data science manager

Brainlabs

<div><div>Brainlabs is the media agency built to answer one question: what's actually driving profit? Founded in 2012 by Daniel Gilbert, we were built by engineers before we were a media agency. Today, 1,000+ Brainlabbers across five continents use our proprietary agents, built on 32 media tools and over 2,500 logged experiments, to help brands connect every channel they plan and buy to one thing: the bottom line.</div>
As the Manager, Data Science, you will support the delivery of Google Meridian MMM projects and other data science engagements for Brainlabs clients, working closely with the Director of Data Science to produce technically rigorous, clearly communicated outputs. You are responsible for the quality of your own modelling work and for helping clients understand what the analysis means for their media decisions. This is a role for a data scientist who is strong on the technical fundamentals, curious about how marketing data can drive better business decisions, and developing the skills to communicate complex ideas clearly.
<h3 class="jobSectionHeader">
What you do</h3>
<ul><li>Support MMM Project Delivery: You contribute to the delivery of Google Meridian and other MMM projects, owning specific workstreams including data preparation, model runs, and scenario analysis under the direction of the Director of Data Science.</li>
<li>Deliver Other Modelling Projects: You support and independently deliver a range of data science engagements, applying statistical and analytical skills to real client problems with a focus on accuracy and clear interpretation.</li>
<li>Translate Outputs Into Insight: You take model outputs and draft clear, accessible summaries and narratives that connect findings to media budget decisions, ready for review and client presentation.</li>
<li>Apply AI to Data Science Workflows: You use Claude and other AI tools as a standard part of your workflow, finding practical ways to accelerate code development, documentation, and output communication.</li>
<li>Contribute to Practice Development: You support the development of Brainlabs' data science capability through documentation, process improvement, and sharing what you learn across the team.</li>
</ul><h3 class="jobSectionHeader">Who you are</h3>
<ul><li>A Rigorous and Curious Data Scientist: You have hands-on experience with Marketing Mix Modelling or related statistical modelling, including working knowledge of Meridian, Robyn, and/or PyMC, and you care deeply about getting the analysis right &mdash; not just delivering an output.</li>
<li>Technically Proficient: You are experienced in Python and comfortable working with GCP, with a solid understanding of Bayesian statistics and marketing attribution concepts.</li>
<li>A Practical AI User: You use AI tools in your day-to-day work, with a habit of exploring how they can improve your outputs or speed up your workflow.</li>
<li>Developing as a Communicator: You are building your ability to explain technical concepts clearly to non-technical audiences, and take feedback on how to make your outputs more accessible.</li>
<li>Detail-Oriented: You take pride in the accuracy and rigour of your work, and apply a consistent quality check to everything you deliver.</li>
<li>Curious and Motivated: You are genuinely interested in the intersection of data science and marketing effectiveness, and proactively develop your skills beyond what the immediate job requires.</li>
</ul><h3 class="jobSectionHeader">How you succeed</h3>
<ul><li>Modelling Quality: The workstreams you own within MMM and other projects meet the quality standard set by the Director, with outputs that are accurate, well-documented, and reproducible.</li>
<li>Clear Output Communication: The summaries and narratives you draft require minimal revision before client presentation, and you can explain your methodology clearly when asked.</li>
<li>AI Adoption: You can demonstrate at least one documented AI application per month that improved your workflow or the quality of your output.</li>
<li>Delivery Reliability: You hit agreed deadlines on your workstreams and raise risks early when timelines are at risk.</li>
<li>Practice Contribution: You contribute at least one improvement or piece of documentation to the data science team each quarter, evidenced by adoption or feedback from the Director.</li>
</ul><div>
What happens next?

We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you.

Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know!

Please note that we will never ask you to transfer cash or make any other payment to us in order to apply for a role or to work for Brainlabs. Any such asks are fraudulent and should be reported to the appropriate authorities in your area.</div></div>

Junior Manager, Data Science

Hiscox

<div>
 
 Job Type
 
 
 
 Permanent
 
 
 
 Build a brilliant future with Hiscox
 
 
 
 
 Reporting to: Re &amp; ILS Head of Data
 
 
 
 
 Location:
 
 London
 
 
 Type: Permanent
 
 
 
 Role Overview
 
 
 
 The Lead Data Scientist is a crucial member of the
 
 extended
 
 RE&amp;ILS Tech Leadership Team, responsible for building, leading, and nurturing a highly capable (New)
 
 Data Science and Machine Learning
 
 chapter.
 
 
 This role facilitates the successful delivery of new AI Cloud-based solutions against our growing list of business use cases (involving complex Data Analytics, Machine Learning, and AI Agent based solutions).
 
 
 You will co-lead the new Data Science chapter with the RE&amp;ILS Head of Data and help ensure its members provide Data Science capabilities and insights to support decision-making across RE&amp;ILS strategic Value Streams. Whilst the chapter grows, you are expected to be
 
 hands-on
 
 actively helping to architect, design, and build AI or Data Science-based solutions, using internally trained models, LLMs and/or a combination of both.
 
 
 Whilst undertaking this pioneering work it is essential that you and your entire chapter operates within the boundaries of the
 
 Group AI Governance Framework
 
 and maintains rigorous data governance standards. You will be accountable of this adherence.
 
 
 This is likely to be your first managerial role and the first time you have had one or more direct reports &ndash; having previously been a Senior Data Scientist or Machine Learning Engineer yourself. In this role you will be responsible for the management of a 1 to 4 junior and mid-level Hiscox FTEs and Partner resources too. You will be expected to support the Head of Data with attracting and retaining the best talent; helping to manage their career progression and ensure they are highly engaged, find the work fulfilling, and have the ability to rapidly deliver value to the business. As this is likely to be your first managerial role you will be supported and guided by other Data Leaders &ndash; Head of Data and the Hiscox Group Head of Data Science as well.
 
 
 
 About Hiscox Re &amp; ILS
 
 
 
 Hiscox Re &amp; ILS is located in
 
 Bermuda and London
 
 and underwrites reinsurance risks from around the world on behalf of our own and other people&rsquo;s capital. The team of over 100 smart, enthusiastic individuals are committed to providing top quality service to brokers and clients across a broad range of reinsurance products. Our approach is simple; match the best underwriting risk against globally diversified capital. Our proactive, product-led underwriting approach is complemented by a commitment to world class service and purpose-built analytics and systems. We know our people are our biggest asset so finding and retaining the best talent is critical to achieving our vision.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Chapter Leadership &amp; Talent Management
 </li>
 <li>
 People Management: Lead, recruit, mentor, coach, train, and retain a high-performing chapter of Data Scientists and Machine Learning Engineers (expected to grow to over the next few years), including both Hiscox FTE and Partner colleagues. Inspire chapter members to be curious, embrace new ideas, and nurture psychological safety to help build a high-performance culture.
 </li>
 <li>
 In this role you will manage at least one to two Hiscox data scientists and some partner resources too. You will be expected to manage their performance with relevant PDRs and help to calibrate their overall performance ratings with other people managers in the team. You will work with the Head of Data and Group Head of Data Science to help tailor the training needs to suit each individual and ensure they have the opportunity to grow and progress in their chosen career paths.
 </li>
 <li>
 Culture &amp; Development: Cultivate a collaborative, engaged, and fulfilled team culture. Provide technical leadership, career guidance, and direction to the team, ensuring successful delegation to all chapter members.
 </li>
 <li>
 Best Practice: Ensure the chapter adheres to best practices in data science, AI, and complex analytics, sharing knowledge across the wider Hiscox Analytics and Data community through active participation in Communities of Practice.
 </li>
 <li>
 Mentoring: Mentor and educate others in the various data science techniques, encouraging the team to continually learn &ndash; especially supporting the adoption of LLMs and proprietary models that could significantly accelerate our ability to deploy value.
 </li>
 <li>
 Solution Delivery &amp; ML Ops Excellence
 </li>
 <li>
 Hands-On Architecture: Get hands-on to help architect, design, and build complex models that integrate into existing IT solutions to improve data-driven decision-making throughout the Reinsurance Value Chain. Ensure you and your chapter members work closely with Platform Engineers and Architects to create the most optimal and safe solutions.
 </li>
 <li>
 ML Ops Platform: Actively work with the Head of Platform Engineering to establish and maintain a professional ML Ops platform to facilitate the effective support of developed models in production. This includes embedding a rigorous model evaluation process, ensuring consistent model refresh/rebuild capabilities due to model or data drift, and implementing effective monitoring and alerts against rogue behaviour.
 </li>
 <li>
 Speed of Execution: Empower the chapter to work effectively within autonomous squads, delivering desired and valuable outcomes in an incremental manner while correctly balancing accuracy, fast return on investment, and reliability. Understand when to move on and fail fast &ndash; as a lot of AI use cases will be highly experimental in nature with no guarantees of success.
 </li>
 <li>
 Pipeline Collaboration: Work with Data Engineering and other teams to properly understand and contribute to the requirements and building of necessary data pipelines/products consumed by our models.
 </li>
 <li>
 Strategy, Governance &amp; Innovation
 </li>
 <li>
 Use Case Identification: Continually work with key business leaders, the Head of Data and key stakeholders to identify new use cases and opportunities where data science/AI can deliver a competitive advantage or reduce waste/costs through efficiency gains.
 </li>
 <li>
 Governance &amp; Compliance: Champion data and model governance, working within the Group AI Governance Framework. Ensure a mature understanding of data governance, lineage, and version control, and enforce data privacy by design in all new work.
 </li>
 <li>
 Innovation: Maintain a strong awareness of new trends and techniques in Data Science, AI, and Machine Learning. Drive the identification of innovative data solutions and technologies, and actively undertake Proof of Concepts and R&amp;D to deliver reliable insights and potential next steps quickly.
 </li>
 <li>
 Communication: Ensure clear and effective communication of data science solutions and outcomes across business layers, technical teams, and senior leadership.
 
 
 
 </li>
 </ul>
 
 Required Experience And Structure
 
 
 
 <ul>
 <li>
 Reporting: Reports into the RE&amp;ILS Head of Data with a dotted line into the new Group Head of Data Science.
 </li>
 <li>
 Direct Reports: Direct line management for Data Scientists and Machine Learning Engineers within the RE&amp;ILS Data Science Chapter.
 </li>
 <li>
 Key Partners: RE&amp;ILS CTO, Group Head of Data Science, RE&amp;ILS Head of Data, Product Managers, Product Owners, and strategic partners (e.g. Google Cloud, Microsoft).
 
 
 
 </li>
 </ul>
 
 Candidate Profile
 
 
 
 The successful candidate will be an energetic, highly capable, and passionate Senior Data Scientist who wants to move into their first people management role. You will need to balance technical expertise with effective people management and strategic business partnership. You must be comfortable working in an FCA-regulated business, advocating for a data-driven approach, and driving innovation while maintaining rigorous AI governance standards. You will have a strong determination and resilience and not fear failure or the inevitable setbacks often found in highly experimental work.
 
 
 
 Main Experience Required Is
 
 
 
 <ul>
 <li>
 Deep Interest in Leadership: As an experienced data scientist or machine learning engineer, has previously demonstrated excellent traits in mentoring and coaching more junior team members and has been happy to invest in them - clearly demonstrating they care about other peoples&rsquo; career progression. Also you can evidence some successful business outcomes that you personally drove forward using advanced Data Science/AI &ndash; as this most likely is your first leadership role.
 </li>
 <li>
 Technical Depth: Extensive "hands-on" experience in architecting, designing, and building complex ML models, with a strong understanding of cloud services and the AI/ML/LLM ecosystem.
 </li>
 <li>
 ML Ops Maturity: Proven ability to build, maintain, and support production-deployed models, including establishing effective monitoring, evaluation, and refresh processes.
 </li>
 <li>
 AI and Data Governance: Mature understanding of AI and Data governance - data obfuscation &amp; data privacy laws, data version control, data lineage, and the application of AI governance frameworks in a regulated environment.
 </li>
 <li>
 Stakeholder Management: Experience in managing and driving collaboration with business unit leaders (Underwriters, pricing teams, MI team) and external technology partners like Google Cloud, Snowflake, DataIku and Microsoft.
 </li>
 <li>
 Education: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent.
 </li>
 <li>
 Capacity for independent, high-quality research and exploratory data analysis, with the ability to develop and apply novel methodologies to solve ill-defined and challenging business problems.
 </li>
 <li>
 Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures.
 </li>
 <li>
 Real world experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), AI Agents and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions.
 </li>
 <li>
 Demonstrate a Solid understanding of foundational statistics and experimental design. Pioneer the development and robust deployment of highly impactful machine learning and AI-driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization.
 </li>
 <li>
 Ability to translate complex data science insights into tangible, measurable improvements across critical business processes and key performance indicators, ensuring the real-world adoption and beneficial outcomes of our analytical work.
 </li>
 <li>
 Ability to elevate the technical maturity and capabilities of the data science chapter by shaping and implementing industry-leading AI, data, and analytics techniques, methodologies, and engineering best practices.
 </li>
 <li>
 Educator: shown the ability to train and coach more junior and mid-level team members - ensuring they have excellent career progression and become high performers.
 
 
 
 </li>
 </ul>
 If you are a visionary expert looking for your first leadership role and ready to accelerate our value delivery and champion all things Data Science and AI, we invite you to apply for the position of Lead Data Scientist at Hiscox Re &amp; ILS. Join our team and be a catalyst for AI adoption in a dynamic, forward-thinking organization.
 
 
 
 Work with amazing people and be part of a unique culture
 
</div>

Lead Data Scientist

Intercom

<div><div>Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.

Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey &ndash; from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams.

Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.</div><div><h1 class="jobSectionHeader">
Product Data Science Leader, Fin</h1>
<h2 class="jobSectionHeader">What makes this role different</h2>

This is not a classic experimentation-first product data science leadership role.

Fin is a fast-moving, ambiguous, B2B AI-native product company. The role is less about owning a neat experimentation roadmap and more about helping shape direction in an environment where product bets are evolving quickly, the operating model is constantly changing, and decisions often need to be made before the data is complete.

This person will not be successful if they wait to be asked for analysis. We need someone who creates momentum, brings clarity to messy problems, and helps leaders decide what matters, where to focus, and what should change.

This is a highly consultative, influence-heavy leadership role. It sits at the intersection of product strategy, product analytics, customer outcomes, go-to-market signals, technical feasibility, and organizational design. Success depends on building trust and traction with product, engineering, design, research, sales, and executive stakeholders, often without relying on formal authority alone.

The role is as much about shaping the system around product data science as it is about analytical depth. A major part of the job is creating the conditions for the function to be effective: improving how decisions get made, clarifying where data science should engage, helping define interfaces with adjacent functions, and ensuring insights actually influence outcomes.
<h2 class="jobSectionHeader">
Vision for Product Data Science at Fin</h2>

This role is not only about leading the current team well. It is also about helping define what product data science should become in an AI-native product organization.

Fin is building zero-to-one products in an environment where the nature of the work is constantly shifting. As a result, the shape of product data science cannot be static or tied too closely to a traditional experimentation-and-dashboards model.

We expect this leader to help define the future makeup of the function. That includes understanding where we need data scientists who are closer to engineers and builders, where we need people who operate more like researchers, and where deep statistical and analytical rigor should remain central.

This person should bring a clear point of view on what an AI-native product data science function looks like, how AI should change the practice of analysis, and what capabilities, foundations, and operating model are required for the function to have the most impact over time.

They should help define:
<ul>
<li>the right capability mix for the team over time</li>
<li>where foundations work belongs and how it should be prioritized</li>
<li>how AI can increase leverage in analysis without lowering quality or rigor</li>
<li>how product data science should evolve as Fin evolves.</li>
</ul><h2 class="jobSectionHeader">What this role is really about</h2>
<ul><li>Bringing clarity to ambiguous product bets with data and insights</li>
<li>Helping shape strategy in fast-moving B2B AI product areas</li>
<li>Pushing for better decisions, not just better analysis</li>
<li>Identifying product and performance gaps early;</li>
<li>Influencing where the organization should act</li>
<li>Creating traction for product data science where the model is still evolving</li>
<li>Designing how product data science should work, not just delivering within the current setup</li>
<li>Redirecting effort toward the highest-leverage problems</li>
Leading with judgment, influence, credibility, and conviction 
<li>
</li>
</ul><h2 class="jobSectionHeader">What you&rsquo;ll do</h2>
<ul><li>Help product and company leaders make better decisions on where Fin should focus</li>
<li>Bring structure and judgment to ambiguous product, customer, and performance questions</li>
<li>Identify what is and is not working in the product, and where intervention is most needed</li>
<li>Shape early product direction, especially in zero-to-one and fast-evolving areas</li>
<li>Define where product data science should engage deeply versus where lighter support is sufficient</li>
<li>Define a vision for what product data science should look like in an AI-native product organization</li>
<li>Shape how AI is used in analysis, insight generation, and decision support, while maintaining a high bar for rigor and judgment</li>
<li>Improve visibility into product performance, opportunity size, and business impact</li>
<li>Partner across product, engineering, design, research, sales, and leadership to connect product signals with customer and commercial outcomes</li>
<li>Build trust with senior stakeholders and challenge weak logic or fuzzy thinking when needed</li>
<li>Help design the operating model for product data science in Fin, including interfaces with analytics engineering, research, and go-to-market teams</li>
<li>Ensure the function builds the right foundations for evaluating and improving zero-to-one AI products</li>
<li>Coach and raise the bar for product data science work through prioritization, judgment, and leadership presence</li>
<li>Ensure scarce data science capacity is focused on the most important problems, not just the loudest requests</li>
</ul><h2 class="jobSectionHeader">What we&rsquo;re looking for</h2>
<ul><li>Strong product data science leadership experience in complex product environments</li>
<li>Track record of shaping strategy, not just supporting execution</li>
<li>Comfort operating in ambiguity and making high-quality judgment calls with imperfect data</li>
<li>Ability to influence senior stakeholders and challenge constructively when needed</li>
<li>Strong analytical depth and technical skills</li>
<li>A strong point of view on what product data science should look like in an AI-native company</li>
<li>Experience evolving team shape and capability mix in response to changing product and organizational needs</li>
<li>Ability to distinguish when the work calls for builder-type data scientists, research-oriented profiles, or deeper statistical specialization</li>
<li>Strong judgment on how AI should and should not be used in analytical and data science work</li>
<li>Excellent prioritization instincts and ability to identify high-leverage work</li>
<li>Experience working across product, engineering, design, research, and commercial stakeholders</li>
<li>Ability to translate across functions and connect product decisions to customer and business outcomes</li>
<li>Strong leadership presence: credibility, judgment, communication, and follow-through</li>
<li>Experience building or evolving operating models, team scope, or cross-functional ways of working</li>
Ideally, experience in AI-native, SaaS, or fast-moving B2B product contexts 
<li>
</li>
</ul><h2 class="jobSectionHeader">What success looks like</h2>
<ul><li>Product and R&amp;D leaders actively rely on this person to shape priorities</li>
<li>Data science is involved early enough to influence direction, not just validate decisions late</li>
<li>Teams have a clearer view of product performance, opportunity size, and where intervention is needed</li>
<li>Product data science effort is focused on the highest-leverage opportunities</li>
<li>The interfaces between product data science and adjacent functions are clearer and more effective</li>
<li>The function becomes embedded in how critical Fin decisions get made</li>
<li>The overall quality of decision-making rises around the teams this person supports</li>
<li>The team evolves toward the right mix of capabilities for an AI-native product environment</li>
<li>AI is used to increase leverage in analysis and decision support without lowering rigor</li>
</ul><h2 class="jobSectionHeader">Why this role matters now</h2>

Fin is operating in a space where product ships incredibly fast, decisions move quickly, ambiguity is high, and the organization needs stronger clarity on where product data science can have the most impact.

We need a leader who can help shape the agenda, improve the system and operating model, and ensure product data science meaningfully changes outcomes.
<h2 class="jobSectionHeader">
Benefits</h2>

We are a well treated bunch, with awesome benefits! If there&rsquo;s something important to you that&rsquo;s not on this list, talk to us!
<ul>
<li>Competitive salary and equity in a fast-growing start-up.</li>
<li>We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen.</li>
<li>Regular compensation reviews - we reward great work!</li>
<li>Pension scheme &amp; match up to 4%.</li>
<li>Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents.</li>
<li>Flexible paid time off policy.</li>
<li>Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones.</li>
<li>If you&rsquo;re cycling, we&rsquo;ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too.</li>
<li>MacBooks are our standard, but we also offer Windows for certain roles when needed.</li>
</ul>
#LI-Hybrid</div><div>
Policies

Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.
Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.</div></div>

Director, Product Analytics

Bestway Group

<div>About the role
We&rsquo;re seeking a Pricing Analytics Manager to deliver high-quality pricing and promotional analytics, working collaboratively across teams including the Category, Commercial, Finance, Supply Chain and BI teams.
About Bestway
Bestway Group is a diversified multinational family owned business with annualised turnover in excess of &pound;4.5 billion. Starting off as a chain of retail convenience stores, the Group has grown to become a diversified multinational business with interests across the wholesale, pharmacy, real estate, cement and banking sectors. The Group is also the largest overseas investor in Pakistan.
Owned by the Pervez, Choudrey and Sheikh families, Bestway Group was founded in 1976 by Sir Anwar Pervez OBE H Pk, who remains Chairman. Serving over 12 million customers and employing over 28,000 individuals, the Group supports and serves communities through its operations across the UK, Pakistan and the Middle East
Responsibilities:
<ul><li>Work cross‑functionally with Category, Finance, Supply Chain and BI teams to deliver actionable insights.</li>
<li>Support Pricing Manager with scenario modelling, elasticity analysis and promo measurement.</li>
<li>Build and maintain Alteryx workflows and Power BI dashboards.</li>
<li>Partner with Category teams to explain pricing insights and recommendation rationale.</li>
<li>Collaborate with Finance to validate assumptions and reconcile commercial impacts.</li>
<li>Work with Supply Chain to understand stock constraints affecting planned promotions.</li>
<li>Participate in cross‑functional trading meetings, summarising analytical findings.</li>
<li>Improve data quality and support enhancements to pricing models.</li>
</ul>
The Ideal Candidate:
<ul><li>Experience: Minimum 3+ years in data, commercial, analytics or pricing roles</li>
<li>Background in PE firms, Retail and/or Food/CPG suppliers.</li>
<li>Education: Bachelor's or Master's degree in Maths, Statistics, Economics, Engineering, Data Science, or related quantitative fields would be advantageous</li>
</ul>
Benefits:
<ul><li>Competitive salary</li>
<li>Pension</li>
<li>22 days annual leave, plus bank holidays</li>
<li>Onsite parking</li>
<li>Life assurance</li>
</ul>
We understand that no applicant ever ticks every box so please do consider applying should some or most of the above apply. Bestway Group is an equal opportunity employer and we value diversity and inclusion. We welcome people of different nationalities, backgrounds, experiences, abilities, and perspectives. We want strong, and diverse teams built from talented individuals with different backgrounds identities and experiences.
If this is of interest to you and you would like to learn more, please do get in touch, we are looking forward to hearing from you.</div>

Pricing Analytics Manager

Boston Consulting Group (BCG)

<div>
 Who We Are
 
 
 Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
 
 
 To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
 
 
 What You'll Do
 
 
 Are you passionate about harnessing the power of Generative AI to solve real-world
 
 
 problems? As a world-renowned and leading AI Consulting firm, we are actively
 
 
 seeking hands-on GenAI experts to join our PSG BI&amp;A Team.
 
 
 As a GenAI IT Senior Data Scientist you will work closely with our Partner Services
 
 
 Group to understand their key challenges, define GenAI products, win buy-in for your
 
 
 recommendations and collaborate with other IT teams to transform stakeholder
 
 
 potentials into performance.
 
 
 Finally, as a GenAI IT Senior Data Scientist, you will contribute to PSG BI&amp;A Data
 
 
 Science expertise and will be responsible for overseeing end-to-end Data Science and
 
 
 GenAI solutions, collaborating closely with the BI&amp;A Squad to deliver on stakeholder
 
 
 objectives.
 
 
 What You'll Bring
 
 
 We&rsquo;re looking for exceptional talent with experience in core Data Science and AI
 
 
 
 To Join Us. You Will Typically Have
 
 
 
 <ul>
 <li>
 +4 years experience in IT strategy and consulting, professional software
 
 
 </li>
 </ul>
 development or Data Science product organisation.
 
 
 <ul>
 <li>
 A bachelor's or master&rsquo;s degree in computer science, Engineering, or a related
 
 
 </li>
 </ul>
 field. Preferably with a focus on artificial intelligence, machine learning, or
 
 
 data science.
 
 
 <ul>
 <li>
 Strong Data Science experience with proficiency in Python, Snowflake, DBT
 
 
 </li>
 </ul>
 and Tableau with experience working in a Data Engineering team and a
 
 
 proven ability to communicate effectively and provide clear, actionable
 
 
 insights to senior stakeholders
 
 
 <ul>
 <li>
 Strong technical expertise in Generative AI, Data Science and Machine
 
 
 </li>
 </ul>
 Learning.
 
 
 <ul>
 <li>
 A strategic thinker, entrepreneurial, able to work creatively and analytically in
 
 
 </li>
 </ul>
 a problem-solving environment
 
 
 <ul>
 <li>
 Outstanding analytical and conceptual skills, strong customer focus and
 
 
 </li>
 </ul>
 mental agility with a results orientation
 
 
 <ul>
 <li>
 Sound understanding of GenAI solution constructs e.g., LLMs, RAG,
 
 
 </li>
 </ul>
 Guardrails, MLOps and multi-modality
 
 
 <ul>
 <li>
 Experience managing and executing data science and AI projects, from
 
 
 </li>
 </ul>
 ideation to deployment, while ensuring alignment with business objectives
 
 
 and delivering impactful outcomes
 
 
 <ul>
 <li>
 Understanding of various GenAI platform &amp; middleware and how they fit in
 
 
 </li>
 </ul>
 GenAI architecture e.g., AWS Bedrock, Google Vertex, Langchain or
 
 
 LlamaIndex
 
 
 <ul>
 <li>
 Able to understand &amp; apply advanced prompt engineering methods and
 
 
 </li>
 </ul>
 related concepts (RAG, context windows, memory) RAG is a must!
 
 
 <ul>
 <li>
 Experience in the organisation of workshops at peer level and facilitating
 
 
 </li>
 </ul>
 meetings
 
 
 <ul>
 <li>
 Ability to work autonomously while contributing effectively as part of a team
 </li>
 <li>
 Strong business acumen; can frame complex problems in appropriate
 
 
 </li>
 </ul>
 business contexts
 
 
 <ul>
 <li>
 Highly professional and rigorous, results-oriented, driven and hard-working
 </li>
 <li>
 Have excellent verbal and written communication skills in English
 </li>
 <li>
 Loyal and reliable, possessing the highest ethical standard
 </li>
 <li>
 Good interpersonal skills but also judgement independency and autonomy
 </li>
 <li>
 Ability to propose innovative ideas, build empathy within the firm and win the
 
 
 </li>
 </ul>
 trust of key stakeholders
 
 
 Who You'll Work With
 
 
 You will be part of the PSG BI&amp;A Squad and our IT Functional Technology team,
 
 
 partnering with the AI Center of Excellence (AI CoE), Genie team, Responsible AI,
 
 
 and Security/Architecture teams. Together, you&rsquo;ll deliver scalable, secure, and
 
 
 innovative GenAI solutions that will transform how PSG teams engage with
 
 
 technology.
 
 
 Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
 
 
 BCG is an E - Verify Employer. Click here for more information on E-Verify.
</div>

Global IT Data Scientist Senior Specialist

Information Tech Consultants

<div>
 
 
 Job Title:
 
 Data Scientist/Machine Learning Engineer
 
 
 
 Location:
 
 UK
 
 
 
 Experience:
 
 2&ndash;5 years
 
 
 
 Education:
 
 Master's in Science (IT/Computer Science/Engineer)
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 UK based candidates only.
 
 
 
 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.
 
 
 
 Required Skills:
 
 
 <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>
 
 
 Preferred Skills:
 
 
 <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>
 
 
 
 
 
 Qualifications :
 
 
 <ul>
 <li>
 
 Master&rsquo;s (Required)
 
 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>
 
 
</div>

Machine Learning Engineer

Accenture

<div>YOU ARE
As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your spans the full solution lifecycle &mdash; assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps &amp; MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.
THE WORK<ul><li>
Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions</li><li>
Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps &amp; MLOps</li><li>
Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC</li><li>
Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites</li><li>
Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production</li><li>
Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools</li><li>
Justify the value of model approaches in business problems</li><li>
Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production</li></ul></div>
 
<div>EDUCATION<ul><li>
Bachelor's Degree in Computer Science, Computer Engineering, Data Science, or a related field</li></ul>
BASIC (REQUIRED) QUALIFICATION<ul><li>
Work or coursework experience with machine learning engineering or machine learning science, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.</li><li>
Work or coursework experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming</li></ul>
PREFERRED QUALIFICATION<ul><li>
Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)..</li><li>
Experience working with language models like LLM's APIs and optimizing their usage for specific applications.</li><li>
Experience with the following programming languages: Python, C++, Java, R, SQL</li><li>
Strong written &amp; verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders</li><li>
Strong client-facing skillsets in a consulting environment</li><li>
Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams</li><li>
Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation</li></ul></div>

AI/ML Computational Science Senior Analyst

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