machine learning consultant

Infosys

<div><h2 class="jobSectionHeader"><b>Job Description:</b></h2><br>
<ul>
<li>A Pricing Revenue Growth Consultant advise to build a pricing and promotion tool for CPG client which would have pricing strategies trade promotions and revenue growth initiatives</li>
<li>This will involve building analytics and machine learning models for price elasticity promotion effectiveness and trade promotion optimization</li>
<li>Consultant would require collaborating with CPG business marketing data scientist and other teams for a successful delivery of project and tool</li>
<li>Required Skills</li>
<li>Business Domain Skills</li>
<li>o Trade Promotion Management TPM Trade Promotion Optimization TPO Trade Spend Efficiency</li>
<li>o Promotion Depth Frequency Forecasting Scenario and Effectiveness</li>
<li>o Price Pack Architecture Pricing Elasticity and Price Sensitivity</li>
<li>o Competitive Price tracking benchmarking and effectiveness</li>
<li>o Revenue Growth Management Category and Channel Growth Market Entry and New Product Pricing</li>
<li>o Financial Modeling Dynamic pricing implementation</li>
<li>o AI Machine Learning for Pricing</li></ul><br>
<h2 class="jobSectionHeader"><b>
Key Responsibilities:</b></h2><br>
<ul>
<li>Consulting Skills</li>
<li>o Hypothesis driven problem solving</li>
<li>o Go to market pricing and revenue growth execution</li>
<li>o Advisory Presentation Data Storytelling</li>
<li>o Project Leadership and Execution</li></ul><br>
<h2 class="jobSectionHeader"><b>
Technical Requirements:</b></h2><br>
<ul>
<li>Technical Skills</li>
<li>o Proficiency in programming languages like Python and R for data manipulation and analysis</li>
<li>o Expertise in machine learning algorithms and statistical modeling techniques</li>
<li>o Familiarity with data warehousing and data pipelines</li>
<li>o Experience with data visualization tools like Tableau or Power BI</li>
<li>o Experience in Cloud platforms e</li>
<li>g</li>
<li>ADF Data bricks Azure and their AI services</li></ul><br>
<h2 class="jobSectionHeader"><b>
Additional Responsibilities:</b></h2><br>
<ul>
<li>Typical Work Environment</li>
<li>Collaborative work with cross functional teams across sales marketing and product development</li>
<li>Stakeholder Management Team Handling</li>
<li>Fast paced environment with a focus on delivering timely insights to support business decisions</li>
<li>Excellent problem solving skills and ability to address complex technical challenges</li>
<li>Effective communication skills to collaborate with cross functional teams and stakeholders</li>
<li>Potential to work on multiple projects simultaneously prioritizing tasks based on business impact</li>
<li>Qualification</li>
<li>Degree in Data Science Computer Science with data science specialization</li>
<li>Master s in business administration and Analytics preferred</li></ul><br>
<h2 class="jobSectionHeader"><b>
Preferred Skills:</b></h2>
Technology-&gt;Big Data-&gt;Text Analytics</div>

Pricing and Revenue Growth Consultant

CHRYSELYS

<div><div><b>We&rsquo;re Hiring: Consultant &ndash; Insights &amp; Analytics at Chryselys</b></div><div><b>
Location:</b> Hyderabad</div><div>
<b>Department:</b> Insights &amp; Analytics</div><div>
<b>Job Type:</b> Full-time</div><div>
<b>Reports To:</b> Manager</div><div>
</div><div><b>About Us:</b></div><div><b>
Chryselys</b> is a Pharma Analytics &amp; Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations.</div><div>
We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights.</div><div><b>
Who we are:</b></div><div><b>
People -</b> Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies.</div><div><b>
Quality -</b> Our goal is to deliver the value of a big five consulting company without the big five cost.</div><div><b>
Technology</b> - Our solutions are Business centric built on cloud native technologies.</div><div>
</div><div><b>Role Overview:</b></div><div>
As a Data Scientist Consultant at Chryselys, you will leverage advanced analytics, machine learning, and AI to transform complex datasets into actionable insights that drive strategic decision-making for our clients in the pharmaceutical and healthcare industries. You will work closely with cross-functional teams, including client stakeholders, business consultants, and analytics experts, to develop predictive models, optimize operations, and deliver innovative solutions that address critical business challenges.</div><div>
</div><div><b>Key Responsibilities:</b></div><ul><li>Design, develop, and implement machine learning models and algorithms to analyze pharmaceutical datasets (e.g., IQVIA, Symphony, Veeva, Open data) and provide actionable insights.</li><li>Utilize advanced statistical techniques and data science methodologies to drive insights from complex data sources.</li><li>Build and maintain data pipelines and scalable machine learning models on Data Lake architecture, leveraging cloud-based platforms such as AWS (Redshift, S3, SageMaker, etc.).</li><li>Collaborate with cross-functional teams to translate business problems into data science solutions.</li><li>Create and present data visualizations, dashboards, and reports using tools like PowerBI, Tableau, Qlik, QuickSight, and ThoughtSpot to communicate findings and recommendations to clients.</li><li>Conduct exploratory data analysis, data profiling, and feature engineering to prepare datasets for predictive modelling.</li><li>Evaluate model performance, optimize algorithms, and ensure robustness and accuracy in predictions.</li><li>Stay current with the latest advancements in data science, machine learning, and AI, and apply them to ongoing projects.</li></ul><div><b>
What You Bring:</b></div><ul><li><b>Education:</b> Bachelor's or master's degree in data science, statistics, computer science, engineering, or a related quantitative field with a strong academic record.</li><li><b>Experience:</b> 5-7 years of experience in data science, particularly in the pharmaceutical or healthcare industry, working with key datasets like Sales, Claims, and Payer data.</li><li><b>Skills:</b>
</li></ul><div>&sect; Proficiency in programming languages such as Python and R, with a deep understanding of libraries like TensorFlow, Scikit-learn, and Pandas.</div><div>
&sect; Strong experience with SQL and cloud-based data processing environments such as AWS (Redshift, Athena, S3), and experience with Jupyter Notebooks/SageMaker.</div><div>
&sect; Demonstrated ability to build data visualizations and communicate insights through tools like PowerBI, Tableau, Qlik, QuickSight, or similar.</div><div>
&sect; Strong analytical skills, with experience in hypothesis testing, A/B testing, and statistical analysis.</div><div>
&sect; Ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment.</div><div>
&sect; Excellent communication and presentation skills, with the ability to explain complex data science concepts to non-technical stakeholders.</div><div>
&sect; A strong problem-solving mindset, with the ability to adapt and innovate in a dynamic consulting environment.</div><div>
</div><div><b>How to Apply:</b></div><div>
Ready to make an impact? Apply now by clicking [here] or visit our careers page at https://chryselys.com/chryselys-career</div><div>
Please include your resume and a cover letter detailing why you&rsquo;re the perfect fit for this role.</div><div>
</div><div><b>Equal Employment Opportunity:</b></div><div>
Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</div><div><b>
Connect with Us:</b></div><div>
Follow us for updates and more opportunities: https://linkedin.com/company/chryselys/mycompany</div><div><b>
Discover more about our team and culture:</b> http://chryselys.com</div></div><div></div>

Consultant - Data Science

Accenture

We combine our strength in technology with unmatched industry experience, functional expertise and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy &amp; Consulting, Technology, Operations, Industry X and Accenture Song. These capabilities, together with our culture of shared success and commitment to creating 360  value, enable us to help our clients succeed and build trusted, lasting relationships. We measure our success by the 360  value we create for our clients, each other, our shareholders, partners and communities. About the Role We are seeking a dynamic Data &amp; AI Consultant with strong expertise in applying advanced analytics, artificial intelligence, and machine learning to marketing and business challenges. This role blends technical consulting with marketing strategy , enabling clients to harness data-driven insights and AI-powered solutions to optimize customer engagement, personalize campaigns, and maximize ROI. The ideal candidate is equally comfortable building analytical models as they are advising senior marketing leaders on how to leverage data and AI for growth. Key Responsibilities Consulting &amp; Strategy Partner with clients to understand their business goals, particularly in marketing, customer experience, and digital transformation. Translate marketing challenges into data and AI solutions (e.g., segmentation, recommendation engines, predictive analytics, customer lifetime value models). Develop roadmaps for implementing AI-driven marketing solutions that improve personalization, targeting, and campaign performance. Data &amp; AI Solutioning Design, build, and implement AI/ML models for marketing applications (e.g., churn prediction, lead scoring, NLP for sentiment analysis, dynamic pricing). Work with structured and unstructured data to generate insights that inform brand, product, and digital strategies. Assess and integrate marketing technology platforms (CRM, CDP, marketing automation tools) with data pipelines and AI solutions. Explore and apply Agentic AI frameworks to enable autonomous decision-making, workflow orchestration, and adaptive personalization in marketing use cases Marketing Analytics &amp; Insights Deliver advanced marketing analytics, including campaign effectiveness, attribution modeling, and customer journey analysis. Build dashboards and visualizations that communicate data-driven stories to marketing and leadership teams. Provide actionable insights that drive customer acquisition, retention, and engagement. Client Engagement &amp; Enablement Act as a trusted advisor to marketing and business stakeholders. Lead workshops and training sessions on AI in marketing (generative AI, personalization, predictive modeling). Stay ahead of AI, data, and marketing technology trends to guide clients on emerging opportunities. 4+ years of work experience. Good knowledge of AI/ML techniques (classification, clustering, NLP, recommendation engines, generative AI). Proficiency in data analytics tools and programming (Python, R, SQL, Power BI/Tableau). Experience with marketing technology platforms (HubSpot, Salesforce Marketing Cloud, Adobe Experience Cloud, Google Analytics). Experience in building Agentic AI systems, conversational AI / AI bots , Prompting Familiarity with cloud ecosystems (Azure, AWS, GCP) for AI deployment. Professional Skills Excellent communication and presentation skills; able to simplify complex data concepts for non-technical stakeholders. Strong client-facing consulting experience. Ability to work cross-functionally and manage multiple projects simultaneously. Preferred Background Degree in Data Science, Computer Science, Marketing Analytics, or a related field. Prior experience in consulting, agency, or corporate marketing analytics roles. Familiarity with privacy and ethical AI considerations in marketing. What We Offer Exposure to cutting-edge AI and data projects across industries A collaborative environment with experts in AI, data science, and digital strategy. Ongoing professional development and certification opportunities. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.

Data & AI Consultant

Experian

<div>
 <strong>
  Company Description
  <br/>
  <br/>
 </strong>
 Ready to make a difference? Experian has evolved into a global tech company and specialized in data and analytics. We're passionate about unlocking the power of data to transform lives and create opportunities for consumers, businesses and society. We're a member of the FTSE 30 and for more than 125 years we've helped economies and communities flourish &ndash; and we're not done.
 <br/>
 <br/>
 Discover the Unexpected - Our 22k amazing employees in 30+ countries believe the possibilities for you, and the world, are growing. We're investing in the future, through new technologies, experienced people and new ideas so we can help create a better tomorrow. To do this we employ 'big-thinkers' that share our purpose #uniquelyexperian
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 We are looking for Data Scientist Consultants to join our Experian Turkey Team!
 <br/>
 <br/>
 The role requires that you have a strong background in machine learning and data mining. A proven track record in project partnership and stakeholder management is essential. You will be a team player who is eager to both teach and learn on a daily basis, who is proactive and self-motivated and has excellent communication skills.
 <br/>
 <br/>
 <ul>
  <li>
   Engage in a consultative way with Experian clients to identify problems and define, design, and deliver analytical solutions,
  </li>
  <li>
   Define and design solutions for the whole customer lifecycle and for regulatory parameter estimation and validation projects based on Experian Decision Analytics best practice solutions and present these to clients,
  </li>
  <li>
   Suggest market adequate solutions in the analytics and regulatory area and take responsibility for producing proposals,
  </li>
  <li>
   Demonstrate good project management skills and act as a project leader for delivering analytical projects,
  </li>
  <li>
   Prioritize workloads and provide mentoring and guidance to Data Analysts,
  </li>
  <li>
   Develop strong working relationships with managers and executives within client organizations to add value to client&rsquo;s business and achieve project objectives,
  </li>
  <li>
   Seek out opportunities that help grow the business,
  </li>
  <li>
   Actively contribute to winning new business from new and existing customers &ndash; nurture and enhance existing client relationships; identify and progress opportunities to enhance existing solutions and cross sell other products and services,
  </li>
  <li>
   Identify opportunities to deliver analytical projects to clients and conduct feasibility studies in support of sales activities,
  </li>
  <li>
   Proactive and regular communication with Sales team to identify and progress on opportunities
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Degree or equivalent standard, with a high numeric content e.g. Engineering, Mathematics, Statistics, Economics, Econometrics, Operational Research from top universities. Degree in Data Science is a plus.
  </li>
  <li>
   3-5 years of work experience preferably in analytics and consultancy related areas. Proven experience of managing and delivering high quality data analytics.
  </li>
  <li>
   Excellent presentation, communication and negotiation skills.
  </li>
  <li>
   Strong organizational and leadership skills. Ability to cope and deliver excellent results in a high-performance environment.
  </li>
  <li>
   Ability to build and maintain solid long-term relationships
  </li>
  <li>
   Ability to work independently and proactively. Problem solver who proposes innovative solutions, able to shape and define solutions matched to requirements.
  </li>
  <li>
   Good knowledge and experienced in business unit products and operations especially in Banking and Telecommunications sectors (i.e. Credit risk management, Customer management experience, Data management, Basel Accord, IFRS9, Collections, etc.)
  </li>
  <li>
   Excellent PC skills, especially in MS Word, PowerPoint and Excel
  </li>
  <li>
   Experience in programming and data preparation (SAS, SPSS, SQL, proficiency in Python and preferably in some of R, Scala, C/C++ or similar). Good knowledge and experience with several learning techniques such as clustering, regression, neural networks, SVMs, trees, and ensemble methods such as random forests and boosting.
  </li>
  <li>
   Fluency in written and spoken English
  </li>
  <li>
   Experience in achieving and being tracked on financial targets is a plus
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Information
  <br/>
  <br/>
 </strong>
 Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward and recognition, volunteering... the list goes on. Experian's people first approach is award-winning; Great Place To Work&trade; in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.
 <br/>
 <br/>
 Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
 <br/>
 <br/>
 Experian Careers - Creating a better tomorrow together
 <br/>
 <br/>
 Experian Careers - Creating a better tomorrow together
 <br/>
 <br/>
 Find out what its like to work for Experian by clicking here
</div>


Data Scientist Consultant

Deloitte

<div></div><div><div><div><div><div>Job requisition ID :: 86550
</div></div></div></div><div><div><div><div>Date: Oct 24, 2025
</div></div></div></div><div><div><div><div>Location: Delhi
</div></div></div></div><div><div><div><div>Designation: Consultant
</div></div></div></div><div><div><div><div>Entity: Deloitte South Asia LLP
</div></div></div></div><div><div><div><div><p>Looking for a strong PySpark Data Engineer having experience in Big Data and exposure to Machine Learning based forecasting Projects for FMCG Client.</p><br>
<p></p><ul><li>
Strong understanding of various machine learning methods.</li><li>
3 to 5 years of experience in ML Models development and fine tuning.</li><li>
Hands on experience in <b>building traditional machine learning, deep learning and Time-series forecasting models</b></li><li>
Hands-on experience and solid knowledge of machine learning frameworks such as <b>Keras, TensorFlow, and PyTorch, as well as MLOps platforms.</b></li><li>
Hands-on experience with <b>Azure Databricks (ADB)</b> for big data processing</li><li>
Proficiency in Python for data engineering tasks like data wrangling and data transformation.</li><li>
Strong hands-on experience with <b>PySpark</b> for distributed data processing.</li><li>
Experience of Machine Learning projects and CPG industry will be added advantage</li></ul></div></div></div></div></div><p></p>

Technology and Transformation - EAD - Engineering - Senior Consultant -Data Engineer

<div></div><div><div><div><div><div>Job requisition ID :: 86551
</div></div></div></div><div><div><div><div>Date: Oct 24, 2025
</div></div></div></div><div><div><div><div>Location: Bengaluru
</div></div></div></div><div><div><div><div>Designation: Senior Consultant
</div></div></div></div><div><div><div><div>Entity: Deloitte South Asia LLP
</div></div></div></div><div><div><div><div><p>Looking for a strong pySpark Data Engineer having experience in Big Data and exposure to Machine Learning based forecasting Projects for a major FMCG Client.</p><br>
<p></p><ul><li>
Strong understanding of various machine learning methods.</li><li>
3 to 6 years of experience in ML Models development and fine tuning.</li><li>
Hands on experience in <b>building traditional machine learning, deep learning and Time-series forecasting models</b></li><li>
Hands-on experience and solid knowledge of machine learning frameworks such as <b>Keras, TensorFlow, and PyTorch, as well as MLOps platforms.</b></li><li>
Hands-on experience with <b>Azure Databricks (ADB)</b> for big data processing</li><li>
Proficiency in Python for data engineering tasks like data wrangling and data transformation.</li><li>
Strong hands-on experience with <b>PySpark</b> for distributed data processing.</li><li>
Experience of Machine Learning projects and CPG industry will be added advantage</li></ul></div></div></div></div></div><p></p>

Arcus Search

<div>
 <p>
  Role: Data &amp; AI Consultant
 </p>
 <p>
  Location: Riyadh - hybrid working available
 </p>
 <p>
  Compensation: 30,000 SAR / Month
 </p>
 <p>
  <br/>
 </p>
 <p>
  The role:
 </p>
 <p>
  <br/>
 </p>
 <p>
  This will be a crucial hire into the team, working directly alongside the Director of KSA to build out the companies presence in KSA, after successfully scaling globally.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You will be involved in the complete E2E activities, from Pre-Sales to Project Implementation. The business works across different industries, therefore, you will get exposure across Retail, Logistics, Energy, Healthcare, Logistics, Manufacturing + more.
 </p>
 <p>
  <br/>
 </p>
 <p>
  They also offer a complete service offering from Consulting (Data Strategy, Data Management, Data Governance) to Implementation (Analytics, AI &amp; ML) to Product &amp; Solutions (SaaS, PaaS, iPaaS, Data Platforms).
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Experience Required:
 </p>
 <ul>
  <li>
   Experience in Pre-Sales - specifically responding to RFPs and RFIs
  </li>
  <li>
   A broad understand &amp; professional experience across the Data Lifecycle, from Data Management, to Analytics &amp; AI
  </li>
  <li>
   Knowledge of Saudi Frameworks &amp; Guidelines, including NDMO and DGA
  </li>
  <li>
   Fluent in Arabic
   <strong>
    (Must have)
   </strong>
   and an excellent communicator
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  If interested, please apply below with your CV.
 </p>
 <p>
 </p>
</div>


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