machine learning engineer

ai engineer

data scientist

senior software engineer

data engineer

data science engineer

<div><div><p><b>WPP is the trusted growth partner for the world's leading brands.</b></p>
<p><b>
We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company &ndash; powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth.</b><br>
<br>
<b>We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise.</b><br>
<br>
<b>Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow.</b><br>
<br>
<b>For more information, visit </b><b>WPP.com.</b></p></div><p><br>
WPP's Data &amp; Technology Solutions is the WPP's unified global data products and technology team. We work with our agencies and clients to build data-driven solutions and technology product to power marketing transformation.</p>
<p>
WPP Open is our AI platform for marketing, it connects marketing professionals, data, tools and AI in a single place. WPP Open is the simplest, safest and fastest way to realize the benefits of scaled AI &ndash; delivering better-informed creative ideas faster, at scale and at lower cost.</p>
<p>
We're endlessly curious and our team of thinkers, builders, creators and problem solvers are over 2,000 strong, across 20 markets around the world.</p><br>
<p></p>
<p><b>
Who we are looking for</b></p>
<p>
A <b>proactive and highly skilled Data Scientist,</b> eager to apply and advance expertise in algorithms and data analysis. Proficient in leveraging Python, Jupyter, and GCP services to analyse, extract, and <b>drive insights from complex datasets within our core HQ team</b>. This individual will <b>take ownership of key data science initiatives</b>, developing and optimising solutions that deliver significant business value. This role is fundamental to sustaining momentum on high-impact projects and is crucial for embedding core data science intelligence and building institutional knowledge. The position requires <b>lateral thinking and strategic problem-solving</b>, ensuring a direct and embedded contribution to our solutions enhancement work.</p>
<p><b>
Key Skills:</b></p>
<ul>
<li><b>Strong and demonstrable</b> programming skills in Python and extensive experience using Jupyter notebooks for data analysis and visualisation.</li>
</ul><ul><li><b>Proven proficiency</b> in GCP services such as BigQuery, Google Cloud Functions, and Vertex AI.</li>
</ul><ul><li><b>Solid understanding and practical application</b> of machine learning techniques in data activation solutions, including supervised and unsupervised learning, classification, and regression models.</li>
</ul><ul><li><b>Expert proficiency</b> in data manipulation and cleaning using libraries like Pandas and NumPy, ensuring high-quality datasets for analysis and modelling.</li>
</ul><ul><li><b>Excellent communication and presentation skills</b>, with the ability to articulate complex findings, derive strategic insights, and present recommendations to diverse stakeholders independently.</li>
</ul><ul><li><b>Ability to work autonomously</b> and demonstrate proactive problem-solving, critical for an embedded HQ role.</li>
</ul>
<p><b>Description:</b></p>
<ul>
<li><b>Drive the development and implementation</b> of data science algorithms for critical strategic initiatives, including but not limited to <b>Footfall Accelerator, Guaranteed Outcomes, Total Audio Planner, and Integrated Social</b>.</li>
</ul><ul><li><b>Work closely with cross-functional teams</b> to design and execute A/B tests, rigorously analysing results to <b>uncover actionable insights and formulate strategic recommendations</b>.</li>
</ul><ul><li><b>Utilise Python and Jupyter notebooks</b> to preprocess, analyse, and model large datasets, identifying trends and patterns that directly inform strategic decision-making and solution enhancement.</li>
</ul><ul><li><b>Lead efforts</b> to optimize marketing campaigns and other business processes through advanced data-driven approaches.</li>
</ul><ul><li><b>Present findings and strategic insights</b> to internal stakeholders, ensuring clarity, impact, and driving consensus.</li>
</ul><ul><li><b>Engage in continuous learning and development</b> to advance data science capabilities, contributing actively to the team's intellectual growth and the evolution of our solutions.</li>
</ul><ul><li><b>Act as a critical in-house expert</b>, contributing to an environment of innovative and lateral thinking within the HQ team.</li>
</ul>
<p><b>Education:</b></p>
<ul>
<li>Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline.</li>
</ul>
<p><b>Ideal Certifications:</b></p>
<ul>
<li>Python for Data Science (Coursera/similar advanced program)</li>
</ul><ul><li>Google Cloud Machine Learning Engineer (Associate/Professional)</li></ul><br>
<p></p>
<p><b>
Who you are:</b></p>
<p><b>
You're open</b><b><i>:</i></b><b> </b>We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.</p>
<p><b>
You're optimistic</b><b><i>:</i></b> We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.</p>
<p><b>
You're extraordinary:</b> we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.</p><br>
<p></p>
<p><b>
What we'll give you:</b></p>
<p><b>
Passionate, inspired people</b> &ndash; We aim to create a culture in which people can do extraordinary work.</p>
<p><b>
Scale and opportunity</b> &ndash; We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.</p>
<p><b>
Challenging and stimulating work</b> &ndash; Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?</p>
<p>
#LI-Hybrid</p><div><p><b>
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we've adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.</b></p>
<p><b>
WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.</b></p>
<h4 class="jobSectionHeader"><b>
Please read our Privacy Notice (</b><b>https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment</b><b>) for more information on how we process the information you provide.</b></h4></div></div>

Data Scientist

StackAdapt

<div>
 <p>
  StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
 </p>
 We're looking to add a&nbsp;
 <strong>
  Machine Learning Engineer
 </strong>
 to our Data Science team! This team works on solving complex problems for StackAdapt's digital advertising platform. You'll be working directly with our Data Scientists, Machine Learning Engineers, Engineering teams, and our CTO/Co-Founder on building pipelines and ad optimization models. With databases that process millions of requests per second, there's no shortage of data and problems to tackle.&nbsp;
 <strong>
  StackAdapt is a remote-first company with teams around the world.
 </strong>
 Our teams work in a fully distributed environment, and we are open to candidates based in the UK, Ireland or Germany.&nbsp;
 <strong>
  This role will remain open until February 27, 2026
 </strong>
 . Applications will be reviewed on a rolling basis, and the posting will close once the deadline is reached.&nbsp;Want to learn more about our Data Science Team: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/Learn more about our team culture here: https://www.stackadapt.com/careers/data-scienceWatch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuUWhat you'll be doing:
 <ul>
  <li>
   Design modular and scalable real time data pipelines to handle huge datasets
  </li>
  <li>
   Understand and implement custom ML algorithms in a low latency environment
  </li>
  <li>
   Work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently
  </li>
 </ul>
 What you'll bring to the table:
 <ul>
  <li>
   Have the ability to take an ambiguously defined task, and break it down into actionable steps
  </li>
  <li>
   Have deep understanding of algorithm and software design, concurrency, and data structures
  </li>
  <li>
   Experience in implementing probabilistic or machine learning algorithms
  </li>
  <li>
   Interest in designing scalable distributed systems
  </li>
  <li>
   A high GPA from a well-respected Computer Science program
  </li>
  <li>
   Enjoy working in a friendly, collaborative environment with others
  </li>
 </ul>
 StackAdapter's Enjoy:
 <ul>
  <li>
   Highly competitive salary
  </li>
  <li>
   Retirement/ 401K/ Pension Savings globally
  </li>
  <li>
   Competitive Paid time off packages including birthday's off!
  </li>
  <li>
   Access to a comprehensive mental health care program
  </li>
  <li>
   Health benefits from day one of employment
  </li>
  <li>
   Work from home reimbursements
  </li>
  <li>
   Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
  </li>
  <li>
   Robust training and onboarding program
  </li>
  <li>
   Coverage and support of personal development initiatives (conferences, courses, books etc)
  </li>
  <li>
   Access to StackAdapt programmatic courses and certifications to support continuous learning
  </li>
  <li>
   An awesome parental leave program
  </li>
  <li>
   A friendly, welcoming, and supportive culture
  </li>
  <li>
   Our social and team events!
  </li>
 </ul>
 <p>
  <em>
   Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
  </em>
 </p>
 <em>
  StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you&rsquo;re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.
 </em>
 &nbsp;
 <em>
  We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.
 </em>
 &nbsp;
 <strong>
  About StackAdapt
 </strong>
 &nbsp;We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:&nbsp;G2 Top Software for 2026
 <br/>
 2026 Best Workplaces&trade; for Young Talent and in Canada by Great Place to Work&reg;
 <br/>
 #1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising&nbsp;To learn more about our privacy practices, please see our Privacy Policy.&nbsp;
 <span>
 </span>
</div>


Machine Learning Engineer (Remote)

Goldman Sachs

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Are you a visionary Data Scientist or Machine Learning Scientist passionate about leveraging cutting-edge AI to transform financial markets? Do you thrive on building end-to-end solutions, from robust data pipelines and sophisticated feature engineering to deploying advanced predictive models and personalized recommendation systems? If you have hands-on experience, and a desire to make a significant impact in a dynamic, fast-paced environment, we want to hear from you.
 <br/>
 <br/>
 <strong>
  OUR IMPACT
  <br/>
  <br/>
 </strong>
 The Global Markets Division
 <br/>
 <br/>
 As a Data Scientist/Machine Learning Scientist in the Global Markets Division, you will be at the forefront of innovation on the trading floor. You will design and implement advanced machine learning models, including predictive AI, to uncover complex market trends and generate actionable insights
 <strong>
  .
 </strong>
 Leveraging cutting-edge techniques, you will develop sophisticated analytical tools that will, at scale, connect clients to the signals, tools and expertise to better analyze their portfolios and manage risk. Your expertise will drive data-driven product development and business strategy through advanced analytics, predictive modelling, and the application of recommendation systems. Our data scientists and machine learning engineers are applying advanced quantitative and AI/ML techniques to solve the most complex business challenges in a dynamic, entrepreneurial team with a passion for the markets.
 <br/>
 <br/>
 Marquee
 <br/>
 <br/>
 Marquee is Goldman Sachs' premier digital platform for Global Banking &amp; Markets, serving our Institutional Clients (Hedge Funds, Asset Managers, Insurers) and Corporate Clients with the latest insights and analytics from the division. A recognized market leader, Marquee has garnered 5 awards over the past 3 years for its innovative solutions.
 <br/>
 <br/>
 The Marquee Sales Strats Team
 <br/>
 <br/>
 The Marquee Sales Strats team is a hub for advanced data science and machine learning, focusing on developing and deploying predictive AI, recommendation systems, and sophisticated analytical models. We leverage extensive datasets, including those structured in graph databases and knowledge graphs, to generate deep insights into financial markets and enhance Marquee&rsquo;s platform engagement. We collaborate closely with Sales, Trading, Engineering, Product, Design, other areas of the Global Markets Division, and directly with clients. Our global team comprises experts in financial markets, product structuring, cutting-edge technology, and advanced data science/machine learning, including specialists in graph theory and knowledge representation.
 <br/>
 <br/>
 <strong>
  How You Will Fulfill Your Potential
  <br/>
  <br/>
 </strong>
 At Goldman Sachs, our Engineers and Scientists don&rsquo;t just make things &ndash; we make things possible. Change the world by connecting people and capital with ideas and technology. Combine advanced engineering and deep market knowledge to solve the most pressing problems for our clients. We look for creative collaborators who evolve, adapt to change, and thrive in a fast-paced global environment.
 <br/>
 <br/>
 As a Marquee Sales Data Scientist/Machine Learning Scientist, you will be instrumental in designing, developing, and deploying advanced machine learning models, including predictive AI and recommendation systems, to deliver unparalleled analytics and insights for the Goldman Sachs Franchise
 <strong>
  .
 </strong>
 Your work will directly enhance the client experience and drive strategic decision-making
 <strong>
  .
 </strong>
 You will collaborate closely with Traders, Salespeople, and Strats across all asset classes, leveraging your expertise to build robust data pipelines, engineer impactful features, and train sophisticated models. Your contributions will be critical in developing personalized recommendation engines and predictive analytics that drive Marquee platform adoption and ensure clients receive the most relevant, timely, and actionable content. You will utilize technologies including Python (Pandas, Polars, Scikit-learn, TensorFlow/PyTorch), Jupyter, Trino, SQL, and gain exposure to graph database technologies.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  RESPONSIBILITIES AND QUALIFICATIONS:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and maintain robust data pipelines for feature engineering and model training, ensuring data quality, scalability, and explainability.
  </li>
  <li>
   Develop, train, and deploy state-of-the-art machine learning models, with a strong focus on recommendation systems and signal generation, to address complex problems in financial markets.
  </li>
  <li>
   Utilize and contribute to the development of graph databases and knowledge graphs to enrich data context, uncover hidden relationships, and make predictions.
  </li>
  <li>
   Conduct rigorous model evaluation, A/B testing, and monitoring to ensure optimal performance, reliability, and business impact of deployed models.
  </li>
  <li>
   Collaborate with product managers, engineers, and business stakeholders to translate complex analytical findings into clear, actionable insights and integrate ML solutions into production systems.
  </li>
  <li>
   Stay abreast of the latest advancements in machine learning, AI, and data science, and proactively identify opportunities to apply new techniques.
  </li>
  <li>
   Contribute to the team's overall technical growth and best practices.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related quantitative field.
  </li>
  <li>
   2+ years of proven expertise and hands-on experience in the full lifecycle of data science and machine learning projects, from data ingestion and feature engineering to model deployment and monitoring in a production environment.
  </li>
  <li>
   Exceptional programming skills in Python, with a command of data science libraries (e.g., Pandas, NumPy, Scikit-learn)
  </li>
  <li>
   Experience with big data technologies (e.g., Spark, Trino, Hadoop) and ideally cloud platforms (e.g., AWS, GCP, Azure) for scalable data processing, storage, and model deployment.
  </li>
  <li>
   Ideally having understanding and practical experience with graph databases (e.g., Neo4j, Amazon Neptune, ArangoDB) and knowledge graph construction, querying (e.g., Cypher, SPARQL), and utilization for feature enrichment.
  </li>
  <li>
   Strong understanding of statistical modeling, experimental design, and causal inference.
  </li>
  <li>
   Clear, critical thinking, concise writing skills, and excellent communication skills, with the ability to articulate complex technical concepts to diverse audiences.
  </li>
  <li>
   Self-starter with a creative, hands-on approach to problem-solving and a passion for designing and implementing programmatic solutions to client needs.
  </li>
  <li>
   Able to thrive in a global, fast-paced, and collaborative team environment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Goldman Sachs
  <br/>
  <br/>
 </strong>
 At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
 <br/>
 <br/>
 We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
 <br/>
 <br/>
 We&rsquo;re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
 <br/>
 <br/>
 &copy; The Goldman Sachs Group, Inc., 2023. All rights reserved.
 <br/>
 <br/>
 Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
</div>


Global Banking & Markets - Data / Machine Learning Scientist, Marquee Sales Strats, Associate

Worldpay

<div><p><b>Ready to take your career global?</b></p><p>
Make your mark at one of the biggest names in payments.</p><p>
We are seeking an experienced <b>Senior ML Software Engineer</b> to join our Data Science Enablement team. You will be the primary software engineering expert for a product area, working as part of a cross-functional agile team and owning the successful launches and ongoing operations of high-profile products in production. Your focus will be on driving new feature delivery, maintaining operational excellence, and collaborating on enhancements to our shared ML platform. You will work closely with cross-functional collaborators&mdash;including ML research engineers, product managers, and platform engineers&mdash;to deliver scalable, reliable, and low-latency ML solutions.</p><p>
In addition to technical expertise, this job requires strong collaboration skills.</p><p></p><p><b>
What you&rsquo;ll own</b></p><p>
Feature Development &amp; Delivery:</p><ul><li>
Design, implement, and deploy new features and enhancements to ML products, collaborating with Product and ML Research teams to refine requirements.</li></ul><p>
Technical Ownership and Stewardship:</p><ul><li>
Technical ownership of existing and new production ML products in your area, ensuring alignment of technical investments with business goals (in collaboration with a product owner) and engineering best practices.</li><li>
End-to-end technical stewardship of ML products, ensuring ongoing reliability and performance.</li></ul><p>
Contribute to ML platform:</p><ul><li>
Contribute to the evolution of the shared ML platform alongside other engineers to drive best practices and shared tooling across all products.</li></ul><p>
Operational Excellence:</p><ul><li>
Maintain and improve automated CI/CD pipelines, testing frameworks, and monitoring/logging, ensuring high operational standards.</li><li>
Conduct comprehensive code reviews to enforce coding standards, improve code quality, and share knowledge.</li></ul><p>
Continuous Improvement:</p><ul><li>
Identify and implement opportunities for process, tooling, and system improvements, proactively addressing technical debt and scaling challenges.</li></ul><p>
Release Management:</p><ul><li>
Oversee pre-release testing, coordinate releases and ensure smooth enablement of new features.</li></ul><p>
Leadership:</p><ul><li>
Provide technical guidance and support to other engineers and data scientists to solve complex technical challenges.</li><li>
Mentor and coach other engineers, supporting their professional growth.</li><li>
Foster a culture of collaboration, continuous improvement, and knowledge sharing.</li></ul><p>
Act Like an Owner:</p><ul><li>
Proactively identify and resolve blockers, navigate processes, and independently seek out information and connect with relevant teams to drive solutions in the face of ambiguity.</li><li>
Operate with a strong sense of urgency, consistently prioritizing and executing tasks to meet timelines and deliver results.</li></ul><p></p><p><b>
What you&rsquo;ll bring</b></p><ul><li>
5+ years as an ML-focused software engineer, ML Engineer, MLOps Engineer, or similar, with hands-on production experience</li><li>
Proven expertise with ML model deployment, API design, and integration into production environments</li><li>
Strong Python programming and relevant ML/data libraries</li><li>
Experience with containerization, orchestration, and AWS cloud services</li><li>
Building and operating CI/CD pipelines</li><li>
Monitoring, troubleshooting, and optimizing production ML systems</li><li>
Pre-release testing and release management</li><li>
Demonstrated ability to work independently, navigate ambiguity, and deliver results</li><li>
Excellent communication skills and ability to collaborate both within engineering organizations and on cross-functional teams</li><li>
Experience with OpenAPI, FastAPI, or similar</li></ul><p></p><p><b>
It&rsquo;s a bonus if you have</b></p><ul><li>
Experience with MLFlow, model versioning, and storage</li><li>
Familiarity with Databricks or similar platforms</li><li>
Experience supporting high-volume, real-time data products</li><li>
Automated testing and validation frameworks</li><li>
Experience designing and configuring low-latency databases to serve real-time features, such as DynamoDB</li><li>
Experience with Terraform Cloud</li><li>
Experience in large companies, mature engineering teams, and/or highly regulated industries</li><li>
AI-assisted coding experience (e.g. GitHub Copilot)</li></ul><p></p><p><b>
Why Join Us?</b></p><ul><li>
Impact: Play a key role as the technical owner of high-profile ML products delivering meaningful business impact to merchants and advancing key pillars of the company&rsquo;s strategy. Your work will directly influence the reliability, scalability, and evolution of critical production systems.</li><li>
Autonomy: Take end-to-end technical ownership of your product area, with the freedom and responsibility to drive technical solutions, shape best practices, and deliver results in a fast-paced, supportive environment.</li><li>
Collaboration: Join a cross-functional, high-performing team where your expertise is valued and your contributions make a real difference.</li></ul><p></p><p><b>
About the team</b></p><p>
Our inclusive and global teams win together every day. We&rsquo;re proud to have the best minds in the industry, whom you can learn from as you grow your career. The people, the energy, and the connections are unmatched. Come and be part of an ever-evolving company and get dynamic opportunities that transcend borders.</p><p></p><p><b>
What makes a Globalpayer?</b></p><p>
Globalpayers think like a client, act like an owner, and win as one team. We&rsquo;re curious and innovative &ndash; always finding better ways to deliver impact. We empower each other to make decisions, and our passion drives excellence in everything we set out to do.</p><p></p><p>
Does this sound like you? Then you sound like a Globalpayer. Apply now to take your career global.</p><p></p><p>
#LI-AB1</p></div>

Senior ML Software Engineer

<div><div><div><div><p>Join our Alternatives Data Science team and contribute to DSML and AI initiatives across the full lifecycle of the investment process. The Data Scientist will be responsible for the design, development, and implementation of data- and AI-driven models to drive innovation and productivity for origination, due diligence, and investment performance. The data science team sits alongside the Goldman Sachs Deal Teams and works closely with the Goldman Sachs Value Accelerator and portfolio company management teams.</p><br>
<p></p><p>Key Responsibilities:</p>
<ul><li>Leverage sophisticated statistical, mathematical, and programming skills to analyse complex datasets, support the investment processes, and drive quantifiable commercial value</li>
<li>Partner with Deal Teams to identify high-value commercial problems and translate them into well-scope technical solutions</li>
<li>Own the end-to-end delivery of prototypes through an investment lens &mdash; from framing the commercial problem and sourcing alternative datasets, to exploring the data and building the underlying model or pipeline that powers the solution</li>
<li>Partner strategically with portfolio company management teams to drive data and AI initiatives for value creation</li>
<li>Partner with GS Engineering to lead development and implementation of data-centric and AI tools, enhancing our investment processes and supporting our deal and fundraising teams</li>
<li>Stay up-to-date with the latest developments in AI, ML, and related fields to continuously improve the division's data and AI capabilities</li><br>
</ul><p></p><p>Qualifications, experience, and attributes:</p>
<ul><li>MSc or PhD in a quantitative field such as Mathematics, Statistics, Physics, Engineering, Computer Science, or a related field</li>
<li>2+ years of relevant experience applying quantitative methods to commercial problems with measurable impact</li>
<li>Strong programming skills (Python, SQL) and experience using the basic data science libraries (e.g. pandas, scikit-learn) and comfort writing clean, modular code beyond notebooks</li>
<li>High-level of proficiency in mathematics, statistics, and data science theory</li>
<li>Proven experience implementing sophisticated data science techniques, handling large datasets, translating data into actionable business insights. Experience with alternative data is advantageous</li>
<li>Commercial experience with a strong track record of quantitative problem solving and realised commercial impact</li>
<li>Excellent written and verbal communication and collaboration skills with a strong growth mindset</li>
</ul><p>Highly valued:</p>
<ul><li>Hands-on experience building with modern AI tooling, including LLMs, prompt engineering, RAG pipelines, embeddings, vector databases, and at least one agent or orchestration framework (e.g., LangChain, LlamaIndex, LangGraph)</li>
<li>Experience with cloud platforms (AWS, Azure, GCP) and basic familiarity with Docker, APIs, and lightweight web frameworks (FastAPI, Streamlit) for shipping prototypes</li>
<li>Exposure to private equity, investment banking, consulting, or operating roles in portfolio companies</li>
<li>Experience working in embedded or client-facing delivery models (consulting, forward deployed, solutions engineering) supporting data-informed decision making</li>
<li>Familiarity with LLM evaluation frameworks and responsible AI practices</li>
<li>Adept at designing high-performance schemas and feature stores within modern cloud data platforms (e.g., Databricks<b>, </b>Snowflake); specialized in transforming complex, unstructured datasets into structured, optimized formats engineered specifically to train and scale predictive models.</li>
</ul><div><div>ABOUT GOLDMAN SACHS</div><br>
<div></div><br>
<div>At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.</div><br>
<div></div><br>
<div>We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. about our culture, benefits, and people at GS.com/careers.</div><br>
<div></div><br>
<div>We&rsquo;re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. : https://www.goldmansachs.com/careers/footer/disability-statement.html</div><br>
<div></div><br>
<br>
<div>&copy; The Goldman Sachs Group, Inc., 2023. All rights reserved.</div>
<div>Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.</div><br>
</div></div></div></div><p></p><div><div><div>We Offer Best-In-Class Benefits
</div></div><div></div><div><div><div><div><div><div>Healthcare &amp; Medical Insurance
</div><div>We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.</div>
</div></div></div></div><div></div><div><div><div><div><div>Holiday &amp; Vacation Policies
</div><div>We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.</div>
</div></div></div></div><div></div><div><div><div><div><div>Financial Wellness &amp; Retirement
</div><div>We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees&rsquo; priorities.</div>
</div></div></div></div><div></div><div><div><div><div><div>Health Services
</div><div>We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.</div>
</div></div></div></div><div></div><div><div><div><div><div>Fitness
</div><div>To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).</div>
</div></div></div></div><div></div><div><div><div><div><div>Child Care &amp; Family Care
</div><div>We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.</div>
</div></div></div></div><div></div><div><div><div><div><div>Benefits at Goldman Sachs
</div><div>Read more about the full suite of class-leading benefits our firm has to offer.</div></div></div></div></div></div></div></div><div></div>
<br><div>Opportunity Overview
<div></div><div><div><div>CORPORATE TITLEAssociate
</div></div><div></div><div><div>OFFICE LOCATION(S)London
</div></div><div></div><div><div>JOB FUNCTIONData Engineering
</div></div><div></div><div><div>DIVISIONAsset &amp; Wealth Management</div></div></div></div><p></p>

Asset & Wealth Management - Data Scientist - Associate - London

Information Tech Consultants

<div>
 <p>
  <strong>
   Job Title:
  </strong>
  Data Scientist/Machine Learning Engineer
 </p>
 <p>
  <strong>
   Location:
  </strong>
  UK
 </p>
 <p>
  <strong>
   Experience:
  </strong>
  2&ndash;5 years
 </p>
 <p>
  <strong>
   Education:
  </strong>
  Master's in Science (IT/Computer Science/Engineer)
 </p>
 <p>
  <strong>
   Employment Type:
  </strong>
  Full-Time
 </p>
 <p>
  <strong>
   UK based candidates only.
  </strong>
 </p>
 <p>
  Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. We are responsible for sourcing and hiring field experts for various companies. We primarily work with Software and Cloud Hosted Services organizations as well as Mobile Apps and Service companies.
 </p>
 <p>
  <strong>
   Required Skills:
  </strong>
 </p>
 <ul>
  <li>
   2-4 years of experience in Data science/Machine learning models from coding to deployment.
  </li>
  <li>
   Work with datasets using Python or R, SQL, No SQL.
  </li>
  <li>
   Assist in developing predictive and statistical models
  </li>
  <li>
   Write and optimize queries using SQL.
  </li>
  <li>
   Familiarity with data manipulation libraries (Pandas, NumPy), Understanding of statistics and probability.
  </li>
  <li>
   Hands-on experience with ML libraries like Scikit-learn, TensorFlow, or PyTorch.
  </li>
 </ul>
 <p>
  <strong>
   Preferred Skills:
  </strong>
 </p>
 <ul>
  <li>
   Hands on experience in coding (mandatory python and SQL or C++).
  </li>
  <li>
   Understanding of Generative AI, Computer Vision cloud technology, NLP, Deep Learning.
  </li>
  <li>
   Familiarity working with large data sets.
  </li>
  <li>
   Project Management background preferred.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications :
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Master&rsquo;s (Required)
   </strong>
   in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 4 years of experience in Information Technology.
  </li>
  <li>
   You should be entitled to work in the UK with legal work authorization status.
  </li>
  <li>
   Must be willing to travel within the UK as per project/client requirements.
  </li>
  <li>
   Excellent communication skills and teamwork skills.
  </li>
 </ul>
 <p>
 </p>
</div>


Machine Learning Engineer

Elsevier

<p></p><div><p><b>Senior Data Engineer
</b></p><p></p><p><b>Are you passionate about building scalable, high-performance data-driven applications?
</b><br>
<b>Do you enjoy turning complex datasets into robust, reliable systems that deliver real business impact?</b><br>
<br>
</p><p><b>About the team:
</b></p><p></p><p>The Search and AI Platform supports core products such as Scopus, ScienceDirect, and AI‑driven research solutions. As a Senior Data Engineer, you will help design, build, and run reliable data pipelines and services that support large‑scale search and analytics use cases. You will work hands‑on while also supporting and guiding other engineers.
</p><p></p><p><b>About the role:
</b></p><p></p><p>The Search and AI Platform is Elsevier&rsquo;s agentic data platform, which powers products such as Scopus, ScienceDirect, and our next-generation LLM-powered research systems. The platform utilises agentic services to interrogate our rich knowledge graphs, search and recommendation systems, and our unparalleled collection of research data, delivering insights to the scientific community that enable them to collaborate more effectively, work smarter, and produce high-quality research more efficiently.
</p><p></p><p><b>Key responsibilities:
</b></p><p></p><ul><li><p>Design, build, and maintain scalable data pipelines and services
</p></li><li><p>Develop batch and ELT/ETL data workflows for ingesting and processing large datasets
</p></li><li><p>Work with technologies such as Python, Java, Spark, SQL, and Airflow
</p></li><li><p>Apply good software engineering practices, including testing, documentation, and CI/CD
</p></li><li><p>Contribute to cloud‑based systems (AWS), focusing on reliability, monitoring, and automation
</p></li><li><p>Collaborate with product, platform, and data science partners to deliver meaningful outcomes
</p></li><li><p>Support team learning through code reviews and knowledge sharing.
 </p></li></ul><p></p><p><b>Requirements:
</b></p><ul><li><p>Experience working as a data or software engineer on production systems
</p></li><li><p>Strong skills in Python and experience with at least one backend language (such as Java)
</p></li><li><p>Understanding of data engineering concepts such as data lakes, batch processing, and distributed systems
</p></li><li><p>Experience building or operating data pipelines using tools like Spark and Airflow
</p></li><li><p>Familiarity with cloud platforms (AWS preferred) and production monitoring
</p></li><li><p>Clear communication skills and a collaborative approach to problem‑solving.
</p></li></ul><p></p><p><b>Why join us?
</b></p><p></p><p>Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.
</p><p></p><p><b>Work in a way that works for you<br>
</b><br>
</p><p>We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives and shared parental leave, we will help you meet your immediate responsibilities and your long-term goals.
</p><p></p><ul><li><p>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
</p></li></ul><p></p><p><b>Working for you
</b></p><p></p><p>We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
</p><ul><li><p>Comprehensive Pension Plan
</p></li></ul><ul><li><p>Generous vacation entitlement and option for sabbatical leave
</p></li></ul><ul><li><p>Maternity, Paternity, Adoption, and Family Care leave
</p></li></ul><ul><li><p>Flexible working hours
</p></li></ul><ul><li><p>Personal Choice budget
</p></li></ul><ul><li><p>Internal communities and networks
</p></li></ul><ul><li><p>Various employee discounts
</p></li></ul><ul><li><p>Recruitment introduction reward
</p></li></ul><ul><li><p>Employee Assistance Program (global)<br>
</p></li></ul><p><br>
<b>About the business &ndash;
</b></p><p></p><p>A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world&rsquo;s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.</p><br>
<p><b>We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click </b><b>here </b><b>to access benefits specific to your location.
</b></p><p></p><p>We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
</p><p></p><p><b>Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams </b><b>here </b><b>.
</b></p><p></p><p>Please read our Candidate Privacy Policy .
</p><p></p><p>We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
</p><p></p><p><b><i>USA Job Seekers:
</i></b></p><p>EEO Know Your Rights .</p></div><p></p>

Senior Data Engineer

Explore 487+ Data science engineer in London this July. Find roles across top companies and apply now to boost your career.