data engineer

data scientist

machine learning engineer

senior data scientist

senior data engineer

associate data scientist

<div>
 <p>
  <strong>
   Department:
  </strong>
  Data &amp; AI
 </p>
 <p>
  <strong>
   Location:
  </strong>
  UK - London
  <br/>
  <br/>
 </p>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 Insurance isn't the first industry most people think of when they imagine interesting data science work. That's exactly why this role is interesting.
 <br/>
 <br/>
 CFC's Data &amp; AI unit is building production agentic systems that automate complex underwriting decisions - not demos, not proof-of-concepts sitting on a shelf, but AI agents and Machine Learning (ML) pipelines that drive real business outcomes. The team includes machine learning engineers and software engineers shipping production services, and this role sits alongside them as an analytical counterpart: running experiments, stress-testing assumptions, and generating the evidence that shapes what gets built and how it improves over time.
 <br/>
 <br/>
 This is an Associate Data Scientist role designed for someone early in their career who wants genuine exposure to production AI systems from day one. You'll work closely with ML and AI engineers, contributing to discovery work that feeds directly into live services - statistical analysis, feature engineering, LLM evaluation, and the kind of careful, evidence-based thinking that makes the difference between an AI system that works in a notebook and one that holds up under real conditions.
 <br/>
 <br/>
 The problems are genuinely hard. The data is complex, the decisions are high-stakes, and the domain has the kind of depth that keeps the work interesting. If you want to grow quickly in applied AI and ML - working on real systems, not toy datasets - this is the right environment.
 <br/>
 <br/>
 <strong>
  About the role
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and run experiments that directly shape production AI agents &mdash; testing ideas, validating approaches, and turning research into deployed improvements.
  </li>
  <li>
   Actively explore cutting-edge developments in AI and machine learning &mdash; with the space and support to experiment, prototype, and bring new techniques into production where they add value.
  </li>
  <li>
   Evaluate and refine LLM-powered workflows &mdash; building robust evaluation frameworks, stress-testing agent behaviour, and driving continuous quality improvements in live systems.
  </li>
  <li>
   Explore complex, real-world datasets to uncover insights that meaningfully improve underwriting decisions and system performance at scale.
  </li>
  <li>
   Prototype and iterate on features for AI/ML pipelines, taking ideas from early exploration through to measurable impact in production services.
  </li>
  <li>
   Investigate how agentic systems behave in production &mdash; identifying edge cases, failure modes, and opportunities to make systems more robust and reliable.
  </li>
  <li>
   Collaborate closely with ML/AI engineers to bridge research and production &mdash; contributing code, debugging issues, and helping ship improvements end-to-end.
  </li>
  <li>
   Document experiments, findings, and methodologies clearly so that insights are reproducible and decisions are traceable.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About you
  <br/>
  <br/>
 </strong>
 We are looking for a Junior Data Scientist who enjoys solving complex problems and turning data into meaningful, real‑world outcomes. In this role, you will work across the full analytical lifecycle, from exploring data and building machine learning models to shaping how insights are communicated and applied across the business. You also play a part in how we responsibly explore and apply emerging technologies such as LLMs, focusing on how they perform and deliver value in practice.
 <br/>
 <br/>
 You:
 <ul>
  <li>
   combine a strong grounding in statistics with hands‑on technical capability in Python and SQL
  </li>
  <li>
   take pride in producing clear, reliable analysis
  </li>
  <li>
   are thoughtful and detail‑driven, able to communicate effectively with a wide range of stakeholders, and comfortable learning from others while growing your own ownership
  </li>
  <li>
   bring curiosity, ask the right questions and look beneath the surface
  </li>
  <li>
   have experience with Azure, MLflow, or LLM tooling is a bonus, but not expected&mdash;we value mindset and approach just as highly as experience.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Core Values
  <br/>
  <br/>
 </strong>
 <strong>
  Love what you do:
  <br/>
 </strong>
 We show up each day ready to take on the world. Our passion and intensity set us apart and makes the difference to our colleagues, customers, brokers and carriers.
 <br/>
 <br/>
 <strong>
  Challenge everything:
  <br/>
 </strong>
 We&rsquo;re never afraid to question the way that things are done and we constantly challenge ourselves and others to makes things better.
 <br/>
 <br/>
 <strong>
  Have fun, be good:
  <br/>
 </strong>
 Insurance is a serious business, but we don&rsquo;t take ourselves too seriously. We make it fun to work at CFC, we welcome all viewpoints, and we treat everyone how we would expect to be treated.
</div>


Associate Data Scientist

MarketCast

<div>
 <strong>
  Reading/London
  <br/>
  <br/>
 </strong>
 <strong>
  Role Description
  <br/>
  <br/>
 </strong>
 We are looking for a Associate Data Scientist to join the Data Science Team based in Reading or London. You will be responsible for analysing extremely large datasets, creating bespoke client reports, exploring new datasets and building new algorithms to deliver services to clients.
 <br/>
 <br/>
 <strong>
  We&rsquo;re Looking For Someone To
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Explore and extract data from multiple sources and interrogate this data to create meaningful insights
  </li>
  <li>
   Work on a broad range of client projects in the marketing and market research field.
  </li>
  <li>
   Develop data pipelines to clean data and develop meaningful data &amp; features for analytics work and data science projects
  </li>
  <li>
   Research, develop, and test supervised and unsupervised learning models with guidance from more senior members of the team
  </li>
  <li>
   Use tools and languages such as Python and SQL for reporting and analysis on our AWS data platform
  </li>
  <li>
   Work with our India based Data Engineering team and our Sales and Market Research Teams in the US and UK
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  It&rsquo;ll Be Helpful If You Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1-2 years of experience
  </li>
  <li>
   A desire to understand the why, and dig into data to understand what makes people tick
  </li>
  <li>
   Experience in applying a few Machine Learning algorithms to real client problems and data.
  </li>
  <li>
   Ability to clean and transform data for ML models
  </li>
  <li>
   Can independently take actions to address the most common causes of poor model performance.
  </li>
  <li>
   Familiarity with common machine learning algorithms such as linear regression, logistic regression, decision trees, and k-nearest neighbours Experience in using machine learning libraries and frameworks like scikit-learn or TensorFlow.
  </li>
  <li>
   A bachelor&rsquo;s degree in a subject such as Applied Mathematics, Psychology, Sociology, Statistics, Economics, Engineering, Computer Science, etc. A Master's Degree or higher is a plus.
  </li>
  <li>
   Solid data analytics skills; proven proficiency with SQL, Python and Pandas
  </li>
  <li>
   The ability to write Python code and build, execute and test algorithms and models
  </li>
  <li>
   The ability to understand business problems, draw conclusions from data and recommend actions on how best to solve these problems
  </li>
  <li>
   Strong communications skills, and an ability to document requirements and work with other team members
  </li>
  <li>
   Experience with TV viewing data, the TV industry and/or Media Industry experience. This isn't a pre-requisite, but a genuine interest is
  </li>
  <li>
   A curiosity about data and enjoy building data visualisations that clearly articulate insight
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who We Are
  <br/>
  <br/>
 </strong>
 MarketCast measures what moves people. Powered by AI, trained on decades of verified consumer response data, along with proprietary technology, MarketCast is the marketing effectiveness partner for the world's most ambitious brands, connecting emotional resonance to real-world business outcomes across advertising, sponsorships, content, brand health, and advanced analytics. With category-deep expertise spanning sports, entertainment, travel, automotive, and consumer brands, our team of seasoned industry strategists brings unmatched human intelligence to every engagement, turning complex data into decisive action so brands know exactly what's working, why it's working, and what to do next.
 <br/>
 <br/>
 At MarketCast, we don't just accept difference - we embrace it, support it, and thrive on it for the benefit of our global culture and success. MarketCast is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know. Check us out on LinkedIn and at: www.marketcast.com
 <br/>
 <br/>
 <strong>
  Our Values
  <br/>
  <br/>
 </strong>
 <strong>
  Move the Needle
  <br/>
  <br/>
 </strong>
 We turn insight into action and action into impact, acting with urgency and intention at every level, anticipating what's needed, executing with discipline, and driving outcomes that are measured and meaningful.
 <br/>
 <br/>
 <strong>
  Client Success is Our Scoreboard
  <br/>
  <br/>
 </strong>
 We win when our clients win. Delivering scaled, tech-enabled solutions that drive measurable impact and value to build lasting partnerships.
 <br/>
 <br/>
 <strong>
  Grow Every Day
  <br/>
  <br/>
 </strong>
 Expertise is earned continuously by investing in our craft, our colleagues, and our company.
 <br/>
 <br/>
 <strong>
  Own It
  <br/>
  <br/>
 </strong>
 Take responsibility for outcomes, not just outputs.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Free movie tickets!
  </li>
  <li>
   29 days annual leave PLUS Bank Holidays
  </li>
  <li>
   Flextime with core hours between 10am and 3pm
  </li>
  <li>
   2 days&rsquo; work from home, per week
  </li>
  <li>
   4% match pension scheme
  </li>
  <li>
   Enhanced maternity pay
  </li>
  <li>
   Regular social events in both UK locations
  </li>
  <li>
   Professional growth and career development including LinkedIn Learning
   <br/>
   <br/>
  </li>
 </ul>
 In addition to your salary, MarketCast believes in providing a competitive total rewards package for its employees. All benefits are subject to eligibility requirements, and the terms of our official plan may be modified or amended from time to time.
 <br/>
 <br/>
 GENERAL DATA PROTECTION REGULATION (UK GDPR) NOTICE: The organisation collects and processes personal data relating to its applicants, employees and former employees to manage pre-employment and employment relationships and post-employment obligations. The organisation is committed to being transparent about how it collects and uses that data and to meeting its data protection obligations. For further information on the information we collect, how it&rsquo;s used, and how it's protected, please contact the MarketCast UK HR Team.
</div>


Lunar Energy

<div><p>At Lunar Energy, we're on a mission to transform the way we power our homes by building an ecosystem of all-electric products, starting with a next-generation home battery system and a cloud PaaS to manage large fleets of DER assets. Comprising a team of visionary entrepreneurs and dedicated technology and industry experts, we're united by our shared vision of deploying and building products to electrify homes that are connected through an integrated software platform.</p>
<p>
We are looking for a Staff Data Scientist to join the software team in the UK.</p>
<p><b>
Responsibilities:</b></p>
<ul>
<li>Building optimisation, forecasting and market participation algorithms to trade DER fleets in wholesale markets.</li>
<li>Modelling DER physical behaviour to connect control with market participation.</li>
<li>Operating large DER fleets in real time.</li>
<li>Quantifying uncertainty in asset behaviour and financial risk across strategies.</li>
</ul>
<p><b>Your key skills &amp; experience:</b></p>
<ul>
<li>5+ years' experience as a Quantitative Developer, Data Scientist, Risk Analyst, or in a related field.</li>
<li>A good understanding of formal methods in quantitative finance.</li>
<li>A degree, MSc, or PhD in a quantitative field such as physics, mathematics, or statistics.</li>
<li>Professional experience with forecasting, optimisation, signal processing, control, and decision-making algorithms.</li>
<li>Professional experience with machine learning algorithms.</li>
<li>Extensive experience in one of Python, Julia, or OCaml, along with relevant libraries (e.g. pandas, TensorFlow, NumPyro).</li>
<li>Extensive experience with SQL and proficiency working with large datasets.</li>
<li>You love working in a smaller team where you can see the impact of your work.</li>
<li>You are a first-principles thinker with intellectual curiosity, a love of learning, and an openness to changing your mind when given new information.</li>
<li>You are autonomous and enjoy managing your own workload and deadlines.</li>
</ul>
<p><b>Desirable skills:</b></p>
<ul>
<li>Professional experience with Bayesian modelling.</li>
<li>Software architecture experience.</li>
<li>Experience with the functional programming paradigm.</li>
<li>Experience with TypeScript.</li>
<li>Professional experience in the energy, trading, or commodities sector.</li>
<li>Experience with Unix-like operating systems.</li>
</ul>
<p><b>Joining us gives you:</b></p>
<ul>
<li>Competitive Compensation: Enjoy a competitive salary and stock options package.</li>
<li>Healthcare Benefits: Access to a private Medical Insurance scheme through BUPA (medical history disregarded).</li>
<li>Wellbeing Perks: A wellbeing and lifestyle benefits plan through Medicash.</li>
<li>Financial Security: 5% employer contributions pension matching.</li>
<li>Investment in Your Growth: A budget of &pound;1,000 per financial year for work-related training and an allowance of 4 training days.</li>
<li>Eco-Friendly Commuting: Participate in the Cycle To Work scheme and benefit from the Workplace Nursery benefit.</li>
<li>Work Setup Support: Receive &pound;200 upon joining for remote work setup.</li>
<li>Mental Health Support: Access to Spill - a Mental Health Support platform.</li>
<li>Family-Focused Benefits: Enhanced Maternity and Paternity Pay.</li>
<li>Time Off: 25 days of annual holiday entitlement plus 8 Bank Holidays.</li>
<li>Flexible Work Arrangements: Enjoy flexible start and finish times, with the option for fully remote working or a hybrid setup, depending on your preferences.</li>
</ul>
<p><b>Duration: </b>Full-time</p>
<p><b>
Location:</b> Fully remote work within GMT+/-2 time zones (conditions apply). You're also welcome to work from our office in Liverpool Street, London (UK), as frequently as you desire.</p>
<p><b>
Inclusivity Matters: </b>Lunar Energy is committed to being an equal opportunities employer, welcoming applications from individuals regardless of their race, gender, ethnicity, disability, religion/belief, sexual orientation, gender identity or expression, nationality, age, or social background. We actively encourage applications from underrepresented and minority groups, and we do not filter applications by university background, welcoming those who have taken alternative educational and career paths.</p>
<p>
Join Lunar Energy and be a part of the future of sustainable home energy. Make an impact, grow your expertise, and contribute to a cleaner, more eco-conscious world. Apply now!</p></div>

Staff Data Scientist

hackajob

<div>
 <em>
  <strong>
   hackajob
  </strong>
  is collaborating with
  <strong>
   Dunnhumby Ltd
  </strong>
  to connect them with exceptional professionals for this role.
  <br/>
  <br/>
 </em>
 dunnhumby is the global leader in Customer Data Science, partnering with the world&rsquo;s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
 <br/>
 <br/>
 dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestl&eacute;, Unilever and Metro.
 <br/>
 <br/>
 We&rsquo;re looking for an
 <strong>
  Applied Data Scientist
 </strong>
 who expects more from their career. This is an opportunity to apply your expertise to distil complex problems into meaningful, actionable insights - leveraging world-first science, cutting-edge machine learning techniques and human creativity to deliver impactful solutions for clients.
 <br/>
 <br/>
 Joining our advanced data science team, you&rsquo;ll be responsible for the ongoing implementation, support and development of complex models and applications, working alongside exceptionally talented colleagues who are challenging and rewriting the rules rather than simply following them.
 <br/>
 <br/>
 Our team works closely with Tesco to solve some of the most interesting and challenging problems in the category management space. We work collaboratively with our client leadership team and with our clients, to build solutions that are re-usable, scalable and deliver measurable value. You&rsquo;ll drive change, shape innovative solutions, and actively redefine how organizations harness data.
 <br/>
 <br/>
 <strong>
  What We Expect From You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Degree in Statistics, Maths, Physics, Economics or similar field
  </li>
  <li>
   Strong programming skills &ndash; Python and SQL are essential
  </li>
  <li>
   Experience with version control tools (e.g. GIT)
  </li>
  <li>
   Solid understanding of analytical technologies, tools, and techniques
  </li>
  <li>
   Logical thinking and problem solving
  </li>
  <li>
   Strong communication skills
  </li>
  <li>
   Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact
  </li>
  <li>
   Statistical Modelling and experience of applying data science into client problems
  </li>
  <li>
   Background in retail analytics (especially exposure to Category Management) is advantageous
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Can Expect From Us
  <br/>
  <br/>
 </strong>
 We won&rsquo;t just meet your expectations. We&rsquo;ll defy them. So you&rsquo;ll enjoy the comprehensive rewards package you&rsquo;d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
 <br/>
 <br/>
 You&rsquo;ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
 <br/>
 <br/>
 And we don&rsquo;t just talk about diversity and inclusion. We live it every day &ndash; with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
 <br/>
 <br/>
 <strong>
  Our approach to Flexible Working
  <br/>
  <br/>
 </strong>
 At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
 <br/>
 <br/>
 We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
 <br/>
 <br/>
 For further information about how we collect and use your personal information please see our Privacy Notice which can be found
 <strong>
  (here)
 </strong>
</div>


Applied Data Scientist

Goldman Sachs

<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

Digital Waffle

<div>
 <p>
  <strong>
   Senior Data Scientist | Data, Python, Science
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Senior Data Scientist with previous experience using Python is sought after by one of the UK&rsquo;s most exciting gaming/esports companies. They need a Data Scientist to help their team solve the real-world problems that their technology-driven, data focussed platform faces. You will have the opportunity to join a small, agile team of esports experts and help them build a potentially industry leading data distribution platform.
 </p>
 <p>
  <br/>
 </p>
 <p>
  For this position, they are looking for applicants with the following skillset:
 </p>
 <ul>
  <li>
   A passion for clean data/statistics
  </li>
  <li>
   At least 3 years&rsquo; previous experience as a data scientist
  </li>
  <li>
   Python skills/experience
  </li>
  <li>
   Comfortable in an Agile environment
  </li>
  <li>
   Knowledge of GitHub
  </li>
  <li>
   Interest in gaming/esports
  </li>
  <li>
   Previous experience with machine learning models and established statistics
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  In return, they can offer:
 </p>
 <ul>
  <li>
   A salary of up to &pound;85k (depending on experience)
  </li>
  <li>
   A generous training/personal development budget
  </li>
  <li>
   Transport contributions
  </li>
  <li>
   Flexible working hours
  </li>
  <li>
   A great list of perks in a brand-new office (when you are in the office)
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  If you are an experienced Data Scientist and want the chance to work in the gaming/esports industry, apply or contact Luke Rose for more details!
 </p>
 <p>
 </p>
</div>


Data Scientist

Frontier Resourcing

<div><div><b>Principal Data Scientist &amp; Machine Learning Researcher
</b></div><div><p>Gloucester | London | Manchester
</p>
<p></p><p>Working with a leading National Security and Cyber organisation, you will help develop advanced AI and machine learning solutions that support critical national security missions.
</p>
<p>Operating within a mature Agile environment, you'll collaborate closely with customers, engineers, researchers and data scientists to solve complex real-world challenges using cutting-edge AI, machine learning and data science techniques.
</p>
<p>We have opportunities at all levels from Associate, Senior and Principal levels. Roles can be based in Gloucester, Manchester or London, with hybrid working available (typically 3 days per week on-site).
</p>
<ul><li>Due to the nature of work in National Infrastructure, candidates must hold an active eDV (enhanced DV) UK Security Clearance.
</li></ul>
<p></p><p><b>The Opportunity
</b></p><p>As a Senior Data Scientist &amp; Machine Learning Researcher, you will play a key role in the technical leadership, design and delivery of AI and machine learning projects from concept through to deployment.
</p>
<p>You'll work within a specialist team of Data Science, AI and Machine Learning experts, driving innovative research, developing advanced solutions and mentoring colleagues across a range of customer and internal R&amp;D programmes.
</p>
<p>This position offers the opportunity to contribute to genuinely challenging and impactful projects while helping shape future AI capabilities within the national security domain.
</p>
<p></p><p><b>Key Responsibilities
</b></p><ul><li>Design, develop and deliver complex machine learning and data science solutions with a high degree of autonomy.
</li><li>Lead technical investigations, research activities and AI/ML development across customer and internal projects.
</li><li>Identify innovative approaches to solving complex technical challenges and contribute to future research directions.
</li><li>Provide technical leadership within project teams and support successful project delivery.
</li><li>Collaborate with multidisciplinary teams, stakeholders and customers to define requirements and develop effective technical solutions.
</li><li>Mentor and support junior team members, helping to develop technical capability across the wider team.
</li><li>Communicate complex technical concepts clearly to both technical and non-technical audiences.
</li>
</ul><p></p><p><b>Essential Skills &amp; Experience
</b></p><ul><li>Degree (BSc or above) in Data Science, Machine Learning, Computer Science, Mathematics or a related discipline.
</li><li>Strong Python development experience, including machine learning frameworks such as Hugging Face, TensorFlow and PyTorch.
</li><li>Proven experience delivering machine learning solutions within commercial, research or government environments.
</li><li>Strong understanding of modern AI/ML techniques across areas such as Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP) and Computer Vision.
</li><li>Experience training, fine-tuning and evaluating machine learning and AI models.
</li><li>Ability to undertake technical research and apply findings to real-world challenges.
</li><li>Experience producing high-quality technical documentation, reports or research publications.
</li><li>Previous experience mentoring team members and providing technical leadership.
</li>
</ul><p></p><p><b>Desirable Skills &amp; Experience
</b></p><ul><li>MSc or PhD with a strong research background.
</li><li>Experience developing and maintaining robust ML pipelines and MLOps practices.
</li><li>Familiarity with version control, containerisation and environment management tools, including Git and Docker.
</li><li>Experience working within Linux environments and using command-line tooling.
</li><li>Experience deploying and scaling AI/ML solutions into production environments.
</li><li>Cloud platform experience, ideally AWS, although Azure or GCP experience is also valuable.
</li><li>Published research in peer-reviewed journals or conferences.
</li><li>Experience writing technical proposals, bids or research funding submissions.
</li>
</ul><p></p><p><b>What's on Offer
</b></p><ul><li>Opportunity to work on highly complex and meaningful national security challenges.
</li><li>Exposure to cutting-edge AI, Machine Learning and Data Science projects.
</li><li>Collaborative environment with experienced researchers, engineers and technical specialists.
</li><li>Clear opportunities for technical development, leadership and career progression.
</li><li>Hybrid working with locations in Gloucester, Manchester or London.
</li>
</ul><p></p><p><b>Benefits:
</b></p><ul><li>Competitive salary and excellent benefits
</li><li>eDV bonus on to of salary and annual bonus
</li><li>Company bonus scheme
</li><li>Contributory Pension Scheme (up to 10.5% company contribution)
</li><li>6 times salary &lsquo;Life Assurance&rsquo; with pension
</li><li>25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days</li></ul></div></div>

Principal Data Scientist and Machine Learning Researcher (eDV)

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