research, and fraud detection.

• Collaboration with a multi-disciplinary team of analysts, engineers, and developers.

• Continuous professional development and tuition assistance.

• Comprehensive benefits package including health, retirement, and paid leave.

Apply via Haystack today!

Data Analyst

Data Analyst

We're seeking a Data Analyst for a leading consultancy renowned for transforming organizations in the evolving digital landscape. This employer empowers clients by harnessing data to solve complex challenges at scale, fostering a culture of innovation and providing deep insights. Join a supportive team dedicated to delivering impactful solutions.

The Role

• Advise on using business intelligence data for predictive analytics and implementing tools like Qlik.

• Administer quantitative and qualitative modeling techniques to data.

• Apply analytical best practices for data collection, aggregation, normalization, and analysis.

• Analyze and process data, contributing to the development of models and report templates.

• Recommend and implement appropriate performance measures for data analysis.

• Provide guidance to team members and deliver actionable reports to clients.

What You'll Need

• 2+ years of experience with data visualization and data engineering.

• 2+ years of experience working with data in a professional environment.

• Experience querying or analyzing data to answer questions and solve problems.

• Experience visualizing data to identify or communicate key insights.

• Knowledge of business analysis and business intelligence tools.

• A Secret clearance and HS diploma or GED.

What's On Offer

• Opportunities for professional development and growth within a dynamic industry.

• A supportive team environment that encourages collaboration and learning.

• Comprehensive benefits package including health, retirement, and paid leave.

• A chance to work on impactful projects for national security initiatives.

Apply via Haystack today!

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.

Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.

Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.

You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

Industry: Software Development
Company Size: 10,001+ employees

Amazon

**Description**

As a Data Science Manager (DSM), you will lead a team of economists, scientists, and data engineers working to solve complex scientific problems that have high business and customer impact. You will be responsible for building structural and predictive models, leveraging data science workflows, and driving innovations that deliver measurable results for Amazon customers.

Key job responsibilities

-  Leadership & Team Management: Independently manage and develop a diverse science team, creating an environment that enables consistent delivery and innovation; Build and maintain a high-performing team that can operate effectively and autonomously; Drive strategic growth opportunities for team members, providing paths to demonstrate higher-level scope, impact, and leadership; Establish clear performance metrics and audit mechanisms to track and communicate team progress; Foster a team culture focused on bringing research to production and delivering customer value

-  Technical & Scientific Direction: Partner with stakeholders and leadership to define and execute the scientific vision for your team; Lead the development of structural and predictive models, leveraging emerging technologies and novel features; Drive the implementation of data science workflows and simulation frameworks; Bridge the gap between science, technology, and business requirements; Leverage the broader Amazon scientific community to enhance team capabilities and knowledge sharing

-  Strategic Planning & Execution: Define and maintain team structure, strategic direction, and owned technologies; Establish processes that enable consistent delivery and quality of scientific artifacts; Drive reasonable schedules and adjust priorities to ensure optimal outcomes; Create and implement audit mechanisms to track team performance against goals; Remove roadblocks and optimize team productivity

-  Communication & Influence: Create well-written documents to effectively communicate with technical and non-technical audiences; Influence science and analytics practices across the organization; Build strong partnerships with stakeholders across different business units; Present complex scientific findings to senior leadership; Drive adoption of best practices and innovative solutions

**About The Team**

The Central Science Team within Amazon’s People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, machine learning, and Generative AI to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. We are an interdisciplinary team, which combines the talents of science and UX to develop and deliver solutions that measurably achieve this goal.

**Basic Qualifications**

-  5+ years of building quantitative solutions as a scientist or science manager experience

-  2+ years of scientists or machine learning engineers management experience

-  5+ years of applying statistical models for large-scale application and building automated analytical systems experience

-  PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field

-  Knowledge of Python or R or other scripting language

-  Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

-  Experience in Database like NoSQL, or experience in SQL Server/MySQL and experience in software development

-  Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

-  Experience with data modeling, warehousing and building ETL pipelines

**Preferred Qualifications**

-  Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications

-  Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

-  Experience operating large data warehouses

-  Experience hiring, developing, and managing high-performing technical teams

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $142,300/year in our lowest geographic market up to $272,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

**Company ** - Amazon.com LLC

Job ID: A3109136

Data Science Manager, PXT Central Science

At PwC, we help clients drive their companies to the leading edge. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help build, accelerate and sustain momentum. Find out more at www.pwc.com.

PwC: Audit and assurance, consulting and tax services
PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity. Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.

Industry: Professional Services
Company Size: 10,001+ employees

**Specialty/Competency: **Data, Analytics & AI

**Industry/Sector: **Not Applicable

**Time Type: **Full time

**Travel Requirements: **Up to 80%

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

**Skills**

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

- Analyse and identify the linkages and interactions between the component parts of an entire system.

- Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.

- Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.

- Develop skills outside your comfort zone, and encourage others to do the same.

- Effectively mentor others.

- Use the review of work as an opportunity to deepen the expertise of team members.

- Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.

- Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

The Opportunity

As part of the Data and Analytics team you can manage the development of AI and GenAI solutions, including analytical modeling and integration. As a Director, you can set the strategic direction and lead business development efforts, making significant decisions and overseeing multiple projects while maintaining executive-level client relations. This role involves managing global data and analytics teams, facilitating executive-level presentations, and guiding the development of AI/GenAI architectures for clients.

**Responsibilities**

-  Guide the strategic direction for AI and GenAI solution development

-  Develop and refine AI/GenAI architectures for client needs

-  Foster collaboration across data and analytics teams

-  Align with client objectives and industry standards

-  Promote technological advancements in data-driven solutions

What You Must Have

-  Bachelor's Degree

-  10 years of experience

What Sets You Apart

-  Master's Degree preferred

-  Managing AI and GenAI solution development teams

-  Experience in Energy and Utilities Industry

-  Documenting and analyzing business processes for AI

-  Designing AI/GenAI architectures for plugin-based solutions

-  Managing global data and analytics team operations

-  Leading development of proof of concepts and pilots

-  Facilitating executive level presentations on GenAI solutions

-  Managing GenAI application development teams

-  Experience with Python, LLM frameworks, and cloud platforms

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

AI & GenAI Data Scientist - FS- Director

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